Model profile
O1 Mini
Evidence summary
O1 Mini has an estimated overall rank of #95; its 90% source-sensitivity interval is #22–#219. Its behavior-only rank is #102; company governance moves the combined estimate to #95. Published evidence spans 11 evals and 7 of 7 behavior components. Its strongest relative result is Large-scale Moral Machine experiment on LLMs (human_choice_distance, #1 of 39); its weakest is AIRBench 2024 Safety Scenarios (safety_scenarios, #68 of 80).
Compare this model
Only models sharing at least one published sub-eval are listed.
Official and reference links
- Artificial Analysis ↗o1-mini
- OpenRouter ↗openai/o1-mini
- System card ↗Family-level model document · OpenAI · first party
- Release source ↗direct research preview identity date
Published eval results
Rank is within that sub-eval. Black marks the observed result; the grey dot marks the value implied by the global rank. Values stay on each source’s native scale.
| Eval / sub-eval | Rank | Value | Distribution | Source |
|---|---|---|---|---|
| AIRBench 2024 Safety Scenariossafety_scenarios | #68 / 80 | ↑0.452 | Source ↗official | |
| Confabulationsconfabulation_rate | #31 / 52 | ↓26.24 | Source ↗official | |
| Enkrypt AI Safety Leaderboardbias_attack_non_success_rate | #88 / 241 | ↑19.12 | Source ↗official | |
| Enkrypt AI Safety Leaderboardcbrn_attack_non_success_rate | #40 / 241 | ↑92.67 | Source ↗official | |
| Enkrypt AI Safety Leaderboardharmful_attack_non_success_rate | #39 / 241 | ↑92.78 | Source ↗official | |
| Enkrypt AI Safety Leaderboardtoxicity_attack_non_success_rate | #94 / 239 | ↑97.27 | Source ↗official | |
| HELM Safetyanthropic_red_team | #50 / 80 | ↑0.983 | Source ↗official | |
| HELM Safetybbq | #11 / 80 | ↑0.969 | Source ↗official | |
| HELM Safetyharmbench | #23 / 80 | ↑0.885 | Source ↗official | |
| HELM Safetysimple_safety_tests | #58 / 80 | ↑0.97 | Source ↗official | |
| HELM Safetyxstest | #24 / 80 | ↑0.97 | Source ↗official | |
| HUMAINE Trust, Ethics and Safetytrust_ethics_safety_score | #41 / 54 | ↑25.53 | Source ↗official | |
| Large-scale Moral Machine experiment on LLMshuman_choice_distance | #1 / 39 | ↓0.7105 | Source ↗official | |
| SORRY-Benchavg | #20 / 51 | ↓0.24 | Source ↗official |
Values evaluations
Descriptive values and political-framing results are separate from safety/ethics ranks. Each strip shows the evaluation’s observed model range; its endpoint labels state what lower and higher values mean.