AI EVALUATION, IN CONTEXT.BY EQUALITY MACHINE

Model reports

GraphNIAH

Follow real citation relationships across long contexts and verify reachability answers.

Primary results: paper v1 Table 23 pooled question-depth accuracy. GPT-5.6-Sol uses 300 examples at depths 8/16/32; seven peers use 400 at 4/8/16/32. Full experimental tables follow.

Find citation paths, not isolated facts

Can a model follow a citation graph described inside a long prompt? GraphNIAH asks whether one paper reaches another, which candidate is reachable, or how many papers are reachable. Answers are calculated from the graph.

GraphNIAH paper v1 · GraphNIAH author project

A versioned citation-graph collection

Version 1 uses the Semantic Scholar 2026-10-06 snapshot and papers dated from 2026-04-01. Table 2 reports 1,760 distinct evaluation examples, with no training/development split. The author pipeline and released dataset support rebuilding later collections.

GraphNIAH paper v1 · GraphNIAH author dataset · GraphNIAH author code

Keep every experiment separate

Primary scores use only Table 23’s pooled question-depth column. This is one experiment, not an overall score across GraphNIAH. Each extracted final answer must exactly match graph ground truth. The 200k context label is a target, not the measured length of every prompt.

GraphNIAH paper v1

Model settings and incomplete subsets

Default temperature is 1.0 and reasoning effort is low. Qwen has a 40,000-token output cap and provider fallback. GPT-5.6-Sol lacks depth 4 and some component-size examples; its pooled rows therefore have smaller denominators.

GraphNIAH paper v1

What this result does not establish

Graph reachability is narrower than general research ability. Qwen’s undisclosed training cutoffs are approximated by release dates; this does not independently prove contamination absence. Publication dates identify this paper version, not individual evaluation runs.

GraphNIAH paper v1 · GraphNIAH author code

Question-depth experiments

Every distinct reported accuracy cell for this experiment is retained, including conditional subsets. Repeated copies of the same measurement are shown once. These rows do not replace the primary pooled question-depth metric.

