AI EVALUATION, IN CONTEXT.BY EQUALITY MACHINE

Model reports

Quant-Arena

Can an agent develop a stock-scoring strategy on a research period, freeze it, and retain performance on a sealed year? Quant-Arena tests the complete research loop.

Paper v1 and the author leaderboard: 76 model/effort configurations plus one proprietary reference. Iterative and one-shot tracks are kept separate.

Research, commit, then assess

A run writes Python features and daily stock scores for a selected universe of 3,042 A-share stocks, using daily and raw Level-2 data. Iterative research permits at most five candidate evaluations on 2022–2023. One program is then frozen and evaluated once on the sealed year 2024. One-shot generation writes one strategy without that research feedback.

Quant-Arena paper v1 · protocol, Table 2, Appendix B and reference strategy

Total score is not return

Total S = 0.3 S_in + 0.7 S_out on a 0–100 scale. The in-sample score combines return-dominated quality with feature diversity; the sealed-period combination rule is fixed per version but unpublished. The cash-account evaluator targets 75 stocks and applies lot constraints, costs and simulated market impact. Its equal-weight market reference is gross of costs.

Quant-Arena paper v1 · protocol, Table 2, Appendix B and reference strategy

Read every effort level

There are 38 iterative and 38 one-shot configurations of nine models. A model’s best total-score configuration need not maximize its annualized return. In Table 2, GPT-6 Sol at medium effort returns 18.4% against the 17.1% gross market, while its highest total score belongs to xhigh. The statement that no model beats the market concerns the selected best-score configurations, not every run.

Quant-Arena paper v1 · protocol, Table 2, Appendix B and reference strategy · Quant-Arena · author leaderboard, all efforts and both settings

Iterative research · complete configurations

All 38 model/effort configurations are retained. Kepler-1 is the publisher’s proprietary reference, displayed separately in the source and not another LLM effort setting.

Iterative research · author leaderboard read 2026-10-27
ModelEffortTotalS_inS_out2024 ARRExcess (pp)RankICSharpeMDD
Kepler-1 Einsia AI—77.5677.2277.7094.0%+76.90.0852.98−15.9%
