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O1 Mini

OpenAI

Strongest in Jailbreak resistance (#23 of 268), weakest in Human preference (#190 of 354). Above par in 11 of 15 scopes. Among the models it meets almost everywhere, it finishes behind GPT-5 and O3 and ahead of Claude Haiku 4.5 and Grok 3.

§ 1 · Profile

What it is good at

Bars run from 50 — the average of the models each source lists — so right of the line is above par. The middle column is the gap to whoever leads that scope.

Safety56.6#29/329
Jailbreak resistance61.9#23/268
Safe-prompt compliance56.4#25/82
Harm refusal56.9#35/292
Secure code59.9#67/270
Fairness53#82/292
Toxicity avoidance55.1#102/268
Professional51.3#83/194
Medical53.6#59/149
Coding47.7#102/179
Agentic coding47.5#100/173
Reasoning39.5#172/195
Reasoning34.9#143/147
Human preference50.6#190/354
Human preference50.6#190/354

§ 2 · Head to head

What it beats, and what beats it

The same models turn up scope after scope. Counted once: where both were placed, who finished higher. Bars run right for O1 Mini, left for the other.

Jamba 1.6 Miniwon 9 · lost 0
Jamba 1.6 Largewon 9 · lost 0
DeepSeek LLM 67B Chatwon 9 · lost 0
DBRX Instructwon 9 · lost 0
Gemma 2 9B ITwon 9 · lost 0
Jamba 1.5 Largewon 10 · lost 0
QwQ 32Bwon 10 · lost 0
Mixtral 8x7B Instructwon 11 · lost 0
GPT-3.5 Turbowon 11 · lost 0
Llama 3.1 70B Instructwon 11 · lost 0
Gemini 1.5 Flashwon 11 · lost 0
GPT-4o miniwon 14 · lost 1
Command R+won 12 · lost 1
Llama 3.1 8B Instructwon 10 · lost 1
Mixtral 8x22B Instructwon 10 · lost 1
Llama 3.3 70B Instructwon 10 · lost 1
Jamba 1.5 Miniwon 9 · lost 1
Magistral Small 1.2won 8 · lost 1
Llama 2 7B Chatwon 8 · lost 1
Llama 2 70B Chatwon 8 · lost 1
Llama 3 8B Instructwon 8 · lost 1
Qwen2 72B Instructwon 8 · lost 1
Llama 3 70B Instructwon 8 · lost 1
GPT-4.1 nanowon 13 · lost 2
Llama 4 Scout Instructwon 11 · lost 2
Llama 3.1 405B Instructwon 11 · lost 2
Command Awon 11 · lost 2
Ling 3.0 Flashwon 9 · lost 2
Claude 3 Haikuwon 8 · lost 2
Magistral Mediumwon 8 · lost 2
GPT-4owon 12 · lost 3
Gemini 2.0 Flashwon 12 · lost 3
Llama 2 13B Chatwon 7 · lost 2
Gemini 2.0 Flash-Litewon 7 · lost 2
Gemini 1.5 Prowon 10 · lost 3
Grok 4.3won 10 · lost 3
Gemma 4 31Bwon 10 · lost 3
GPT OSS 20Bwon 9 · lost 3
Qwen2.5 72B Instructwon 8 · lost 3
Grok 4.1 Fastwon 10 · lost 4
Gemma 3 27B ITwon 7 · lost 3
GLM-4.6won 9 · lost 4
Claude 3 Sonnetwon 6 · lost 3
Gemma 2 27B ITwon 6 · lost 3
GPT-4.1 miniwon 10 · lost 5
Kimi K2.5won 9 · lost 5
DeepSeek V3.1won 7 · lost 4
MiMo V2.5 Prowon 8 · lost 5
DeepSeek V3won 9 · lost 6
Grok 4won 9 · lost 6
Kimi K2 Thinkingwon 7 · lost 5
Claude 3.5 Haikuwon 7 · lost 5
DeepSeek V4 Flashwon 8 · lost 6
Qwen3.7 Maxwon 8 · lost 6
GPT-5.4 nanowon 5 · lost 4
Mistral Large 3won 5 · lost 4
GLM-4.5won 6 · lost 5
MiMo V2.6 Flashwon 7 · lost 6
Grok 3won 8 · lost 7
Claude Haiku 4.5won 8 · lost 7