Question-depth experiments · paper v1 accuracy (%) with 95% Wilson intervals
ModelSource tableCondition / effortAccuracy [95% interval]Evaluated examples N
GPT-5.6-SolT23all three reachability tasks; question depth k=8 | low75.00 [65.70, 82.45]100
GPT-5.6-SolT23all three reachability tasks; question depth k=16 | low56.00 [46.23, 65.33]100
GPT-5.6-SolT23all three reachability tasks; question depth k=32 | low54.00 [44.26, 63.44]100
GPT-5.6-SolT23all three reachability tasks; question depth pooled k=8,16,32 only | low61.67† [56.05, 66.99]300
GPT-5.6-LunaT23all three reachability tasks; question depth k=4 | low66.00 [56.28, 74.54]100
GPT-5.6-LunaT23all three reachability tasks; question depth k=8 | low39.00 [30.02, 48.80]100
GPT-5.6-LunaT23all three reachability tasks; question depth k=16 | low37.00 [28.18, 46.78]100
GPT-5.6-LunaT23all three reachability tasks; question depth k=32 | low34.00 [25.46, 43.72]100
GPT-5.6-LunaT23all three reachability tasks; question depth pooled k=4,8,16,32 | low44.00 [39.22, 48.90]400
Gemini-3.1-ProT23all three reachability tasks; question depth k=4 | low71.00 [61.46, 78.99]100
Gemini-3.1-ProT23all three reachability tasks; question depth k=8 | low62.00 [52.21, 70.90]100
Gemini-3.1-ProT23all three reachability tasks; question depth k=16 | low57.00 [47.22, 66.27]100
Gemini-3.1-ProT23all three reachability tasks; question depth k=32 | low52.00 [42.32, 61.54]100
Gemini-3.1-ProT23all three reachability tasks; question depth pooled k=4,8,16,32 | low60.50 [55.63, 65.17]400
Gemini-3.8-FlashT23all three reachability tasks; question depth k=4 | low87.00 [79.02, 92.24]100
Gemini-3.8-FlashT23all three reachability tasks; question depth k=8 | low83.00 [74.45, 89.11]100
Gemini-3.8-FlashT23all three reachability tasks; question depth k=16 | low87.00 [79.02, 92.24]100
Gemini-3.8-FlashT23all three reachability tasks; question depth k=32 | low59.00 [49.20, 68.13]100
Gemini-3.8-FlashT23all three reachability tasks; question depth pooled k=4,8,16,32 | low79.00 [74.74, 82.71]400
Gemini-3.6-FlashT23all three reachability tasks; question depth k=4 | low75.00 [65.70, 82.45]100
Gemini-3.6-FlashT23all three reachability tasks; question depth k=8 | low56.00 [46.23, 65.33]100
Gemini-3.6-FlashT23all three reachability tasks; question depth k=16 | low47.00 [37.51, 56.71]100
Gemini-3.6-FlashT23all three reachability tasks; question depth k=32 | low41.00 [31.87, 50.80]100
Gemini-3.6-FlashT23all three reachability tasks; question depth pooled k=4,8,16,32 | low54.75 [49.85, 59.56]400
Qwen3.5-397B-A17BT23all three reachability tasks; question depth k=4 | low65.00 [55.25, 73.64]100
Qwen3.5-397B-A17BT23all three reachability tasks; question depth k=8 | low48.00 [38.46, 57.68]100
Qwen3.5-397B-A17BT23all three reachability tasks; question depth k=16 | low42.00 [32.80, 51.79]100
Qwen3.5-397B-A17BT23all three reachability tasks; question depth k=32 | low38.00 [29.10, 47.79]100
Qwen3.5-397B-A17BT23all three reachability tasks; question depth pooled k=4,8,16,32 | low48.25 [43.39, 53.14]400
Qwen3.5-122B-A10BT23all three reachability tasks; question depth k=4 | low65.00 [55.25, 73.64]100
Qwen3.5-122B-A10BT23all three reachability tasks; question depth k=8 | low45.00 [35.61, 54.76]100
Qwen3.5-122B-A10BT23all three reachability tasks; question depth k=16 | low40.00 [30.94, 49.80]100
Qwen3.5-122B-A10BT23all three reachability tasks; question depth k=32 | low37.00 [28.18, 46.78]100
Qwen3.5-122B-A10BT23all three reachability tasks; question depth pooled k=4,8,16,32 | low46.75 [41.91, 51.65]400
Qwen3.5-35B-A3BT23all three reachability tasks; question depth k=4 | low63.00 [53.22, 71.82]100
Qwen3.5-35B-A3BT23all three reachability tasks; question depth k=8 | low42.00 [32.80, 51.79]100
Qwen3.5-35B-A3BT23all three reachability tasks; question depth k=16 | low37.00 [28.18, 46.78]100
Qwen3.5-35B-A3BT23all three reachability tasks; question depth k=32 | low39.00 [30.02, 48.80]100
Qwen3.5-35B-A3BT23all three reachability tasks; question depth pooled k=4,8,16,32 | low45.25 [40.44, 50.15]400
GPT-5.6-SolT5YES/NO; question depth k=8 | low96.43 [82.29, 99.37]28
GPT-5.6-SolT5YES/NO; question depth k=16 | low57.50 [42.19, 71.49]40
GPT-5.6-SolT5YES/NO; question depth k=32 | low53.49 [38.92, 67.49]43
GPT-5.6-SolT5YES/NO; question depth pooled k=8,16,32 only | low65.77† [56.54, 73.93]111
GPT-5.6-LunaT5YES/NO; question depth k=4 | low94.12 [80.91, 98.37]34
GPT-5.6-LunaT5YES/NO; question depth k=8 | low50.00 [32.63, 67.37]28
GPT-5.6-LunaT5YES/NO; question depth k=16 | low50.00 [35.20, 64.80]40
GPT-5.6-LunaT5YES/NO; question depth k=32 | low51.16 [36.75, 65.38]43
GPT-5.6-LunaT5YES/NO; question depth pooled k=4,8,16,32 | low60.69 [52.56, 68.27]145
Gemini-3.1-ProT5YES/NO; question depth k=4 | low100.00 [89.85, 100.00]34
Gemini-3.1-ProT5YES/NO; question depth k=8 | low89.29 [72.80, 96.29]28
Gemini-3.1-ProT5YES/NO; question depth k=16 | low67.50 [52.02, 79.92]40
Gemini-3.1-ProT5YES/NO; question depth k=32 | low67.44 [52.52, 79.51]43
Gemini-3.1-ProT5YES/NO; question depth pooled k=4,8,16,32 | low79.31 [72.00, 85.11]145
Gemini-3.8-FlashT5YES/NO; question depth k=4 | low97.06 [85.08, 99.48]34
Gemini-3.8-FlashT5YES/NO; question depth k=8 | low100.00 [87.94, 100.00]28
Gemini-3.8-FlashT5YES/NO; question depth k=16 | low85.00 [70.93, 92.94]40
Gemini-3.8-FlashT5YES/NO; question depth k=32 | low67.44 [52.52, 79.51]43
Gemini-3.8-FlashT5YES/NO; question depth pooled k=4,8,16,32 | low85.52 [78.87, 90.33]145
Gemini-3.6-FlashT5YES/NO; question depth k=4 | low100.00 [89.85, 100.00]34
Gemini-3.6-FlashT5YES/NO; question depth k=8 | low82.14 [64.41, 92.12]28
Gemini-3.6-FlashT5YES/NO; question depth k=16 | low67.50 [52.02, 79.92]40
Gemini-3.6-FlashT5YES/NO; question depth k=32 | low58.14 [43.33, 71.62]43
Gemini-3.6-FlashT5YES/NO; question depth pooled k=4,8,16,32 | low75.17 [67.55, 81.49]145
Qwen3.5-397B-A17BT5YES/NO; question depth k=4 | low94.12 [80.91, 98.37]34
Qwen3.5-397B-A17BT5YES/NO; question depth k=8 | low71.43 [52.94, 84.75]28
Qwen3.5-397B-A17BT5YES/NO; question depth k=16 | low50.00 [35.20, 64.80]40
Qwen3.5-397B-A17BT5YES/NO; question depth k=32 | low51.16 [36.75, 65.38]43
Qwen3.5-397B-A17BT5YES/NO; question depth pooled k=4,8,16,32 | low64.83 [56.76, 72.13]145
Qwen3.5-122B-A10BT5YES/NO; question depth k=4 | low94.12 [80.91, 98.37]34
Qwen3.5-122B-A10BT5YES/NO; question depth k=8 | low60.71 [42.41, 76.43]28
Qwen3.5-122B-A10BT5YES/NO; question depth k=16 | low50.00 [35.20, 64.80]40
Qwen3.5-122B-A10BT5YES/NO; question depth k=32 | low51.16 [36.75, 65.38]43
Qwen3.5-122B-A10BT5YES/NO; question depth pooled k=4,8,16,32 | low62.76 [54.66, 70.20]145
Qwen3.5-35B-A3BT5YES/NO; question depth k=4 | low88.24 [73.38, 95.33]34
Qwen3.5-35B-A3BT5YES/NO; question depth k=8 | low57.14 [39.07, 73.49]28
Qwen3.5-35B-A3BT5YES/NO; question depth k=16 | low50.00 [35.20, 64.80]40
Qwen3.5-35B-A3BT5YES/NO; question depth k=32 | low55.81 [41.11, 69.57]43
Qwen3.5-35B-A3BT5YES/NO; question depth pooled k=4,8,16,32 | low62.07 [53.96, 69.56]145
GPT-5.6-SolT6multiple-choice; question depth k=8 | low100.00 [90.82, 100.00]38
GPT-5.6-SolT6multiple-choice; question depth k=16 | low86.21 [69.44, 94.50]29
GPT-5.6-SolT6multiple-choice; question depth k=32 | low69.23 [50.01, 83.50]26
GPT-5.6-SolT6multiple-choice; question depth pooled k=8,16,32 only | low87.10† [78.79, 92.46]93
GPT-5.6-LunaT6multiple-choice; question depth k=4 | low100.00 [89.85, 100.00]34
GPT-5.6-LunaT6multiple-choice; question depth k=8 | low65.79 [49.89, 78.79]38
GPT-5.6-LunaT6multiple-choice; question depth k=16 | low58.62 [40.74, 74.49]29
GPT-5.6-LunaT6multiple-choice; question depth k=32 | low46.15 [28.76, 64.54]26
GPT-5.6-LunaT6multiple-choice; question depth pooled k=4,8,16,32 | low69.29 [60.80, 76.65]127
Gemini-3.1-ProT6multiple-choice; question depth k=4 | low100.00 [89.85, 100.00]34
Gemini-3.1-ProT6multiple-choice; question depth k=8 | low92.11 [79.20, 97.28]38
Gemini-3.1-ProT6multiple-choice; question depth k=16 | low89.66 [73.61, 96.42]29
Gemini-3.1-ProT6multiple-choice; question depth k=32 | low65.38 [46.22, 80.59]26
Gemini-3.1-ProT6multiple-choice; question depth pooled k=4,8,16,32 | low88.19 [81.43, 92.71]127
Gemini-3.8-FlashT6multiple-choice; question depth k=4 | low100.00 [89.85, 100.00]34
Gemini-3.8-FlashT6multiple-choice; question depth k=8 | low100.00 [90.82, 100.00]38
Gemini-3.8-FlashT6multiple-choice; question depth k=16 | low100.00 [88.30, 100.00]29
Gemini-3.8-FlashT6multiple-choice; question depth k=32 | low80.77 [62.12, 91.49]26
Gemini-3.8-FlashT6multiple-choice; question depth pooled k=4,8,16,32 | low96.06 [91.11, 98.31]127
Gemini-3.6-FlashT6multiple-choice; question depth k=4 | low100.00 [89.85, 100.00]34
Gemini-3.6-FlashT6multiple-choice; question depth k=8 | low73.68 [57.99, 85.03]38
Gemini-3.6-FlashT6multiple-choice; question depth k=16 | low62.07 [44.00, 77.31]29
Gemini-3.6-FlashT6multiple-choice; question depth k=32 | low46.15 [28.76, 64.54]26
Gemini-3.6-FlashT6multiple-choice; question depth pooled k=4,8,16,32 | low72.44 [64.10, 79.47]127
Qwen3.5-397B-A17BT6multiple-choice; question depth k=4 | low97.06 [85.08, 99.48]34
Qwen3.5-397B-A17BT6multiple-choice; question depth k=8 | low73.68 [57.99, 85.03]38
Qwen3.5-397B-A17BT6multiple-choice; question depth k=16 | low75.86 [57.89, 87.78]29
Qwen3.5-397B-A17BT6multiple-choice; question depth k=32 | low61.54 [42.53, 77.57]26
Qwen3.5-397B-A17BT6multiple-choice; question depth pooled k=4,8,16,32 | low77.95 [69.98, 84.28]127
Qwen3.5-122B-A10BT6multiple-choice; question depth k=4 | low97.06 [85.08, 99.48]34
Qwen3.5-122B-A10BT6multiple-choice; question depth k=8 | low73.68 [57.99, 85.03]38
Qwen3.5-122B-A10BT6multiple-choice; question depth k=16 | low68.97 [50.77, 82.72]29
Qwen3.5-122B-A10BT6multiple-choice; question depth k=32 | low57.69 [38.95, 74.46]26
Qwen3.5-122B-A10BT6multiple-choice; question depth pooled k=4,8,16,32 | low75.59 [67.44, 82.24]127
Qwen3.5-35B-A3BT6multiple-choice; question depth k=4 | low97.06 [85.08, 99.48]34
Qwen3.5-35B-A3BT6multiple-choice; question depth k=8 | low68.42 [52.54, 80.92]38
