Model profile
O3 Mini
Evidence summary
O3 Mini has an estimated overall rank of #188; its 90% source-sensitivity interval is #103–#228. Its behavior-only rank is #192; company governance moves the combined estimate to #188. Published evidence spans 24 evals and 6 of 7 behavior components. Its strongest relative result is OpenAgentSafety (rule_based_safety_vulnerable, #1 of 7); its weakest is BlueBench AttaQ-100 (attaq_harmlessness_reward_pct, #18 of 18).
Compare this model
Only models sharing at least one published sub-eval are listed.
Official and reference links
- Artificial Analysis ↗o3-mini
- OpenRouter ↗openai/o3-mini
- System card ↗Exact 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 |
|---|---|---|---|---|
| AA-Omnisciencehallucination_rate | #156 / 328 | ↓0.8108 | Source ↗official | |
| AIRBench 2024 Safety Scenariossafety_scenarios | #27 / 80 | ↑0.749 | Source ↗official | |
| BlueBench AttaQ-100attaq_harmlessness_reward_pct | #18 / 18 | ↑80.61 | Source ↗official | |
| CAIS Risk Indexbioweapons_assistance | #37 / 49 | ↓88.3 | Source ↗official | |
| CAIS Risk Indexhle_overconfidence | #45 / 50 | ↓80 | Source ↗official | |
| CAIS Risk Indexmachiavelli | #45 / 46 | ↓105 | Source ↗official | |
| CAIS Risk Indexmask | #42 / 52 | ↓51.1 | Source ↗official | |
| CAIS Risk Indextextquests_harm | #8 / 49 | ↓13.4 | Source ↗official | |
| Confabulationsconfabulation_rate | #36 / 52 | ↓28.96 | Source ↗official | |
| Enkrypt AI Safety Leaderboardbias_attack_non_success_rate | #98 / 241 | ↑18.09 | Source ↗official | |
| Enkrypt AI Safety Leaderboardcbrn_attack_non_success_rate | #53 / 241 | ↑91.67 | Source ↗official | |
| Enkrypt AI Safety Leaderboardharmful_attack_non_success_rate | #71 / 241 | ↑84.44 | Source ↗official | |
| Enkrypt AI Safety Leaderboardtoxicity_attack_non_success_rate | #147 / 239 | ↑95.36 | Source ↗official | |
| FORTRESSaverage_risk_score | #25 / 49 | ↓30.05 | Source ↗official | |
| FORTRESSover_refusal_score | #30 / 46 | ↓5.65 | Source ↗official | |
| HELM Safetyanthropic_red_team | #47 / 80 | ↑0.986 | Source ↗official | |
| HELM Safetybbq | #36 / 80 | ↑0.941 | Source ↗official | |
| HELM Safetyharmbench | #17 / 80 | ↑0.952 | Source ↗official | |
| HELM Safetysimple_safety_tests | #32 / 80 | ↑0.99 | Source ↗official | |
| HELM Safetyxstest | #55 / 80 | ↑0.941 | Source ↗official | |
| HUMAINE Trust, Ethics and Safetytrust_ethics_safety_score | #52 / 54 | ↑22.29 | Source ↗official | |
| MACHIAVELLIdeception_relative_random_pct | #47 / 50 | ↓105 | Source ↗official | |
| MASKlying_probability_pct | #42 / 53 | ↓50.79 | Source ↗official | |
| OpenAgentSafetyllm_judge_safety_vulnerable | #7 / 7 | ↓72.73 | Source ↗official | |
| OpenAgentSafetyrule_based_safety_vulnerable | #1 / 7 | ↓32.32 | Source ↗official | |
| OpenAgentSafetysuccessful_completion | #7 / 7 | ↑17.29 | Source ↗official | |
| OpenAI o3-mini System Cardharmful_request_safety | #1 / 2 | ↑0.9 | Source ↗official | |
| OpenAI o3-mini System Cardjailbreak_resistance | #1 / 2 | ↑0.73 | Source ↗official | |
| PandaBench JBB direct-request panelsafety_rate | #25 / 46 | ↑0.98 | Source ↗official | |
| PropensityBenchscore | #5 / 14 | ↓33.2 | Source ↗official | |
| Reward Hacking Benchmarkintegrity_score | #10 / 13 | ↑92.9 | Source ↗official | |
| SafeDialBenchaggression | #14 / 18 | ↑7.02 | Source ↗official | |
| SafeDialBenchethics | #13 / 18 | ↑7.403 | Source ↗official | |
| SafeDialBenchfairness | #6 / 18 | ↑7.557 | Source ↗official | |
| SafeDialBenchlegality | #17 / 18 | ↑7.193 | Source ↗official | |
| SafeDialBenchmorality | #18 / 18 | ↑7.007 | Source ↗official | |
| SafeDialBenchprivacy | #17 / 18 | ↑7.077 | Source ↗official | |
| SYCON Benchfalse_presupposition_tof | #2 / 11 | ↑2.98 | Source ↗official | |
| SYCON Benchunethical_queries_tof | #4 / 11 | ↑2.31 | 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.