Kimi K2.7 Codewon 5 · lost 5
DeepSeek V3.2won 7 · lost 7
MiniMax M3won 7 · lost 7
DeepSeek V4 Prowon 7 · lost 7
GLM-5.1won 7 · lost 7
GPT OSS 120Bwon 7 · lost 8
O3 Miniwon 7 · lost 8
O4 Miniwon 7 · lost 8
Kimi K2.6won 6 · lost 7
GLM-5.2won 6 · lost 7
Gemini 2.5 Flash-Litewon 4 · lost 5
MiniMax M2.5won 4 · lost 5
Grok 4 Fastwon 4 · lost 5
GPT-4 Turbowon 6 · lost 8
Mistral Large 4won 6 · lost 8
GPT-5.6 Lunawon 6 · lost 8
Gemini 3.6 Flashwon 6 · lost 8
Qwen3.8 Maxwon 6 · lost 8
Gemini 2.5 Flashwon 6 · lost 9
Gemini 2.5 Prowon 6 · lost 9
Claude Sonnet 4.5won 6 · lost 9
MiniMax M2.7won 5 · lost 8
GPT-5.4won 5 · lost 8
Claude 3 Opuswon 4 · lost 7
Claude Sonnet 4won 5 · lost 9
GPT-6 Lunawon 5 · lost 9
GPT-6 Solwon 5 · lost 9
GPT-5.6 Terrawon 5 · lost 9
MiMo V2.6 Prowon 5 · lost 9
MiniMax M2.1won 3 · lost 6
GLM-4.7won 3 · lost 6
GLM-5won 3 · lost 6
Gemini 3 Flashwon 3 · lost 6
Claude Opus 4.5won 3 · lost 6
Gemini 3.1 Prowon 3 · lost 6
Claude Sonnet 4.6won 4 · lost 8
Gemini 3 Prowon 4 · lost 8
Claude 3.5 Sonnetwon 5 · lost 10
GPT-4.1won 5 · lost 10
Kimi K2won 5 · lost 10
DeepSeek R1won 5 · lost 10
Gemini 3.5 Flashwon 4 · lost 9
MiniMax M2won 3 · lost 7
GPT-4.5won 3 · lost 7
Claude 3.7 Sonnetwon 4 · lost 10
Inklingwon 4 · lost 10
Grok 4.5won 4 · lost 10
GLM-5.3 Flashwon 4 · lost 10
GPT-5.5won 4 · lost 10
GPT-5.6 Solwon 4 · lost 10
Gemini 3.8 Flashwon 4 · lost 10
Qwen3 235B A22B Instructwon 4 · lost 11
GPT-5.1won 4 · lost 11
Grok 3 Miniwon 3 · lost 9
Claude Opus 4.6won 3 · lost 9
GPT-5 nanowon 3 · lost 10
DeepSeek V4.1 Flashwon 2 · lost 7
Claude Opus 4won 3 · lost 11
GPT-5.2won 3 · lost 11
Grok 4.6won 3 · lost 11
Claude Opus 4.7won 3 · lost 11
GPT-5 miniwon 3 · lost 12
Muse Spark 1.1won 2 · lost 11
Grok 4.7won 2 · lost 12
Claude Opus 4.8won 2 · lost 12
Claude Opus 5won 2 · lost 12
Claude Opus 5.5won 2 · lost 12
GPT-6 Astrawon 1 · lost 8
Gemini 4 Argonwon 1 · lost 8
O1won 1 · lost 13
Claude Sonnet 5won 1 · lost 13
O3won 1 · lost 14
GPT-5won 1 · lost 14

§ 3 · Sources

Where the numbers come from

7 publications, 16 figures. Every one links to the page it was read from.

LMArena Text ↗1 measureread 2026-11-10
LMArena Text 1337
ARC-AGI-2 ↗1 measureread 2026-11-10
ARC-AGI-2 0.8%
Aider polyglot ↗1 measureread 2026-11-10
Aider polyglot 32.9%
SimpleBench ↗1 measureread 2026-11-10
SimpleBench 18.1%
Vals.ai ↗1 measureread 2026-11-10
Vals · MedQA 90.22%
HELM Safety ↗5 measuresread 2026-11-10
HELM Safety · HarmBench 88.5%HELM Safety · SimpleSafetyTests 97%HELM Safety · Anthropic Red Team 98.3%HELM Safety · BBQ 96.9%HELM Safety · XSTest 97%
Enkrypt AI Safety Leaderboard ↗6 measuresread 2026-11-10
Enkrypt · Jailbreak risk 2.8%Enkrypt · Harmful content risk 7.2%Enkrypt · CBRN risk 7.3%Enkrypt · Toxicity risk 2.7%Enkrypt · Bias risk 80.9%Enkrypt · Insecure code risk 12.9%

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