Qwen3.5-35B-A3BT6multiple-choice; question depth k=16 | low58.62 [40.74, 74.49]29
Qwen3.5-35B-A3BT6multiple-choice; question depth k=32 | low57.69 [38.95, 74.46]26
Qwen3.5-35B-A3BT6multiple-choice; question depth pooled k=4,8,16,32 | low71.65 [63.27, 78.77]127
GPT-5.6-SolT7counting; question depth k=8 | low29.41 [16.83, 46.17]34
GPT-5.6-SolT7counting; question depth k=16 | low25.81 [13.70, 43.25]31
GPT-5.6-SolT7counting; question depth k=32 | low41.94 [26.42, 59.23]31
GPT-5.6-SolT7counting; question depth pooled k=8,16,32 only | low32.29† [23.78, 42.17]96
GPT-5.6-LunaT7counting; question depth k=4 | low0.00 [0.00, 10.72]32
GPT-5.6-LunaT7counting; question depth k=8 | low0.00 [0.00, 10.15]34
GPT-5.6-LunaT7counting; question depth k=16 | low0.00 [0.00, 11.03]31
GPT-5.6-LunaT7counting; question depth k=32 | low0.00 [0.00, 11.03]31
GPT-5.6-LunaT7counting; question depth pooled k=4,8,16,32 | low0.00 [0.00, 2.91]128
Gemini-3.1-ProT7counting; question depth k=4 | low9.38 [3.24, 24.22]32
Gemini-3.1-ProT7counting; question depth k=8 | low5.88 [1.63, 19.09]34
Gemini-3.1-ProT7counting; question depth k=16 | low12.90 [5.13, 28.85]31
Gemini-3.1-ProT7counting; question depth k=32 | low19.35 [9.19, 36.28]31
Gemini-3.1-ProT7counting; question depth pooled k=4,8,16,32 | low11.72 [7.23, 18.44]128
Gemini-3.8-FlashT7counting; question depth k=4 | low62.50 [45.25, 77.07]32
Gemini-3.8-FlashT7counting; question depth k=8 | low50.00 [34.07, 65.93]34
Gemini-3.8-FlashT7counting; question depth k=16 | low77.42 [60.19, 88.61]31
Gemini-3.8-FlashT7counting; question depth k=32 | low29.03 [16.10, 46.59]31
Gemini-3.8-FlashT7counting; question depth pooled k=4,8,16,32 | low54.69 [46.05, 63.05]128
Gemini-3.6-FlashT7counting; question depth k=4 | low21.88 [11.02, 38.76]32
Gemini-3.6-FlashT7counting; question depth k=8 | low14.71 [6.45, 30.13]34
Gemini-3.6-FlashT7counting; question depth k=16 | low6.45 [1.79, 20.72]31
Gemini-3.6-FlashT7counting; question depth k=32 | low12.90 [5.13, 28.85]31
Gemini-3.6-FlashT7counting; question depth pooled k=4,8,16,32 | low14.06 [9.08, 21.14]128
Qwen3.5-397B-A17BT7counting; question depth k=4 | low0.00 [0.00, 10.72]32
Qwen3.5-397B-A17BT7counting; question depth k=8 | low0.00 [0.00, 10.15]34
Qwen3.5-397B-A17BT7counting; question depth k=16 | low0.00 [0.00, 11.03]31
Qwen3.5-397B-A17BT7counting; question depth k=32 | low0.00 [0.00, 11.03]31
Qwen3.5-397B-A17BT7counting; question depth pooled k=4,8,16,32 | low0.00 [0.00, 2.91]128
Qwen3.5-122B-A10BT7counting; question depth k=4 | low0.00 [0.00, 10.72]32
Qwen3.5-122B-A10BT7counting; question depth k=8 | low0.00 [0.00, 10.15]34
Qwen3.5-122B-A10BT7counting; question depth k=16 | low0.00 [0.00, 11.03]31
Qwen3.5-122B-A10BT7counting; question depth k=32 | low0.00 [0.00, 11.03]31
Qwen3.5-122B-A10BT7counting; question depth pooled k=4,8,16,32 | low0.00 [0.00, 2.91]128
Qwen3.5-35B-A3BT7counting; question depth k=4 | low0.00 [0.00, 10.72]32
Qwen3.5-35B-A3BT7counting; question depth k=8 | low0.00 [0.00, 10.15]34
Qwen3.5-35B-A3BT7counting; question depth k=16 | low0.00 [0.00, 11.03]31
Qwen3.5-35B-A3BT7counting; question depth k=32 | low0.00 [0.00, 11.03]31
Qwen3.5-35B-A3BT7counting; question depth pooled k=4,8,16,32 | low0.00 [0.00, 2.91]128
GPT-5.6-SolT11YES/NO YES-label; question depth k=8 | low92.86 [68.53, 98.73]14
GPT-5.6-SolT11YES/NO YES-label; question depth k=16 | low15.00 [5.24, 36.04]20
GPT-5.6-SolT11YES/NO YES-label; question depth k=32 | low4.76 [0.85, 22.67]21
GPT-5.6-SolT11YES/NO YES-label; question depth pooled k=8,16,32 only | low30.91† [20.28, 44.03]55
GPT-5.6-SolT11YES/NO NO-label; question depth k=8 | low100.00 [78.47, 100.00]14
GPT-5.6-SolT11YES/NO NO-label; question depth k=16 | low100.00 [83.89, 100.00]20
GPT-5.6-SolT11YES/NO NO-label; question depth k=32 | low100.00 [85.13, 100.00]22
GPT-5.6-SolT11YES/NO NO-label; question depth pooled k=8,16,32 only | low100.00† [93.58, 100.00]56
GPT-5.6-LunaT11YES/NO YES-label; question depth k=4 | low88.24 [65.66, 96.71]17
GPT-5.6-LunaT11YES/NO YES-label; question depth k=8 | low7.14 [1.27, 31.47]14
GPT-5.6-LunaT11YES/NO YES-label; question depth k=16 | low0.00 [0.00, 16.11]20
GPT-5.6-LunaT11YES/NO YES-label; question depth k=32 | low0.00 [0.00, 15.46]21
GPT-5.6-LunaT11YES/NO YES-label; question depth pooled k=4,8,16,32 | low22.22 [14.17, 33.09]72
GPT-5.6-LunaT11YES/NO NO-label; question depth k=4 | low100.00 [81.57, 100.00]17
GPT-5.6-LunaT11YES/NO NO-label; question depth k=8 | low92.86 [68.53, 98.73]14
GPT-5.6-LunaT11YES/NO NO-label; question depth k=16 | low100.00 [83.89, 100.00]20
GPT-5.6-LunaT11YES/NO NO-label; question depth k=32 | low100.00 [85.13, 100.00]22
GPT-5.6-LunaT11YES/NO NO-label; question depth pooled k=4,8,16,32 | low98.63 [92.64, 99.76]73
Gemini-3.1-ProT11YES/NO YES-label; question depth k=4 | low100.00 [81.57, 100.00]17
Gemini-3.1-ProT11YES/NO YES-label; question depth k=8 | low78.57 [52.41, 92.43]14
Gemini-3.1-ProT11YES/NO YES-label; question depth k=16 | low35.00 [18.12, 56.71]20
Gemini-3.1-ProT11YES/NO YES-label; question depth k=32 | low33.33 [17.19, 54.63]21
Gemini-3.1-ProT11YES/NO YES-label; question depth pooled k=4,8,16,32 | low58.33 [46.81, 69.01]72
Gemini-3.1-ProT11YES/NO NO-label; question depth k=4 | low100.00 [81.57, 100.00]17
Gemini-3.1-ProT11YES/NO NO-label; question depth k=8 | low100.00 [78.47, 100.00]14
Gemini-3.1-ProT11YES/NO NO-label; question depth k=16 | low100.00 [83.89, 100.00]20
Gemini-3.1-ProT11YES/NO NO-label; question depth k=32 | low100.00 [85.13, 100.00]22
Gemini-3.1-ProT11YES/NO NO-label; question depth pooled k=4,8,16,32 | low100.00 [95.00, 100.00]73
Gemini-3.8-FlashT11YES/NO YES-label; question depth k=4 | low100.00 [81.57, 100.00]17
Gemini-3.8-FlashT11YES/NO YES-label; question depth k=8 | low100.00 [78.47, 100.00]14
Gemini-3.8-FlashT11YES/NO YES-label; question depth k=16 | low90.00 [69.90, 97.21]20
Gemini-3.8-FlashT11YES/NO YES-label; question depth k=32 | low100.00 [84.54, 100.00]21
Gemini-3.8-FlashT11YES/NO YES-label; question depth pooled k=4,8,16,32 | low97.22 [90.43, 99.23]72
Gemini-3.8-FlashT11YES/NO NO-label; question depth k=4 | low94.12 [73.02, 98.95]17
Gemini-3.8-FlashT11YES/NO NO-label; question depth k=8 | low100.00 [78.47, 100.00]14
Gemini-3.8-FlashT11YES/NO NO-label; question depth k=16 | low80.00 [58.40, 91.93]20
Gemini-3.8-FlashT11YES/NO NO-label; question depth k=32 | low36.36 [19.73, 57.05]22
Gemini-3.8-FlashT11YES/NO NO-label; question depth pooled k=4,8,16,32 | low73.97 [62.89, 82.66]73
Gemini-3.6-FlashT11YES/NO YES-label; question depth k=4 | low100.00 [81.57, 100.00]17
Gemini-3.6-FlashT11YES/NO YES-label; question depth k=8 | low64.29 [38.76, 83.66]14
Gemini-3.6-FlashT11YES/NO YES-label; question depth k=16 | low35.00 [18.12, 56.71]20
Gemini-3.6-FlashT11YES/NO YES-label; question depth k=32 | low19.05 [7.67, 40.00]21
Gemini-3.6-FlashT11YES/NO YES-label; question depth pooled k=4,8,16,32 | low51.39 [40.07, 62.57]72
Gemini-3.6-FlashT11YES/NO NO-label; question depth k=4 | low100.00 [81.57, 100.00]17
Gemini-3.6-FlashT11YES/NO NO-label; question depth k=8 | low100.00 [78.47, 100.00]14
Gemini-3.6-FlashT11YES/NO NO-label; question depth k=16 | low100.00 [83.89, 100.00]20
Gemini-3.6-FlashT11YES/NO NO-label; question depth k=32 | low95.45 [78.20, 99.19]22
Gemini-3.6-FlashT11YES/NO NO-label; question depth pooled k=4,8,16,32 | low98.63 [92.64, 99.76]73
Qwen3.5-397B-A17BT11YES/NO YES-label; question depth k=4 | low88.24 [65.66, 96.71]17
Qwen3.5-397B-A17BT11YES/NO YES-label; question depth k=8 | low42.86 [21.38, 67.41]14
Qwen3.5-397B-A17BT11YES/NO YES-label; question depth k=16 | low0.00 [0.00, 16.11]20
Qwen3.5-397B-A17BT11YES/NO YES-label; question depth k=32 | low0.00 [0.00, 15.46]21
Qwen3.5-397B-A17BT11YES/NO YES-label; question depth pooled k=4,8,16,32 | low29.17 [19.94, 40.51]72
Qwen3.5-397B-A17BT11YES/NO NO-label; question depth k=4 | low100.00 [81.57, 100.00]17
Qwen3.5-397B-A17BT11YES/NO NO-label; question depth k=8 | low100.00 [78.47, 100.00]14
Qwen3.5-397B-A17BT11YES/NO NO-label; question depth k=16 | low100.00 [83.89, 100.00]20
Qwen3.5-397B-A17BT11YES/NO NO-label; question depth k=32 | low100.00 [85.13, 100.00]22
Qwen3.5-397B-A17BT11YES/NO NO-label; question depth pooled k=4,8,16,32 | low100.00 [95.00, 100.00]73
Qwen3.5-122B-A10BT11YES/NO YES-label; question depth k=4 | low88.24 [65.66, 96.71]17
Qwen3.5-122B-A10BT11YES/NO YES-label; question depth k=8 | low21.43 [7.57, 47.59]14
Qwen3.5-122B-A10BT11YES/NO YES-label; question depth k=16 | low0.00 [0.00, 16.11]20
Qwen3.5-122B-A10BT11YES/NO YES-label; question depth k=32 | low0.00 [0.00, 15.46]21
Qwen3.5-122B-A10BT11YES/NO YES-label; question depth pooled k=4,8,16,32 | low25.00 [16.44, 36.09]72
Qwen3.5-122B-A10BT11YES/NO NO-label; question depth k=4 | low100.00 [81.57, 100.00]17
Qwen3.5-122B-A10BT11YES/NO NO-label; question depth k=8 | low100.00 [78.47, 100.00]14
Qwen3.5-122B-A10BT11YES/NO NO-label; question depth k=16 | low100.00 [83.89, 100.00]20
Qwen3.5-122B-A10BT11YES/NO NO-label; question depth k=32 | low100.00 [85.13, 100.00]22
Qwen3.5-122B-A10BT11YES/NO NO-label; question depth pooled k=4,8,16,32 | low100.00 [95.00, 100.00]73
Qwen3.5-35B-A3BT11YES/NO YES-label; question depth k=4 | low76.47 [52.74, 90.45]17
Qwen3.5-35B-A3BT11YES/NO YES-label; question depth k=8 | low14.29 [4.01, 39.94]14
Qwen3.5-35B-A3BT11YES/NO YES-label; question depth k=16 | low0.00 [0.00, 16.11]20
Qwen3.5-35B-A3BT11YES/NO YES-label; question depth k=32 | low9.52 [2.65, 28.91]21
Qwen3.5-35B-A3BT11YES/NO YES-label; question depth pooled k=4,8,16,32 | low23.61 [15.30, 34.60]72
Qwen3.5-35B-A3BT11YES/NO NO-label; question depth k=4 | low100.00 [81.57, 100.00]17
Qwen3.5-35B-A3BT11YES/NO NO-label; question depth k=8 | low100.00 [78.47, 100.00]14
Qwen3.5-35B-A3BT11YES/NO NO-label; question depth k=16 | low100.00 [83.89, 100.00]20
Qwen3.5-35B-A3BT11YES/NO NO-label; question depth k=32 | low100.00 [85.13, 100.00]22
Qwen3.5-35B-A3BT11YES/NO NO-label; question depth pooled k=4,8,16,32 | low100.00 [95.00, 100.00]73

