Benchmarks
326 sources · 1,256 models × 2,956 benchmarks · 154,484 scoresWhether a model can formulate valuable, testable hypotheses from real data, over 5 tasks in the DiscoveryRSI research harness. The inspire rate is the share of its hypothesis versions that anticipate research published after its knowledge cutoff.
No signal or difficulty estimate. Too few models have been measured on this benchmark to estimate its difficulty.
| # | Model | Setting | Score | Source |
|---|---|---|---|---|
| 1 | MiMo-V2.6-Pro | not reported · Science's Last Exam; Claude Code with web search and fetch off; DiscoveryRSI for Hypothesis Discovery | 12.4 | |
| 2 | GLM-5.3 Flash | high · Science's Last Exam; Claude Code with web search and fetch off; DiscoveryRSI for Hypothesis Discovery | 11.6 | |
| 3 | Kimi K3.1 Pro | not reported · Science's Last Exam; Claude Code with web search and fetch off; DiscoveryRSI for Hypothesis Discovery | 9.2 | |
| 4 | Claude Opus 5 | high · Science's Last Exam; Claude Code with web search and fetch off; DiscoveryRSI for Hypothesis Discovery | 7.3 | |
| 5 | GPT-6.1 Sol | medium · Science's Last Exam; Codex with web search and fetch off; DiscoveryRSI for Hypothesis Discovery | 4.9 | |
| 6 | MiniMax M3 | high · Science's Last Exam; Claude Code with web search and fetch off; DiscoveryRSI for Hypothesis Discovery | 3.6 |