GPT-6 AstraLow47.2258.1042.562.3%−14.80.0560.22−25.7%
GPT-6 AstraMedium47.1748.0946.789.8%−7.20.0440.53−17.9%
GPT-6 AstraHigh43.7052.3439.99−0.9%−17.90.0530.11−26.3%
GPT-6 AstraXHigh51.2953.9450.1610.7%−6.30.1010.86−6.8%
GPT-6 AstraMax50.6352.9449.6411.2%−5.90.0820.81−7.0%
GPT-6 SolLow38.5148.8534.091.4%−15.7−0.0200.19−30.1%
GPT-6 SolMedium49.8044.1452.2318.4%+1.40.0180.65−35.9%
GPT-6 SolHigh42.8952.1638.92−2.5%−19.50.0420.10−37.4%
GPT-6 SolXHigh51.1455.5049.268.6%−8.40.0531.89−2.8%
GPT-6 SolMax45.3146.4944.818.1%−9.00.0180.41−30.0%
GPT-5.6 TerraNone33.0926.6735.852.4%−14.7−0.0420.22−24.9%
GPT-5.6 TerraLow41.1950.5837.17−4.6%−21.70.0220.02−31.4%
GPT-5.6 TerraMedium39.5043.1737.93−4.3%−21.30.0360.00−29.0%
GPT-5.6 TerraHigh41.5444.7240.170.0%−17.00.0350.14−29.9%
GPT-5.6 TerraXHigh44.7750.6042.289.9%−7.1−0.0120.44−32.6%
GPT-5.6 TerraMax47.5850.3746.398.4%−8.70.0260.42−28.8%
Claude Opus 5.5Low30.1537.7626.89−29.4%−46.40.035−1.21−44.1%
Claude Opus 5.5Medium44.2856.7838.924.4%−12.7−0.0020.29−32.7%
Claude Opus 5.5High39.8952.8734.32−11.2%−28.30.039−0.25−32.7%
Claude Opus 5.5XHigh41.9254.4836.53−7.0%−24.00.043−0.08−33.2%
Claude Opus 5.5Max41.3950.4137.52−4.0%−21.10.030−0.03−25.1%
Gemini 3.8 FlashLow41.4653.4436.32−6.2%−23.30.037−0.04−35.8%
Gemini 3.8 FlashMedium43.0453.5838.52−2.9%−19.90.0450.06−33.8%
Gemini 3.8 FlashHigh35.3948.9029.61−19.1%−36.20.022−0.49−38.5%
Claude Sonnet 5.5Low34.9747.9129.43−9.5%−26.6−0.009−0.13−35.5%
Claude Sonnet 5.5Medium39.4243.3937.73−3.5%−20.60.041−0.02−24.3%
Claude Sonnet 5.5High40.5054.1134.67−9.0%−26.10.044−0.19−34.7%
Claude Sonnet 5.5XHigh40.1044.6838.13−0.5%−17.60.0150.15−35.0%
Claude Sonnet 5.5Max40.9357.3333.90−12.2%−29.20.045−0.23−36.1%
GLM-5.3High38.6749.3134.11−8.6%−25.70.018−0.14−31.6%
GLM-5.3Max38.9147.9635.03−7.8%−24.90.046−0.18−27.8%
Kimi K3Low38.3145.8735.07−8.5%−25.60.027−0.10−36.4%
Kimi K3High31.4336.8529.10−20.0%−37.00.036−0.84−36.9%
Kimi K3Max31.8639.8728.43−25.6%−42.70.041−1.14−39.9%
DeepSeek V4.1 FlashNone22.0021.2122.33−24.1%−41.2−0.022−1.03−29.5%
DeepSeek V4.1 FlashLow36.4548.4631.30−5.7%−22.7−0.009−0.06−30.3%
DeepSeek V4.1 FlashHigh35.9746.0231.67−11.3%−28.40.015−0.25−34.0%
DeepSeek V4.1 FlashMax35.9042.4933.08−11.0%−28.10.037−0.28−34.2%

