AI benchmarks and leaderboards are different things
Learn the difference between a benchmark, an evaluation run and a leaderboard, and use each to answer the right question.
LLM Stats
A graph reasoning benchmark that evaluates language models' ability to find parent nodes in graphs with context length over 128k tokens, testing long-context reasoning and graph structure understanding.
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.
Shown in source observation order, not ranked. Dates retain the precision provided by the source.
| Model | Value | Unit | Protocol | Reported date and basis | Source |
|---|---|---|---|---|---|
| Claude Opus 4.6 | 0.954 | Not recorded | Not recorded | 2026-02-05 · model_announcement | LLM Stats |
| Claude Opus 4.8 | 0.833 | Not recorded | Not recorded | 2026-05-28 · model_announcement | LLM Stats |
| GPT-5.5 | 0.585 | Not recorded | Not recorded | 2026-04-23 · model_announcement | LLM Stats |
| GPT-5.4 | 0.324 | Not recorded | Not recorded | 2026-03-05 · model_announcement | LLM Stats |
| GPT-4.1 | 0.25 | Not recorded | Not recorded | 2025-04-14 · model_announcement | LLM Stats |
| GPT-4.1 mini | 0.11 | Not recorded | Not recorded | 2025-04-14 · model_announcement | LLM Stats |
| GPT-4.1 nano | 0.056 | Not recorded | Not recorded | 2025-04-14 · model_announcement | LLM Stats |