Default temperature 1.0; reasoning effort low unless stated. Context target 200k unless varied; other variables sampled as paper §4.1. Qwen uses at most 40000 output tokens and provider fallback. † denotes the publisher’s reduced subset. Compare identical conditions and denominators.

GraphNIAH v1 · Table 5 · GraphNIAH v1 · Table 6 · GraphNIAH v1 · Table 7 · GraphNIAH v1 · Table 11 · GraphNIAH v1 · Table 23

Component-size experiments

Every distinct reported accuracy cell for this experiment is retained, including conditional subsets. Repeated copies of the same measurement are shown once. These rows do not replace the primary pooled question-depth metric.

Component-size experiments · paper v1 accuracy (%) with 95% Wilson intervals
ModelSource tableCondition / effortAccuracy [95% interval]Evaluated examples N
GPT-5.6-SolT24all three reachability tasks; component size 100 | low; reduced answered subset (†)77.78† [59.24, 89.39]27
GPT-5.6-SolT24all three reachability tasks; component size 150 | low; reduced answered subset (†)61.54† [42.53, 77.57]26
GPT-5.6-SolT24all three reachability tasks; component size 200 | low60.00 [50.20, 69.06]100
GPT-5.6-SolT24all three reachability tasks; component size 250 | low49.00 [39.42, 58.65]100
GPT-5.6-SolT24all three reachability tasks; component size pooled 100,150,200,250 | low; reduced answered subset (†)57.71† [51.55, 63.64]253
GPT-5.6-LunaT24all three reachability tasks; component size 100 | low44.00 [34.67, 53.77]100
GPT-5.6-LunaT24all three reachability tasks; component size 150 | low38.00 [29.10, 47.79]100
GPT-5.6-LunaT24all three reachability tasks; component size 200 | low42.00 [32.80, 51.79]100
GPT-5.6-LunaT24all three reachability tasks; component size 250 | low37.00 [28.18, 46.78]100
GPT-5.6-LunaT24all three reachability tasks; component size pooled 100,150,200,250 | low40.25 [35.56, 45.13]400
Gemini-3.1-ProT24all three reachability tasks; component size 100 | low74.00 [64.63, 81.60]100
Gemini-3.1-ProT24all three reachability tasks; component size 150 | low57.00 [47.22, 66.27]100
Gemini-3.1-ProT24all three reachability tasks; component size 200 | low55.00 [45.24, 64.39]100
Gemini-3.1-ProT24all three reachability tasks; component size 250 | low46.00 [36.56, 55.74]100
Gemini-3.1-ProT24all three reachability tasks; component size pooled 100,150,200,250 | low58.00 [53.11, 62.74]400
Gemini-3.8-FlashT24all three reachability tasks; component size 100 | low88.00 [80.19, 93.00]100
Gemini-3.8-FlashT24all three reachability tasks; component size 150 | low77.00 [67.85, 84.16]100
Gemini-3.8-FlashT24all three reachability tasks; component size 200 | low76.00 [66.77, 83.31]100
Gemini-3.8-FlashT24all three reachability tasks; component size 250 | low67.00 [57.31, 75.44]100
Gemini-3.8-FlashT24all three reachability tasks; component size pooled 100,150,200,250 | low77.00 [72.63, 80.86]400
Gemini-3.6-FlashT24all three reachability tasks; component size 100 | low69.00 [59.37, 77.22]100
Gemini-3.6-FlashT24all three reachability tasks; component size 150 | low52.00 [42.32, 61.54]100
Gemini-3.6-FlashT24all three reachability tasks; component size 200 | low54.00 [44.26, 63.44]100
Gemini-3.6-FlashT24all three reachability tasks; component size 250 | low43.00 [33.73, 52.78]100
Gemini-3.6-FlashT24all three reachability tasks; component size pooled 100,150,200,250 | low54.50 [49.60, 59.31]400
Qwen3.5-397B-A17BT24all three reachability tasks; component size 100 | low54.00 [44.26, 63.44]100
Qwen3.5-397B-A17BT24all three reachability tasks; component size 150 | low40.00 [30.94, 49.80]100
Qwen3.5-397B-A17BT24all three reachability tasks; component size 200 | low43.00 [33.73, 52.78]100
Qwen3.5-397B-A17BT24all three reachability tasks; component size 250 | low40.00 [30.94, 49.80]100
Qwen3.5-397B-A17BT24all three reachability tasks; component size pooled 100,150,200,250 | low44.25 [39.46, 49.15]400
Qwen3.5-122B-A10BT24all three reachability tasks; component size 100 | low50.00 [40.38, 59.62]100
Qwen3.5-122B-A10BT24all three reachability tasks; component size 150 | low40.00 [30.94, 49.80]100
Qwen3.5-122B-A10BT24all three reachability tasks; component size 200 | low41.00 [31.87, 50.80]100
Qwen3.5-122B-A10BT24all three reachability tasks; component size 250 | low36.00 [27.27, 45.76]100
Qwen3.5-122B-A10BT24all three reachability tasks; component size pooled 100,150,200,250 | low41.75 [37.02, 46.64]400
Qwen3.5-35B-A3BT24all three reachability tasks; component size 100 | low43.00 [33.73, 52.78]100
Qwen3.5-35B-A3BT24all three reachability tasks; component size 150 | low38.00 [29.10, 47.79]100
Qwen3.5-35B-A3BT24all three reachability tasks; component size 200 | low42.00 [32.80, 51.79]100
Qwen3.5-35B-A3BT24all three reachability tasks; component size 250 | low37.00 [28.18, 46.78]100
Qwen3.5-35B-A3BT24all three reachability tasks; component size pooled 100,150,200,250 | low40.00 [35.32, 44.87]400
GPT-5.6-SolT8YES/NO; component size 100 | low; reduced answered subset (†)75.00† [46.77, 91.11]12
GPT-5.6-SolT8YES/NO; component size 150 | low; reduced answered subset (†)57.14† [25.05, 84.18]7
GPT-5.6-SolT8YES/NO; component size 200 | low76.19 [61.47, 86.52]42
GPT-5.6-SolT8YES/NO; component size 250 | low71.43 [52.94, 84.75]28
GPT-5.6-SolT8YES/NO; component size pooled 100,150,200,250 | low; reduced answered subset (†)73.03† [63.00, 81.16]89
GPT-5.6-LunaT8YES/NO; component size 100 | low65.79 [49.89, 78.79]38
GPT-5.6-LunaT8YES/NO; component size 150 | low57.14 [39.07, 73.49]28
GPT-5.6-LunaT8YES/NO; component size 200 | low59.52 [44.49, 72.96]42
GPT-5.6-LunaT8YES/NO; component size 250 | low53.57 [35.81, 70.47]28
GPT-5.6-LunaT8YES/NO; component size pooled 100,150,200,250 | low59.56 [51.16, 67.43]136
Gemini-3.1-ProT8YES/NO; component size 100 | low86.84 [72.67, 94.25]38
Gemini-3.1-ProT8YES/NO; component size 150 | low82.14 [64.41, 92.12]28
Gemini-3.1-ProT8YES/NO; component size 200 | low78.57 [64.06, 88.29]42
Gemini-3.1-ProT8YES/NO; component size 250 | low64.29 [45.83, 79.29]28
Gemini-3.1-ProT8YES/NO; component size pooled 100,150,200,250 | low78.68 [71.05, 84.72]136
Gemini-3.8-FlashT8YES/NO; component size 100 | low86.84 [72.67, 94.25]38
Gemini-3.8-FlashT8YES/NO; component size 150 | low85.71 [68.51, 94.30]28
Gemini-3.8-FlashT8YES/NO; component size 200 | low78.57 [64.06, 88.29]42
Gemini-3.8-FlashT8YES/NO; component size 250 | low89.29 [72.80, 96.29]28
Gemini-3.8-FlashT8YES/NO; component size pooled 100,150,200,250 | low84.56 [77.55, 89.67]136
Gemini-3.6-FlashT8YES/NO; component size 100 | low71.05 [55.24, 83.00]38
Gemini-3.6-FlashT8YES/NO; component size 150 | low71.43 [52.94, 84.75]28
Gemini-3.6-FlashT8YES/NO; component size 200 | low76.19 [61.47, 86.52]42
Gemini-3.6-FlashT8YES/NO; component size 250 | low64.29 [45.83, 79.29]28
Gemini-3.6-FlashT8YES/NO; component size pooled 100,150,200,250 | low71.32 [63.22, 78.26]136
Qwen3.5-397B-A17BT8YES/NO; component size 100 | low73.68 [57.99, 85.03]38
Qwen3.5-397B-A17BT8YES/NO; component size 150 | low57.14 [39.07, 73.49]28
Qwen3.5-397B-A17BT8YES/NO; component size 200 | low61.90 [46.81, 75.00]42
Qwen3.5-397B-A17BT8YES/NO; component size 250 | low57.14 [39.07, 73.49]28
Qwen3.5-397B-A17BT8YES/NO; component size pooled 100,150,200,250 | low63.24 [54.87, 70.87]136
Qwen3.5-122B-A10BT8YES/NO; component size 100 | low65.79 [49.89, 78.79]38
Qwen3.5-122B-A10BT8YES/NO; component size 150 | low57.14 [39.07, 73.49]28
Qwen3.5-122B-A10BT8YES/NO; component size 200 | low57.14 [42.21, 70.88]42
Qwen3.5-122B-A10BT8YES/NO; component size 250 | low53.57 [35.81, 70.47]28
Qwen3.5-122B-A10BT8YES/NO; component size pooled 100,150,200,250 | low58.82 [50.42, 66.74]136
Qwen3.5-35B-A3BT8YES/NO; component size 100 | low60.53 [44.72, 74.40]38
Qwen3.5-35B-A3BT8YES/NO; component size 150 | low57.14 [39.07, 73.49]28
Qwen3.5-35B-A3BT8YES/NO; component size 200 | low57.14 [42.21, 70.88]42
Qwen3.5-35B-A3BT8YES/NO; component size 250 | low53.57 [35.81, 70.47]28
Qwen3.5-35B-A3BT8YES/NO; component size pooled 100,150,200,250 | low57.35 [48.95, 65.35]136
GPT-5.6-SolT9multiple-choice; component size 100 | low; reduced answered subset (†)87.50† [52.91, 97.76]8
GPT-5.6-SolT9multiple-choice; component size 150 | low; reduced answered subset (†)90.91† [62.26, 98.38]11
GPT-5.6-SolT9multiple-choice; component size 200 | low78.57 [60.46, 89.79]28
GPT-5.6-SolT9multiple-choice; component size 250 | low84.38 [68.25, 93.14]32
GPT-5.6-SolT9multiple-choice; component size pooled 100,150,200,250 | low; reduced answered subset (†)83.54† [73.85, 90.12]79
GPT-5.6-LunaT9multiple-choice; component size 100 | low57.58 [40.81, 72.76]33
GPT-5.6-LunaT9multiple-choice; component size 150 | low64.71 [47.91, 78.51]34
GPT-5.6-LunaT9multiple-choice; component size 200 | low60.71 [42.41, 76.43]28
GPT-5.6-LunaT9multiple-choice; component size 250 | low68.75 [51.43, 82.05]32
GPT-5.6-LunaT9multiple-choice; component size pooled 100,150,200,250 | low62.99 [54.33, 70.89]127
Gemini-3.1-ProT9multiple-choice; component size 100 | low96.97 [84.68, 99.46]33
Gemini-3.1-ProT9multiple-choice; component size 150 | low91.18 [77.04, 96.95]34
Gemini-3.1-ProT9multiple-choice; component size 200 | low78.57 [60.46, 89.79]28
Gemini-3.1-ProT9multiple-choice; component size 250 | low84.38 [68.25, 93.14]32
Gemini-3.1-ProT9multiple-choice; component size pooled 100,150,200,250 | low88.19 [81.43, 92.71]127
Gemini-3.8-FlashT9multiple-choice; component size 100 | low96.97 [84.68, 99.46]33
Gemini-3.8-FlashT9multiple-choice; component size 150 | low94.12 [80.91, 98.37]34
Gemini-3.8-FlashT9multiple-choice; component size 200 | low100.00 [87.94, 100.00]28
Gemini-3.8-FlashT9multiple-choice; component size 250 | low100.00 [89.28, 100.00]32
Gemini-3.8-FlashT9multiple-choice; component size pooled 100,150,200,250 | low97.64 [93.28, 99.19]127
Gemini-3.6-FlashT9multiple-choice; component size 100 | low81.82 [65.61, 91.39]33
Gemini-3.6-FlashT9multiple-choice; component size 150 | low76.47 [60.00, 87.56]34
Gemini-3.6-FlashT9multiple-choice; component size 200 | low60.71 [42.41, 76.43]28
Gemini-3.6-FlashT9multiple-choice; component size 250 | low78.12 [61.24, 88.98]32
Gemini-3.6-FlashT9multiple-choice; component size pooled 100,150,200,250 | low74.80 [66.60, 81.55]127
Qwen3.5-397B-A17BT9multiple-choice; component size 100 | low78.79 [62.25, 89.32]33
Qwen3.5-397B-A17BT9multiple-choice; component size 150 | low70.59 [53.83, 83.17]34
Qwen3.5-397B-A17BT9multiple-choice; component size 200 | low60.71 [42.41, 76.43]28
Qwen3.5-397B-A17BT9multiple-choice; component size 250 | low75.00 [57.89, 86.75]32
Qwen3.5-397B-A17BT9multiple-choice; component size pooled 100,150,200,250 | low71.65 [63.27, 78.77]127
Qwen3.5-122B-A10BT9multiple-choice; component size 100 | low75.76 [58.98, 87.17]33
Qwen3.5-122B-A10BT9multiple-choice; component size 150 | low70.59 [53.83, 83.17]34
Qwen3.5-122B-A10BT9multiple-choice; component size 200 | low60.71 [42.41, 76.43]28