Values are copied as displayed; S is the normalized score, while ARR and MDD are percentages. The two settings are separate protocols. Kepler-1’s construction is undisclosed.

Quant-Arena paper v1 · protocol, Table 2, Appendix B and reference strategy · Quant-Arena · author leaderboard, all efforts and both settings

One-shot generation · complete configurations

All 38 model/effort configurations are retained. Kepler-1 is the publisher’s proprietary reference, displayed separately in the source and not another LLM effort setting.

One-shot generation · author leaderboard read 2026-10-27
ModelEffortTotalS_inS_out2024 ARRExcess (pp)RankICSharpeMDD
Kepler-1 Einsia AI—77.5677.2277.7094.0%+76.90.0852.98−15.9%
Claude Opus 5.5Low35.0443.2131.53−4.5%−21.6−0.0110.00−33.0%
Claude Opus 5.5Medium42.6147.1940.655.6%−11.5−0.0010.34−21.0%
Claude Opus 5.5High36.0739.6834.52−7.5%−24.50.020−0.14−29.7%
Claude Opus 5.5XHigh39.1349.0534.88−9.9%−26.90.040−0.20−35.0%
Claude Opus 5.5Max39.7042.0738.69−3.7%−20.80.0460.03−35.9%
GPT-5.6 TerraNone42.1446.5640.259.5%−7.6−0.0100.44−27.8%
GPT-5.6 TerraLow27.8226.5928.35−10.3%−27.4−0.007−0.24−25.7%
GPT-5.6 TerraMedium21.0120.4421.25−32.4%−49.4−0.010−1.51−34.1%
GPT-5.6 TerraHigh40.6142.8839.646.2%−10.9−0.0010.35−27.5%
GPT-5.6 TerraXHigh34.2142.9430.46−9.8%−26.80.000−0.17−33.6%
GPT-5.6 TerraMax20.9820.9820.97−32.3%−49.3−0.009−1.60−32.6%
Claude Sonnet 5.5Low37.7542.4135.761.1%−16.0−0.0070.19−30.3%
Claude Sonnet 5.5Medium33.8241.8130.39−11.5%−28.60.002−0.21−35.5%
Claude Sonnet 5.5High40.2444.2838.501.4%−15.60.0100.20−32.1%
Claude Sonnet 5.5XHigh37.0547.9032.40−14.3%−31.30.029−0.33−36.0%
Claude Sonnet 5.5Max33.8941.1930.77−14.8%−31.90.018−0.33−36.9%
GLM-5.3High38.0252.5431.79−4.2%−21.3−0.0230.05−37.3%
GLM-5.3Max31.4634.7030.07−15.4%−32.40.022−0.51−32.1%
Gemini 3.8 FlashLow27.7521.2630.53−12.1%−29.10.005−0.41−23.5%
Gemini 3.8 FlashMedium35.9135.6236.041.6%−15.4−0.0060.19−23.8%
Gemini 3.8 FlashHigh30.2625.9332.11−5.4%−22.5−0.003−0.06−24.6%
GPT-6 AstraLow30.0835.0527.95−11.2%−28.3−0.010−0.28−30.3%
GPT-6 AstraMedium31.0236.7328.57−9.7%−26.7−0.012−0.20−30.3%
GPT-6 AstraHigh35.2238.2733.92−4.8%−21.90.007−0.03−30.9%
GPT-6 AstraXHigh30.3038.4626.80−16.7%−33.8−0.002−0.48−34.7%
GPT-6 AstraMax31.4740.1327.75−18.3%−35.30.007−0.54−34.8%
GPT-6 SolLow32.1538.2929.52−7.6%−24.7−0.014−0.08−32.2%
GPT-6 SolMedium22.6022.6222.59−31.4%−48.4−0.006−1.31−34.1%
GPT-6 SolHigh23.1521.0724.04−17.4%−34.4−0.020−0.51−29.6%
GPT-6 SolXHigh23.2923.8423.05−19.0%−36.1−0.022−0.60−29.6%
GPT-6 SolMax22.3124.0821.55−23.7%−40.7−0.018−0.98−32.5%
Kimi K3Low31.5838.5828.58−13.4%−30.50.000−0.34−33.8%
Kimi K3High32.0137.8929.48−20.5%−37.60.038−0.84−38.6%
Kimi K3Max31.6540.8727.70−20.3%−37.30.016−0.86−35.1%
DeepSeek V4.1 FlashNone20.4822.0119.82−34.1%−51.1−0.015−1.79−37.5%
DeepSeek V4.1 FlashLow29.3634.2127.28−17.4%−34.40.001−0.49−33.3%
DeepSeek V4.1 FlashHigh29.6337.5126.25−25.4%−42.40.010−0.92−39.5%
DeepSeek V4.1 FlashMax29.9235.9527.34−11.9%−29.0−0.008−0.42−26.7%

Values are copied as displayed; S is the normalized score, while ARR and MDD are percentages. The two settings are separate protocols. Kepler-1’s construction is undisclosed.

Quant-Arena paper v1 · protocol, Table 2, Appendix B and reference strategy · Quant-Arena · author leaderboard, all efforts and both settings

What this evidence establishes

This is an author-run historical assessment on one stock universe and one sealed year, with a controlled data interface and benchmark-specific trading assumptions. It measures research and strategy construction under that setup. It does not establish forward investment performance, an independently reproduced result, or a general finance knowledge ranking.

Quant-Arena paper v1 · protocol, Table 2, Appendix B and reference strategy

Original publication

Paper v1 and the author leaderboard: 76 model/effort configurations plus one proprietary reference. Iterative and one-shot tracks are kept separate.

Reviewed 2026-10-27

Evidence available for this benchmark

This source record contains 77 numeric observations. The source distinguishes 10 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
Total score S = 0.3 S_in + 0.7 S_out (0–100)
Recorded unit
points
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
2026-10-21
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 77

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

ModelValueUnitProtocolReported date and basisSource
Kepler-1 (proprietary strategy)77.56pointsKepler-1 proprietary reference strategy; construction undisclosed; cash-account evaluator; not a supported-effort LLM run2026-10-21 · document_publicationQuant-Arena paper v1 · configuration results and proprietary reference
Claude Opus 5.539.89pointsiterative research; at most five research-window candidate evaluations; reasoning effort high; frozen strategy; cash-account evaluator2026-10-21 · document_publicationQuant-Arena paper v1 · configuration results and proprietary reference
Claude Sonnet 5.540.5pointsiterative research; at most five research-window candidate evaluations; reasoning effort high; frozen strategy; cash-account evaluator2026-10-21 · document_publicationQuant-Arena paper v1 · configuration results and proprietary reference
DeepSeek V4.1 Flash35.97pointsiterative research; at most five research-window candidate evaluations; reasoning effort high; frozen strategy; cash-account evaluator2026-10-21 · document_publicationQuant-Arena paper v1 · configuration results and proprietary reference
GLM-5.338.67pointsiterative research; at most five research-window candidate evaluations; reasoning effort high; frozen strategy; cash-account evaluator2026-10-21 · document_publicationQuant-Arena paper v1 · configuration results and proprietary reference
GPT-5.6 Terra41.54pointsiterative research; at most five research-window candidate evaluations; reasoning effort high; frozen strategy; cash-account evaluator2026-10-21 · document_publicationQuant-Arena paper v1 · configuration results and proprietary reference
GPT-6 Astra43.7pointsiterative research; at most five research-window candidate evaluations; reasoning effort high; frozen strategy; cash-account evaluator2026-10-21 · document_publicationQuant-Arena paper v1 · configuration results and proprietary reference
GPT-6 Sol42.89pointsiterative research; at most five research-window candidate evaluations; reasoning effort high; frozen strategy; cash-account evaluator2026-10-21 · document_publicationQuant-Arena paper v1 · configuration results and proprietary reference
Gemini 3.8 Flash35.39pointsiterative research; at most five research-window candidate evaluations; reasoning effort high; frozen strategy; cash-account evaluator2026-10-21 · document_publicationQuant-Arena paper v1 · configuration results and proprietary reference
Kimi K331.43pointsiterative research; at most five research-window candidate evaluations; reasoning effort high; frozen strategy; cash-account evaluator2026-10-21 · document_publicationQuant-Arena paper v1 · configuration results and proprietary reference
Claude Opus 5.530.15pointsiterative research; at most five research-window candidate evaluations; reasoning effort low; frozen strategy; cash-account evaluator2026-10-21 · document_publicationQuant-Arena paper v1 · configuration results and proprietary reference
Claude Sonnet 5.534.97pointsiterative research; at most five research-window candidate evaluations; reasoning effort low; frozen strategy; cash-account evaluator2026-10-21 · document_publicationQuant-Arena paper v1 · configuration results and proprietary reference
DeepSeek V4.1 Flash36.45pointsiterative research; at most five research-window candidate evaluations; reasoning effort low; frozen strategy; cash-account evaluator2026-10-21 · document_publicationQuant-Arena paper v1 · configuration results and proprietary reference
GPT-5.6 Terra41.19pointsiterative research; at most five research-window candidate evaluations; reasoning effort low; frozen strategy; cash-account evaluator2026-10-21 · document_publicationQuant-Arena paper v1 · configuration results and proprietary reference
GPT-6 Astra47.22pointsiterative research; at most five research-window candidate evaluations; reasoning effort low; frozen strategy; cash-account evaluator2026-10-21 · document_publicationQuant-Arena paper v1 · configuration results and proprietary reference
GPT-6 Sol38.51pointsiterative research; at most five research-window candidate evaluations; reasoning effort low; frozen strategy; cash-account evaluator2026-10-21 · document_publicationQuant-Arena paper v1 · configuration results and proprietary reference
Gemini 3.8 Flash41.46pointsiterative research; at most five research-window candidate evaluations; reasoning effort low; frozen strategy; cash-account evaluator2026-10-21 · document_publicationQuant-Arena paper v1 · configuration results and proprietary reference
Kimi K338.31pointsiterative research; at most five research-window candidate evaluations; reasoning effort low; frozen strategy; cash-account evaluator2026-10-21 · document_publicationQuant-Arena paper v1 · configuration results and proprietary reference
Claude Opus 5.541.39pointsiterative research; at most five research-window candidate evaluations; reasoning effort max; frozen strategy; cash-account evaluator2026-10-21 · document_publicationQuant-Arena paper v1 · configuration results and proprietary reference