Qwen3.5-122B-A10BT9multiple-choice; component size 250 | low65.62 [48.31, 79.59]32
Qwen3.5-122B-A10BT9multiple-choice; component size pooled 100,150,200,250 | low68.50 [59.98, 75.94]127
Qwen3.5-35B-A3BT9multiple-choice; component size 100 | low60.61 [43.68, 75.32]33
Qwen3.5-35B-A3BT9multiple-choice; component size 150 | low64.71 [47.91, 78.51]34
Qwen3.5-35B-A3BT9multiple-choice; component size 200 | low64.29 [45.83, 79.29]28
Qwen3.5-35B-A3BT9multiple-choice; component size 250 | low68.75 [51.43, 82.05]32
Qwen3.5-35B-A3BT9multiple-choice; component size pooled 100,150,200,250 | low64.57 [55.93, 72.35]127
GPT-5.6-SolT10counting; component size 100 | low; reduced answered subset (†)71.43† [35.89, 91.78]7
GPT-5.6-SolT10counting; component size 150 | low; reduced answered subset (†)25.00† [7.15, 59.07]8
GPT-5.6-SolT10counting; component size 200 | low20.00 [9.50, 37.31]30
GPT-5.6-SolT10counting; component size 250 | low5.00 [1.38, 16.50]40
GPT-5.6-SolT10counting; component size pooled 100,150,200,250 | low; reduced answered subset (†)17.65† [11.00, 27.10]85
GPT-5.6-LunaT10counting; component size 100 | low0.00 [0.00, 11.70]29
GPT-5.6-LunaT10counting; component size 150 | low0.00 [0.00, 9.18]38
GPT-5.6-LunaT10counting; component size 200 | low0.00 [0.00, 11.35]30
GPT-5.6-LunaT10counting; component size 250 | low0.00 [0.00, 8.76]40
GPT-5.6-LunaT10counting; component size pooled 100,150,200,250 | low0.00 [0.00, 2.73]137
Gemini-3.1-ProT10counting; component size 100 | low31.03 [17.28, 49.23]29
Gemini-3.1-ProT10counting; component size 150 | low7.89 [2.72, 20.80]38
Gemini-3.1-ProT10counting; component size 200 | low0.00 [0.00, 11.35]30
Gemini-3.1-ProT10counting; component size 250 | low2.50 [0.44, 12.88]40
Gemini-3.1-ProT10counting; component size pooled 100,150,200,250 | low9.49 [5.63, 15.56]137
Gemini-3.8-FlashT10counting; component size 100 | low79.31 [61.61, 90.15]29
Gemini-3.8-FlashT10counting; component size 150 | low55.26 [39.71, 69.85]38
Gemini-3.8-FlashT10counting; component size 200 | low50.00 [33.15, 66.85]30
Gemini-3.8-FlashT10counting; component size 250 | low25.00 [14.19, 40.19]40
Gemini-3.8-FlashT10counting; component size pooled 100,150,200,250 | low50.36 [42.10, 58.61]137
Gemini-3.6-FlashT10counting; component size 100 | low51.72 [34.43, 68.61]29
Gemini-3.6-FlashT10counting; component size 150 | low15.79 [7.44, 30.42]38
Gemini-3.6-FlashT10counting; component size 200 | low16.67 [7.34, 33.56]30
Gemini-3.6-FlashT10counting; component size 250 | low0.00 [0.00, 8.76]40
Gemini-3.6-FlashT10counting; component size pooled 100,150,200,250 | low18.98 [13.29, 26.36]137
Qwen3.5-397B-A17BT10counting; component size 100 | low0.00 [0.00, 11.70]29
Qwen3.5-397B-A17BT10counting; component size 150 | low0.00 [0.00, 9.18]38
Qwen3.5-397B-A17BT10counting; component size 200 | low0.00 [0.00, 11.35]30
Qwen3.5-397B-A17BT10counting; component size 250 | low0.00 [0.00, 8.76]40
Qwen3.5-397B-A17BT10counting; component size pooled 100,150,200,250 | low0.00 [0.00, 2.73]137
Qwen3.5-122B-A10BT10counting; component size 100 | low0.00 [0.00, 11.70]29
Qwen3.5-122B-A10BT10counting; component size 150 | low0.00 [0.00, 9.18]38
Qwen3.5-122B-A10BT10counting; component size 200 | low0.00 [0.00, 11.35]30
Qwen3.5-122B-A10BT10counting; component size 250 | low0.00 [0.00, 8.76]40
Qwen3.5-122B-A10BT10counting; component size pooled 100,150,200,250 | low0.00 [0.00, 2.73]137
Qwen3.5-35B-A3BT10counting; component size 100 | low0.00 [0.00, 11.70]29
Qwen3.5-35B-A3BT10counting; component size 150 | low0.00 [0.00, 9.18]38
Qwen3.5-35B-A3BT10counting; component size 200 | low0.00 [0.00, 11.35]30
Qwen3.5-35B-A3BT10counting; component size 250 | low0.00 [0.00, 8.76]40
Qwen3.5-35B-A3BT10counting; component size pooled 100,150,200,250 | low0.00 [0.00, 2.73]137
GPT-5.6-SolT12YES/NO YES-label; component size 100 | low; reduced answered subset (†)50.00† [18.76, 81.24]6
GPT-5.6-SolT12YES/NO YES-label; component size 150 | low; reduced answered subset (†)25.00† [4.56, 69.94]4
GPT-5.6-SolT12YES/NO YES-label; component size 200 | low52.38 [32.37, 71.66]21
GPT-5.6-SolT12YES/NO YES-label; component size 250 | low42.86 [21.38, 67.41]14
GPT-5.6-SolT12YES/NO YES-label; component size pooled 100,150,200,250 | low; reduced answered subset (†)46.67† [32.93, 60.92]45
GPT-5.6-SolT12YES/NO NO-label; component size 100 | low; reduced answered subset (†)100.00† [60.97, 100.00]6
GPT-5.6-SolT12YES/NO NO-label; component size 150 | low; reduced answered subset (†)100.00† [43.85, 100.00]3
GPT-5.6-SolT12YES/NO NO-label; component size 200 | low100.00 [84.54, 100.00]21
GPT-5.6-SolT12YES/NO NO-label; component size 250 | low100.00 [78.47, 100.00]14
GPT-5.6-SolT12YES/NO NO-label; component size pooled 100,150,200,250 | low; reduced answered subset (†)100.00† [91.97, 100.00]44
GPT-5.6-LunaT12YES/NO YES-label; component size 100 | low31.58 [15.36, 53.99]19
GPT-5.6-LunaT12YES/NO YES-label; component size 150 | low14.29 [4.01, 39.94]14
GPT-5.6-LunaT12YES/NO YES-label; component size 200 | low19.05 [7.67, 40.00]21
GPT-5.6-LunaT12YES/NO YES-label; component size 250 | low7.14 [1.27, 31.47]14
GPT-5.6-LunaT12YES/NO YES-label; component size pooled 100,150,200,250 | low19.12 [11.53, 30.01]68
GPT-5.6-LunaT12YES/NO NO-label; component size 100 | low100.00 [83.18, 100.00]19
GPT-5.6-LunaT12YES/NO NO-label; component size 150 | low100.00 [78.47, 100.00]14
GPT-5.6-LunaT12YES/NO NO-label; component size 200 | low100.00 [84.54, 100.00]21
GPT-5.6-LunaT12YES/NO NO-label; component size 250 | low100.00 [78.47, 100.00]14
GPT-5.6-LunaT12YES/NO NO-label; component size pooled 100,150,200,250 | low100.00 [94.65, 100.00]68
Gemini-3.1-ProT12YES/NO YES-label; component size 100 | low73.68 [51.21, 88.19]19
Gemini-3.1-ProT12YES/NO YES-label; component size 150 | low64.29 [38.76, 83.66]14
Gemini-3.1-ProT12YES/NO YES-label; component size 200 | low57.14 [36.55, 75.53]21
Gemini-3.1-ProT12YES/NO YES-label; component size 250 | low28.57 [11.72, 54.65]14
Gemini-3.1-ProT12YES/NO YES-label; component size pooled 100,150,200,250 | low57.35 [45.52, 68.40]68
Gemini-3.1-ProT12YES/NO NO-label; component size 100 | low100.00 [83.18, 100.00]19
Gemini-3.1-ProT12YES/NO NO-label; component size 150 | low100.00 [78.47, 100.00]14
Gemini-3.1-ProT12YES/NO NO-label; component size 200 | low100.00 [84.54, 100.00]21
Gemini-3.1-ProT12YES/NO NO-label; component size 250 | low100.00 [78.47, 100.00]14
Gemini-3.1-ProT12YES/NO NO-label; component size pooled 100,150,200,250 | low100.00 [94.65, 100.00]68
Gemini-3.8-FlashT12YES/NO YES-label; component size 100 | low100.00 [83.18, 100.00]19
Gemini-3.8-FlashT12YES/NO YES-label; component size 150 | low92.86 [68.53, 98.73]14
Gemini-3.8-FlashT12YES/NO YES-label; component size 200 | low100.00 [84.54, 100.00]21
Gemini-3.8-FlashT12YES/NO YES-label; component size 250 | low100.00 [78.47, 100.00]14
Gemini-3.8-FlashT12YES/NO YES-label; component size pooled 100,150,200,250 | low98.53 [92.13, 99.74]68
Gemini-3.8-FlashT12YES/NO NO-label; component size 100 | low73.68 [51.21, 88.19]19
Gemini-3.8-FlashT12YES/NO NO-label; component size 150 | low78.57 [52.41, 92.43]14
Gemini-3.8-FlashT12YES/NO NO-label; component size 200 | low57.14 [36.55, 75.53]21
Gemini-3.8-FlashT12YES/NO NO-label; component size 250 | low78.57 [52.41, 92.43]14
Gemini-3.8-FlashT12YES/NO NO-label; component size pooled 100,150,200,250 | low70.59 [58.89, 80.08]68
Gemini-3.6-FlashT12YES/NO YES-label; component size 100 | low57.89 [36.28, 76.86]19
Gemini-3.6-FlashT12YES/NO YES-label; component size 150 | low42.86 [21.38, 67.41]14
Gemini-3.6-FlashT12YES/NO YES-label; component size 200 | low52.38 [32.37, 71.66]21
Gemini-3.6-FlashT12YES/NO YES-label; component size 250 | low28.57 [11.72, 54.65]14
Gemini-3.6-FlashT12YES/NO YES-label; component size pooled 100,150,200,250 | low47.06 [35.67, 58.76]68
Gemini-3.6-FlashT12YES/NO NO-label; component size 100 | low84.21 [62.43, 94.48]19
Gemini-3.6-FlashT12YES/NO NO-label; component size 150 | low100.00 [78.47, 100.00]14
Gemini-3.6-FlashT12YES/NO NO-label; component size 200 | low100.00 [84.54, 100.00]21
Gemini-3.6-FlashT12YES/NO NO-label; component size 250 | low100.00 [78.47, 100.00]14
Gemini-3.6-FlashT12YES/NO NO-label; component size pooled 100,150,200,250 | low95.59 [87.81, 98.49]68
Qwen3.5-397B-A17BT12YES/NO YES-label; component size 100 | low47.37 [27.33, 68.29]19
Qwen3.5-397B-A17BT12YES/NO YES-label; component size 150 | low14.29 [4.01, 39.94]14
Qwen3.5-397B-A17BT12YES/NO YES-label; component size 200 | low23.81 [10.63, 45.09]21
Qwen3.5-397B-A17BT12YES/NO YES-label; component size 250 | low14.29 [4.01, 39.94]14
Qwen3.5-397B-A17BT12YES/NO YES-label; component size pooled 100,150,200,250 | low26.47 [17.45, 38.01]68
Qwen3.5-397B-A17BT12YES/NO NO-label; component size 100 | low100.00 [83.18, 100.00]19
Qwen3.5-397B-A17BT12YES/NO NO-label; component size 150 | low100.00 [78.47, 100.00]14
Qwen3.5-397B-A17BT12YES/NO NO-label; component size 200 | low100.00 [84.54, 100.00]21
Qwen3.5-397B-A17BT12YES/NO NO-label; component size 250 | low100.00 [78.47, 100.00]14
Qwen3.5-397B-A17BT12YES/NO NO-label; component size pooled 100,150,200,250 | low100.00 [94.65, 100.00]68
Qwen3.5-122B-A10BT12YES/NO YES-label; component size 100 | low31.58 [15.36, 53.99]19
Qwen3.5-122B-A10BT12YES/NO YES-label; component size 150 | low14.29 [4.01, 39.94]14
Qwen3.5-122B-A10BT12YES/NO YES-label; component size 200 | low14.29 [4.98, 34.64]21
Qwen3.5-122B-A10BT12YES/NO YES-label; component size 250 | low7.14 [1.27, 31.47]14
Qwen3.5-122B-A10BT12YES/NO YES-label; component size pooled 100,150,200,250 | low17.65 [10.39, 28.36]68
Qwen3.5-122B-A10BT12YES/NO NO-label; component size 100 | low100.00 [83.18, 100.00]19
Qwen3.5-122B-A10BT12YES/NO NO-label; component size 150 | low100.00 [78.47, 100.00]14
Qwen3.5-122B-A10BT12YES/NO NO-label; component size 200 | low100.00 [84.54, 100.00]21
Qwen3.5-122B-A10BT12YES/NO NO-label; component size 250 | low100.00 [78.47, 100.00]14
Qwen3.5-122B-A10BT12YES/NO NO-label; component size pooled 100,150,200,250 | low100.00 [94.65, 100.00]68
Qwen3.5-35B-A3BT12YES/NO YES-label; component size 100 | low21.05 [8.51, 43.33]19
Qwen3.5-35B-A3BT12YES/NO YES-label; component size 150 | low21.43 [7.57, 47.59]14
Qwen3.5-35B-A3BT12YES/NO YES-label; component size 200 | low14.29 [4.98, 34.64]21
Qwen3.5-35B-A3BT12YES/NO YES-label; component size 250 | low7.14 [1.27, 31.47]14
Qwen3.5-35B-A3BT12YES/NO YES-label; component size pooled 100,150,200,250 | low16.18 [9.28, 26.69]68
Qwen3.5-35B-A3BT12YES/NO NO-label; component size 100 | low100.00 [83.18, 100.00]19
Qwen3.5-35B-A3BT12YES/NO NO-label; component size 150 | low92.86 [68.53, 98.73]14
Qwen3.5-35B-A3BT12YES/NO NO-label; component size 200 | low100.00 [84.54, 100.00]21
Qwen3.5-35B-A3BT12YES/NO NO-label; component size 250 | low100.00 [78.47, 100.00]14
Qwen3.5-35B-A3BT12YES/NO NO-label; component size pooled 100,150,200,250 | low98.53 [92.13, 99.74]68