Claude Sonnet 5.540.93pointsiterative research; at most five research-window candidate evaluations; reasoning effort max; frozen strategy; cash-account evaluator2026-10-21 · document_publicationQuant-Arena paper v1 · configuration results and proprietary reference
DeepSeek V4.1 Flash35.9pointsiterative research; at most five research-window candidate evaluations; reasoning effort max; frozen strategy; cash-account evaluator2026-10-21 · document_publicationQuant-Arena paper v1 · configuration results and proprietary reference
GLM-5.338.91pointsiterative research; at most five research-window candidate evaluations; reasoning effort max; frozen strategy; cash-account evaluator2026-10-21 · document_publicationQuant-Arena paper v1 · configuration results and proprietary reference
GPT-5.6 Terra47.58pointsiterative research; at most five research-window candidate evaluations; reasoning effort max; frozen strategy; cash-account evaluator2026-10-21 · document_publicationQuant-Arena paper v1 · configuration results and proprietary reference
GPT-6 Astra50.63pointsiterative research; at most five research-window candidate evaluations; reasoning effort max; frozen strategy; cash-account evaluator2026-10-21 · document_publicationQuant-Arena paper v1 · configuration results and proprietary reference
GPT-6 Sol45.31pointsiterative research; at most five research-window candidate evaluations; reasoning effort max; frozen strategy; cash-account evaluator2026-10-21 · document_publicationQuant-Arena paper v1 · configuration results and proprietary reference
Kimi K331.86pointsiterative research; at most five research-window candidate evaluations; reasoning effort max; frozen strategy; cash-account evaluator2026-10-21 · document_publicationQuant-Arena paper v1 · configuration results and proprietary reference
Claude Opus 5.544.28pointsiterative research; at most five research-window candidate evaluations; reasoning effort medium; frozen strategy; cash-account evaluator2026-10-21 · document_publicationQuant-Arena paper v1 · configuration results and proprietary reference
Claude Sonnet 5.539.42pointsiterative research; at most five research-window candidate evaluations; reasoning effort medium; frozen strategy; cash-account evaluator2026-10-21 · document_publicationQuant-Arena paper v1 · configuration results and proprietary reference
GPT-5.6 Terra39.5pointsiterative research; at most five research-window candidate evaluations; reasoning effort medium; frozen strategy; cash-account evaluator2026-10-21 · document_publicationQuant-Arena paper v1 · configuration results and proprietary reference
GPT-6 Astra47.17pointsiterative research; at most five research-window candidate evaluations; reasoning effort medium; frozen strategy; cash-account evaluator2026-10-21 · document_publicationQuant-Arena paper v1 · configuration results and proprietary reference
GPT-6 Sol49.8pointsiterative research; at most five research-window candidate evaluations; reasoning effort medium; frozen strategy; cash-account evaluator2026-10-21 · document_publicationQuant-Arena paper v1 · configuration results and proprietary reference
Gemini 3.8 Flash43.04pointsiterative research; at most five research-window candidate evaluations; reasoning effort medium; frozen strategy; cash-account evaluator2026-10-21 · document_publicationQuant-Arena paper v1 · configuration results and proprietary reference
DeepSeek V4.1 Flash22.0pointsiterative research; at most five research-window candidate evaluations; reasoning effort none; frozen strategy; cash-account evaluator2026-10-21 · document_publicationQuant-Arena paper v1 · configuration results and proprietary reference
GPT-5.6 Terra33.09pointsiterative research; at most five research-window candidate evaluations; reasoning effort none; frozen strategy; cash-account evaluator2026-10-21 · document_publicationQuant-Arena paper v1 · configuration results and proprietary reference
Claude Opus 5.541.92pointsiterative research; at most five research-window candidate evaluations; reasoning effort xhigh; frozen strategy; cash-account evaluator2026-10-21 · document_publicationQuant-Arena paper v1 · configuration results and proprietary reference
Claude Sonnet 5.540.1pointsiterative research; at most five research-window candidate evaluations; reasoning effort xhigh; frozen strategy; cash-account evaluator2026-10-21 · document_publicationQuant-Arena paper v1 · configuration results and proprietary reference
GPT-5.6 Terra44.77pointsiterative research; at most five research-window candidate evaluations; reasoning effort xhigh; frozen strategy; cash-account evaluator2026-10-21 · document_publicationQuant-Arena paper v1 · configuration results and proprietary reference