Default temperature 1.0; reasoning effort low unless stated. Context target 200k unless varied; other variables sampled as paper §4.1. Qwen uses at most 40000 output tokens and provider fallback. † denotes the publisher’s reduced subset. Compare identical conditions and denominators.

GraphNIAH v1 · Table 8 · GraphNIAH v1 · Table 9 · GraphNIAH v1 · Table 10 · GraphNIAH v1 · Table 12 · GraphNIAH v1 · Table 24

Context-length experiments

Every distinct reported accuracy cell for this experiment is retained, including conditional subsets. Repeated copies of the same measurement are shown once. These rows do not replace the primary pooled question-depth metric.

Context-length experiments · paper v1 accuracy (%) with 95% Wilson intervals
ModelSource tableCondition / effortAccuracy [95% interval]Evaluated examples N
GPT-5.6-LunaT25all three reachability tasks; target context=500k tokens | low44.00 [31.16, 57.69]50
GPT-5.6-LunaT25all three reachability tasks; target context=922k tokens | low40.00 [27.61, 53.82]50
Gemini-3.8-FlashT25all three reachability tasks; target context=500k tokens | low64.00 [50.14, 75.86]50
Gemini-3.8-FlashT25all three reachability tasks; target context=922k tokens | low60.00 [46.18, 72.39]50

Default temperature 1.0; reasoning effort low unless stated. Context target 200k unless varied; other variables sampled as paper §4.1. Qwen uses at most 40000 output tokens and provider fallback. † denotes the publisher’s reduced subset. Compare identical conditions and denominators.

GraphNIAH v1 · Table 25

Task and answer-option experiments

Every distinct reported accuracy cell for this experiment is retained, including conditional subsets. Repeated copies of the same measurement are shown once. These rows do not replace the primary pooled question-depth metric.

Task and answer-option experiments · paper v1 accuracy (%) with 95% Wilson intervals
ModelSource tableCondition / effortAccuracy [95% interval]Evaluated examples N
GPT-5.6-LunaT26task=YES/NO | low66.00 [56.28, 74.54]100
GPT-5.6-LunaT26task=Multiple choice | low68.00 [58.34, 76.33]100
GPT-5.6-LunaT26task=Counting | low0.00 [0.00, 3.70]100
GPT-5.6-LunaT26all three tasks pooled | low44.67 [39.14, 50.32]300
Gemini-3.8-FlashT26task=YES/NO | low87.00 [79.02, 92.24]100
Gemini-3.8-FlashT26task=Multiple choice | low97.00 [91.55, 98.97]100
Gemini-3.8-FlashT26task=Counting | low55.00 [45.24, 64.39]100
Gemini-3.8-FlashT26all three tasks pooled | low79.67 [74.75, 83.83]300
Qwen3.5-35B-A3BT26task=YES/NO | low64.00 [54.24, 72.73]100
Qwen3.5-35B-A3BT26task=Multiple choice | low72.00 [62.51, 79.86]100
Qwen3.5-35B-A3BT26task=Counting | low0.00 [0.00, 3.70]100
Qwen3.5-35B-A3BT26all three tasks pooled | low45.33 [39.79, 50.99]300
GPT-5.6-LunaT13YES/NO; ground truth=YES-label | low32.00 [20.76, 45.81]50
GPT-5.6-LunaT13YES/NO; ground truth=NO-label | low100.00 [92.86, 100.00]50
Gemini-3.8-FlashT13YES/NO; ground truth=YES-label | low96.00 [86.54, 98.90]50
Gemini-3.8-FlashT13YES/NO; ground truth=NO-label | low78.00 [64.76, 87.25]50
Qwen3.5-35B-A3BT13YES/NO; ground truth=YES-label | low28.00 [17.47, 41.67]50
Qwen3.5-35B-A3BT13YES/NO; ground truth=NO-label | low100.00 [92.86, 100.00]50
GPT-5.6-LunaT16counting; component-size bin=100–149 | low0.00 [0.00, 10.43]33
GPT-5.6-LunaT16counting; component-size bin=150–199 | low0.00 [0.00, 10.72]32
GPT-5.6-LunaT16counting; component-size bin=200–250 | low0.00 [0.00, 9.89]35
Gemini-3.8-FlashT16counting; component-size bin=100–149 | low78.79 [62.25, 89.32]33
Gemini-3.8-FlashT16counting; component-size bin=150–199 | low59.38 [42.26, 74.48]32
Gemini-3.8-FlashT16counting; component-size bin=200–250 | low28.57 [16.33, 45.06]35
Qwen3.5-35B-A3BT16counting; component-size bin=100–149 | low0.00 [0.00, 10.43]33
Qwen3.5-35B-A3BT16counting; component-size bin=150–199 | low0.00 [0.00, 10.72]32
Qwen3.5-35B-A3BT16counting; component-size bin=200–250 | low0.00 [0.00, 9.89]35
GPT-5.6-LunaT17multiple-choice; appended fifth None-of-the-above option (never correct); matched before/after examples | low14.00 [8.53, 22.14]100
Gemini-3.8-FlashT17multiple-choice; appended fifth None-of-the-above option (never correct); matched before/after examples | low97.00 [91.55, 98.97]100
Qwen3.5-35B-A3BT17multiple-choice; appended fifth None-of-the-above option (never correct); matched before/after examples | low15.00 [9.31, 23.28]100

Default temperature 1.0; reasoning effort low unless stated. Context target 200k unless varied; other variables sampled as paper §4.1. Qwen uses at most 40000 output tokens and provider fallback. † denotes the publisher’s reduced subset. Compare identical conditions and denominators.

GraphNIAH v1 · Table 13 · GraphNIAH v1 · Table 16 · GraphNIAH v1 · Table 17 · GraphNIAH v1 · Table 26

Distractor experiments

Every distinct reported accuracy cell for this experiment is retained, including conditional subsets. Repeated copies of the same measurement are shown once. These rows do not replace the primary pooled question-depth metric.

Distractor experiments · paper v1 accuracy (%) with 95% Wilson intervals
ModelSource tableCondition / effortAccuracy [95% interval]Evaluated examples N
GPT-5.6-LunaT27all three tasks; distractor=books | low41.00 [31.87, 50.80]100
GPT-5.6-LunaT27all three tasks; distractor=code | low41.00 [31.87, 50.80]100
GPT-5.6-LunaT27all three tasks; distractor=disjoint-component | low41.00 [31.87, 50.80]100
GPT-5.6-LunaT27all three tasks; distractor=essays | low46.00 [36.56, 55.74]100
GPT-5.6-LunaT27all three tasks; distractor=wikipedia | low50.00 [40.38, 59.62]100
GPT-5.6-LunaT27all three tasks; distractor=all five pooled | low43.80 [39.51, 48.18]500
Gemini-3.8-FlashT27all three tasks; distractor=books | low83.00 [74.45, 89.11]100
Gemini-3.8-FlashT27all three tasks; distractor=code | low72.00 [62.51, 79.86]100
Gemini-3.8-FlashT27all three tasks; distractor=disjoint-component | low77.00 [67.85, 84.16]100
Gemini-3.8-FlashT27all three tasks; distractor=essays | low88.00 [80.19, 93.00]100
Gemini-3.8-FlashT27all three tasks; distractor=wikipedia | low73.00 [63.57, 80.73]100
Gemini-3.8-FlashT27all three tasks; distractor=all five pooled | low78.60 [74.79, 81.97]500
Qwen3.5-35B-A3BT27all three tasks; distractor=books | low38.00 [29.10, 47.79]100
Qwen3.5-35B-A3BT27all three tasks; distractor=code | low42.00 [32.80, 51.79]100
Qwen3.5-35B-A3BT27all three tasks; distractor=disjoint-component | low40.00 [30.94, 49.80]100
Qwen3.5-35B-A3BT27all three tasks; distractor=essays | low42.00 [32.80, 51.79]100
Qwen3.5-35B-A3BT27all three tasks; distractor=wikipedia | low46.00 [36.56, 55.74]100
Qwen3.5-35B-A3BT27all three tasks; distractor=all five pooled | low41.60 [37.36, 45.97]500
GPT-5.6-LunaT19YES/NO; distractor=books | low56.41 [40.98, 70.70]39
GPT-5.6-LunaT19YES/NO; distractor=code | low65.62 [48.31, 79.59]32
GPT-5.6-LunaT19YES/NO; distractor=disjoint-component | low59.38 [42.26, 74.48]32
GPT-5.6-LunaT19YES/NO; distractor=essays | low67.74 [50.14, 81.43]31
GPT-5.6-LunaT19YES/NO; distractor=wikipedia | low56.52 [36.81, 74.37]23
GPT-5.6-LunaT19YES/NO; distractor=all five pooled | low61.15 [53.34, 68.42]157
GPT-5.6-LunaT19Multiple choice; distractor=books | low63.33 [45.51, 78.13]30
GPT-5.6-LunaT19Multiple choice; distractor=code | low71.43 [52.94, 84.75]28
GPT-5.6-LunaT19Multiple choice; distractor=disjoint-component | low78.57 [60.46, 89.79]28
GPT-5.6-LunaT19Multiple choice; distractor=essays | low69.44 [53.14, 82.00]36
GPT-5.6-LunaT19Multiple choice; distractor=wikipedia | low84.09 [70.63, 92.07]44
GPT-5.6-LunaT19Multiple choice; distractor=all five pooled | low74.10 [66.94, 80.16]166
GPT-5.6-LunaT19Counting; distractor=books | low0.00 [0.00, 11.03]31
GPT-5.6-LunaT19Counting; distractor=code | low0.00 [0.00, 8.76]40
GPT-5.6-LunaT19Counting; distractor=disjoint-component | low0.00 [0.00, 8.76]40
GPT-5.6-LunaT19Counting; distractor=essays | low0.00 [0.00, 10.43]33
GPT-5.6-LunaT19Counting; distractor=wikipedia | low0.00 [0.00, 10.43]33
GPT-5.6-LunaT19Counting; distractor=all five pooled | low0.00 [0.00, 2.12]177
Gemini-3.8-FlashT19YES/NO; distractor=books | low89.74 [76.42, 95.94]39
Gemini-3.8-FlashT19YES/NO; distractor=code | low90.62 [75.78, 96.76]32
Gemini-3.8-FlashT19YES/NO; distractor=disjoint-component | low90.62 [75.78, 96.76]32
Gemini-3.8-FlashT19YES/NO; distractor=essays | low96.77 [83.81, 99.43]31
Gemini-3.8-FlashT19YES/NO; distractor=wikipedia | low69.57 [49.13, 84.40]23
Gemini-3.8-FlashT19YES/NO; distractor=all five pooled | low88.54 [82.61, 92.62]157
Gemini-3.8-FlashT19Multiple choice; distractor=books | low96.67 [83.33, 99.41]30
Gemini-3.8-FlashT19Multiple choice; distractor=code | low96.43 [82.29, 99.37]28
Gemini-3.8-FlashT19Multiple choice; distractor=disjoint-component | low96.43 [82.29, 99.37]28
Gemini-3.8-FlashT19Multiple choice; distractor=essays | low100.00 [90.36, 100.00]36
Gemini-3.8-FlashT19Multiple choice; distractor=wikipedia | low97.73 [88.19, 99.60]44
Gemini-3.8-FlashT19Multiple choice; distractor=all five pooled | low97.59 [93.97, 99.06]166
Gemini-3.8-FlashT19Counting; distractor=books | low61.29 [43.82, 76.27]31
Gemini-3.8-FlashT19Counting; distractor=code | low40.00 [26.35, 55.40]40
Gemini-3.8-FlashT19Counting; distractor=disjoint-component | low52.50 [37.50, 67.06]40
Gemini-3.8-FlashT19Counting; distractor=essays | low66.67 [49.61, 80.25]33
Gemini-3.8-FlashT19Counting; distractor=wikipedia | low42.42 [27.24, 59.19]33
Gemini-3.8-FlashT19Counting; distractor=all five pooled | low51.98 [44.65, 59.22]177
Qwen3.5-35B-A3BT19YES/NO; distractor=books | low56.41 [40.98, 70.70]39
Qwen3.5-35B-A3BT19YES/NO; distractor=code | low71.88 [54.63, 84.44]32
Qwen3.5-35B-A3BT19YES/NO; distractor=disjoint-component | low59.38 [42.26, 74.48]32
Qwen3.5-35B-A3BT19YES/NO; distractor=essays | low67.74 [50.14, 81.43]31
Qwen3.5-35B-A3BT19YES/NO; distractor=wikipedia | low56.52 [36.81, 74.37]23
Qwen3.5-35B-A3BT19YES/NO; distractor=all five pooled | low62.42 [54.63, 69.61]157
Qwen3.5-35B-A3BT19Multiple choice; distractor=books | low53.33 [36.14, 69.77]30
Qwen3.5-35B-A3BT19Multiple choice; distractor=code | low67.86 [49.34, 82.07]28
Qwen3.5-35B-A3BT19Multiple choice; distractor=disjoint-component | low75.00 [56.64, 87.32]28
Qwen3.5-35B-A3BT19Multiple choice; distractor=essays | low58.33 [42.20, 72.86]36
Qwen3.5-35B-A3BT19Multiple choice; distractor=wikipedia | low75.00 [60.56, 85.43]44
Qwen3.5-35B-A3BT19Multiple choice; distractor=all five pooled | low66.27 [58.78, 73.02]166
Qwen3.5-35B-A3BT19Counting; distractor=books | low0.00 [0.00, 11.03]31
Qwen3.5-35B-A3BT19Counting; distractor=code | low0.00 [0.00, 8.76]40
Qwen3.5-35B-A3BT19Counting; distractor=disjoint-component | low0.00 [0.00, 8.76]40
Qwen3.5-35B-A3BT19Counting; distractor=essays | low0.00 [0.00, 10.43]33
Qwen3.5-35B-A3BT19Counting; distractor=wikipedia | low0.00 [0.00, 10.43]33
Qwen3.5-35B-A3BT19Counting; distractor=all five pooled | low0.00 [0.00, 2.12]177