GPT-6 Astra51.29pointsiterative research; at most five research-window candidate evaluations; reasoning effort xhigh; frozen strategy; cash-account evaluator2026-10-21 · document_publicationQuant-Arena paper v1 · configuration results and proprietary reference
GPT-6 Sol51.14pointsiterative research; at most five research-window candidate evaluations; reasoning effort xhigh; frozen strategy; cash-account evaluator2026-10-21 · document_publicationQuant-Arena paper v1 · configuration results and proprietary reference
Claude Opus 5.536.07pointsone-shot generation; no research-window candidate feedback; reasoning effort high; frozen strategy; cash-account evaluator2026-10-21 · document_publicationQuant-Arena paper v1 · configuration results and proprietary reference
Claude Sonnet 5.540.24pointsone-shot generation; no research-window candidate feedback; reasoning effort high; frozen strategy; cash-account evaluator2026-10-21 · document_publicationQuant-Arena paper v1 · configuration results and proprietary reference
DeepSeek V4.1 Flash29.63pointsone-shot generation; no research-window candidate feedback; reasoning effort high; frozen strategy; cash-account evaluator2026-10-21 · document_publicationQuant-Arena paper v1 · configuration results and proprietary reference
GLM-5.338.02pointsone-shot generation; no research-window candidate feedback; reasoning effort high; frozen strategy; cash-account evaluator2026-10-21 · document_publicationQuant-Arena paper v1 · configuration results and proprietary reference
GPT-5.6 Terra40.61pointsone-shot generation; no research-window candidate feedback; reasoning effort high; frozen strategy; cash-account evaluator2026-10-21 · document_publicationQuant-Arena paper v1 · configuration results and proprietary reference
GPT-6 Astra35.22pointsone-shot generation; no research-window candidate feedback; reasoning effort high; frozen strategy; cash-account evaluator2026-10-21 · document_publicationQuant-Arena paper v1 · configuration results and proprietary reference
GPT-6 Sol23.15pointsone-shot generation; no research-window candidate feedback; reasoning effort high; frozen strategy; cash-account evaluator2026-10-21 · document_publicationQuant-Arena paper v1 · configuration results and proprietary reference
Gemini 3.8 Flash30.26pointsone-shot generation; no research-window candidate feedback; reasoning effort high; frozen strategy; cash-account evaluator2026-10-21 · document_publicationQuant-Arena paper v1 · configuration results and proprietary reference
Kimi K332.01pointsone-shot generation; no research-window candidate feedback; reasoning effort high; frozen strategy; cash-account evaluator2026-10-21 · document_publicationQuant-Arena paper v1 · configuration results and proprietary reference
Claude Opus 5.535.04pointsone-shot generation; no research-window candidate feedback; reasoning effort low; frozen strategy; cash-account evaluator2026-10-21 · document_publicationQuant-Arena paper v1 · configuration results and proprietary reference
Claude Sonnet 5.537.75pointsone-shot generation; no research-window candidate feedback; reasoning effort low; frozen strategy; cash-account evaluator2026-10-21 · document_publicationQuant-Arena paper v1 · configuration results and proprietary reference
DeepSeek V4.1 Flash29.36pointsone-shot generation; no research-window candidate feedback; reasoning effort low; frozen strategy; cash-account evaluator2026-10-21 · document_publicationQuant-Arena paper v1 · configuration results and proprietary reference
GPT-5.6 Terra27.82pointsone-shot generation; no research-window candidate feedback; reasoning effort low; frozen strategy; cash-account evaluator2026-10-21 · document_publicationQuant-Arena paper v1 · configuration results and proprietary reference
GPT-6 Astra30.08pointsone-shot generation; no research-window candidate feedback; reasoning effort low; frozen strategy; cash-account evaluator2026-10-21 · document_publicationQuant-Arena paper v1 · configuration results and proprietary reference
GPT-6 Sol32.15pointsone-shot generation; no research-window candidate feedback; reasoning effort low; frozen strategy; cash-account evaluator2026-10-21 · document_publicationQuant-Arena paper v1 · configuration results and proprietary reference
Gemini 3.8 Flash27.75pointsone-shot generation; no research-window candidate feedback; reasoning effort low; frozen strategy; cash-account evaluator2026-10-21 · document_publicationQuant-Arena paper v1 · configuration results and proprietary reference
Kimi K331.58pointsone-shot generation; no research-window candidate feedback; reasoning effort low; frozen strategy; cash-account evaluator2026-10-21 · document_publicationQuant-Arena paper v1 · configuration results and proprietary reference
Claude Opus 5.539.7pointsone-shot generation; no research-window candidate feedback; reasoning effort max; frozen strategy; cash-account evaluator2026-10-21 · document_publicationQuant-Arena paper v1 · configuration results and proprietary reference