Default temperature 1.0; reasoning effort low unless stated. Context target 200k unless varied; other variables sampled as paper §4.1. Qwen uses at most 40000 output tokens and provider fallback. † denotes the publisher’s reduced subset. Compare identical conditions and denominators.

GraphNIAH v1 · Table 19 · GraphNIAH v1 · Table 27

Reasoning-effort experiments

Every distinct reported accuracy cell for this experiment is retained, including conditional subsets. Repeated copies of the same measurement are shown once. These rows do not replace the primary pooled question-depth metric.

Reasoning-effort experiments · paper v1 accuracy (%) with 95% Wilson intervals
ModelSource tableCondition / effortAccuracy [95% interval]Evaluated examples N
GPT-5.6-LunaT28same 100 examples across efforts; all three reachability tasks | low38.00 [29.10, 47.79]100
GPT-5.6-LunaT28same 100 examples across efforts; all three reachability tasks | medium39.00 [30.02, 48.80]100
GPT-5.6-LunaT28same 100 examples across efforts; all three reachability tasks | high48.00 [38.46, 57.68]100
Gemini-3.8-FlashT28same 100 examples across efforts; all three reachability tasks | low71.00 [61.46, 78.99]100
Gemini-3.8-FlashT28same 100 examples across efforts; all three reachability tasks | medium75.00 [65.70, 82.45]100
Gemini-3.8-FlashT28same 100 examples across efforts; all three reachability tasks | high66.00 [56.28, 74.54]100
Qwen3.5-35B-A3BT28same 100 examples across efforts; all three reachability tasks | low40.00 [30.94, 49.80]100
Qwen3.5-35B-A3BT28same 100 examples across efforts; all three reachability tasks | medium39.00 [30.02, 48.80]100
Qwen3.5-35B-A3BT28same 100 examples across efforts; all three reachability tasks | high40.00 [30.94, 49.80]100

Default temperature 1.0; reasoning effort low unless stated. Context target 200k unless varied; other variables sampled as paper §4.1. Qwen uses at most 40000 output tokens and provider fallback. † denotes the publisher’s reduced subset. Compare identical conditions and denominators.

GraphNIAH v1 · Table 28

Original publication

Original versioned paper and author artifacts; publisher-run measurements stay attached to their experimental conditions.

Reviewed 2026-11-02

Evidence available for this benchmark

This source record contains 8 numeric observations. The source distinguishes 8 model identities or configurations. A model may appear more than once; check the version, tools and run budget before comparing. Read results and row-level evidence →

Reported metric
Pooled question-depth accuracy (Table 23)
Recorded unit
percent
Metric direction
higher is better

Start with these resources

Cited documents and dates (1)

Evaluation context and evidence

Source
Model reports
Publisher
Not recorded
Benchmark release
2026-10-30
Collected
Not recorded
Modality
Not recorded

These are source-reported observations, not independent reruns by this site. Check the task version, evaluation protocol, unit and reporting date before comparing models. Results from different setups are not a universal ranking.

Reported results 8

Shown in source observation order, not ranked. Dates retain the precision provided by the source.

ModelValueUnitProtocolReported date and basisSource
Gemini-3.1-Pro60.5percentPaper v1; reasoning_effort=low; temperature=1.0; answer extracted from final \answer{} block and exact-matched to graph ground truth; LiteLLM/Gemini; top_p=0.95; no explicit output-token limit; paper reports flex requests with standard-tier capacity fallback; question-depth experiment; all three reachability tasks; question depth pooled k=4,8,16,32; N=400; target context 200000 tokens; other experimental variables sampled independently/uniformly as paper §4.1; concentration alpha=0.1; source Table 232026-10-30 · document_publicationGraphNIAH paper v1 · Table23 pooled question-depth accuracy
Gemini-3.6-Flash54.75percentPaper v1; reasoning_effort=low; temperature=1.0; answer extracted from final \answer{} block and exact-matched to graph ground truth; LiteLLM/Gemini; top_p=0.95; no explicit output-token limit; paper reports flex requests with standard-tier capacity fallback; question-depth experiment; all three reachability tasks; question depth pooled k=4,8,16,32; N=400; target context 200000 tokens; other experimental variables sampled independently/uniformly as paper §4.1; concentration alpha=0.1; source Table 232026-10-30 · document_publicationGraphNIAH paper v1 · Table23 pooled question-depth accuracy
Gemini-3.8-Flash79.0percentPaper v1; reasoning_effort=low; temperature=1.0; answer extracted from final \answer{} block and exact-matched to graph ground truth; LiteLLM/Gemini; top_p=0.95; no explicit output-token limit; paper reports flex requests with standard-tier capacity fallback; question-depth experiment; all three reachability tasks; question depth pooled k=4,8,16,32; N=400; target context 200000 tokens; other experimental variables sampled independently/uniformly as paper §4.1; concentration alpha=0.1; source Table 232026-10-30 · document_publicationGraphNIAH paper v1 · Table23 pooled question-depth accuracy
GPT-5.6-Luna44.0percentPaper v1; reasoning_effort=low; temperature=1.0; answer extracted from final \answer{} block and exact-matched to graph ground truth; LiteLLM/OpenAI; top_p not set while reasoning; no explicit output-token limit; flex requests with standard-tier capacity fallback as reported; question-depth experiment; all three reachability tasks; question depth pooled k=4,8,16,32; N=400; target context 200000 tokens; other experimental variables sampled independently/uniformly as paper §4.1; concentration alpha=0.1; source Table 232026-10-30 · document_publicationGraphNIAH paper v1 · Table23 pooled question-depth accuracy
Qwen3.5-122B-A10B46.75percentPaper v1; reasoning_effort=low; temperature=1.0; answer extracted from final \answer{} block and exact-matched to graph ground truth; LiteLLM/OpenRouter, Alibaba first then DeepInfra FP8 fallback; top_p=0.95, top_k=20, min_p=0, presence_penalty=1.5, maximum 40000 output tokens; question-depth experiment; all three reachability tasks; question depth pooled k=4,8,16,32; N=400; target context 200000 tokens; other experimental variables sampled independently/uniformly as paper §4.1; concentration alpha=0.1; source Table 232026-10-30 · document_publicationGraphNIAH paper v1 · Table23 pooled question-depth accuracy
Qwen3.5-35B-A3B45.25percentPaper v1; reasoning_effort=low; temperature=1.0; answer extracted from final \answer{} block and exact-matched to graph ground truth; LiteLLM/OpenRouter, Alibaba first then DeepInfra FP8 fallback; top_p=0.95, top_k=20, min_p=0, presence_penalty=1.5, maximum 40000 output tokens; question-depth experiment; all three reachability tasks; question depth pooled k=4,8,16,32; N=400; target context 200000 tokens; other experimental variables sampled independently/uniformly as paper §4.1; concentration alpha=0.1; source Table 232026-10-30 · document_publicationGraphNIAH paper v1 · Table23 pooled question-depth accuracy
Qwen3.5-397B-A17B48.25percentPaper v1; reasoning_effort=low; temperature=1.0; answer extracted from final \answer{} block and exact-matched to graph ground truth; LiteLLM/OpenRouter, Alibaba first then DeepInfra FP8 fallback; top_p=0.95, top_k=20, min_p=0, presence_penalty=1.5, maximum 40000 output tokens; question-depth experiment; all three reachability tasks; question depth pooled k=4,8,16,32; N=400; target context 200000 tokens; other experimental variables sampled independently/uniformly as paper §4.1; concentration alpha=0.1; source Table 232026-10-30 · document_publicationGraphNIAH paper v1 · Table23 pooled question-depth accuracy
GPT-5.6-Sol61.67percentPaper v1; reasoning_effort=low; temperature=1.0; answer extracted from final \answer{} block and exact-matched to graph ground truth; LiteLLM/OpenAI; top_p not set while reasoning; no explicit output-token limit; flex requests with standard-tier capacity fallback as reported; question-depth experiment; all three reachability tasks; question depth pooled k=8,16,32; N=300; target context 200000 tokens; other experimental variables sampled independently/uniformly as paper §4.1; concentration alpha=0.1; no k=4 run; pool uses k=8,16,32 only; source Table 232026-10-30 · document_publicationGraphNIAH paper v1 · Table23 pooled question-depth accuracy