Claude Sonnet 5.533.89pointsone-shot generation; no research-window candidate feedback; reasoning effort max; frozen strategy; cash-account evaluator2026-10-21 · document_publicationQuant-Arena paper v1 · configuration results and proprietary reference
DeepSeek V4.1 Flash29.92pointsone-shot generation; no research-window candidate feedback; reasoning effort max; frozen strategy; cash-account evaluator2026-10-21 · document_publicationQuant-Arena paper v1 · configuration results and proprietary reference
GLM-5.331.46pointsone-shot generation; no research-window candidate feedback; reasoning effort max; frozen strategy; cash-account evaluator2026-10-21 · document_publicationQuant-Arena paper v1 · configuration results and proprietary reference
GPT-5.6 Terra20.98pointsone-shot generation; no research-window candidate feedback; reasoning effort max; frozen strategy; cash-account evaluator2026-10-21 · document_publicationQuant-Arena paper v1 · configuration results and proprietary reference
GPT-6 Astra31.47pointsone-shot generation; no research-window candidate feedback; reasoning effort max; frozen strategy; cash-account evaluator2026-10-21 · document_publicationQuant-Arena paper v1 · configuration results and proprietary reference
GPT-6 Sol22.31pointsone-shot generation; no research-window candidate feedback; reasoning effort max; frozen strategy; cash-account evaluator2026-10-21 · document_publicationQuant-Arena paper v1 · configuration results and proprietary reference
Kimi K331.65pointsone-shot generation; no research-window candidate feedback; reasoning effort max; frozen strategy; cash-account evaluator2026-10-21 · document_publicationQuant-Arena paper v1 · configuration results and proprietary reference
Claude Opus 5.542.61pointsone-shot generation; no research-window candidate feedback; reasoning effort medium; frozen strategy; cash-account evaluator2026-10-21 · document_publicationQuant-Arena paper v1 · configuration results and proprietary reference
Claude Sonnet 5.533.82pointsone-shot generation; no research-window candidate feedback; reasoning effort medium; frozen strategy; cash-account evaluator2026-10-21 · document_publicationQuant-Arena paper v1 · configuration results and proprietary reference
GPT-5.6 Terra21.01pointsone-shot generation; no research-window candidate feedback; reasoning effort medium; frozen strategy; cash-account evaluator2026-10-21 · document_publicationQuant-Arena paper v1 · configuration results and proprietary reference
GPT-6 Astra31.02pointsone-shot generation; no research-window candidate feedback; reasoning effort medium; frozen strategy; cash-account evaluator2026-10-21 · document_publicationQuant-Arena paper v1 · configuration results and proprietary reference
GPT-6 Sol22.6pointsone-shot generation; no research-window candidate feedback; reasoning effort medium; frozen strategy; cash-account evaluator2026-10-21 · document_publicationQuant-Arena paper v1 · configuration results and proprietary reference
Gemini 3.8 Flash35.91pointsone-shot generation; no research-window candidate feedback; reasoning effort medium; frozen strategy; cash-account evaluator2026-10-21 · document_publicationQuant-Arena paper v1 · configuration results and proprietary reference
DeepSeek V4.1 Flash20.48pointsone-shot generation; no research-window candidate feedback; reasoning effort none; frozen strategy; cash-account evaluator2026-10-21 · document_publicationQuant-Arena paper v1 · configuration results and proprietary reference
GPT-5.6 Terra42.14pointsone-shot generation; no research-window candidate feedback; reasoning effort none; frozen strategy; cash-account evaluator2026-10-21 · document_publicationQuant-Arena paper v1 · configuration results and proprietary reference
Claude Opus 5.539.13pointsone-shot generation; no research-window candidate feedback; reasoning effort xhigh; frozen strategy; cash-account evaluator2026-10-21 · document_publicationQuant-Arena paper v1 · configuration results and proprietary reference
Claude Sonnet 5.537.05pointsone-shot generation; no research-window candidate feedback; reasoning effort xhigh; frozen strategy; cash-account evaluator2026-10-21 · document_publicationQuant-Arena paper v1 · configuration results and proprietary reference
GPT-5.6 Terra34.21pointsone-shot generation; no research-window candidate feedback; reasoning effort xhigh; frozen strategy; cash-account evaluator2026-10-21 · document_publicationQuant-Arena paper v1 · configuration results and proprietary reference
GPT-6 Astra30.3pointsone-shot generation; no research-window candidate feedback; reasoning effort xhigh; frozen strategy; cash-account evaluator2026-10-21 · document_publicationQuant-Arena paper v1 · configuration results and proprietary reference
GPT-6 Sol23.29pointsone-shot generation; no research-window candidate feedback; reasoning effort xhigh; frozen strategy; cash-account evaluator2026-10-21 · document_publicationQuant-Arena paper v1 · configuration results and proprietary reference