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Claude 3 Haiku

Anthropic

Strongest in Code generation (#20 of 20), weakest in Fairness (#287 of 290). Above par in 5 of 13 scopes. Among the models it meets almost everywhere, it finishes behind Claude Sonnet 5 and Claude 3 Opus and ahead of Gemini 2.0 Flash-Lite and Gemini 1.5 Pro.

§ 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.

Safety51.3#148/327
Harm refusal58.3#21/290
Toxicity avoidance58.1#25/266
Jailbreak resistance60.4#39/266
Safe-prompt compliance30.4#77/82
Secure code55.1#115/268
Fairness34.4#287/290
Core abilities43.7#159/200
General intelligence40.9#148/180
Coding40.3#164/179
Code generation27.6#20/20
Human preference43.4#260/354
Human preference43.4#260/354

§ 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 Claude 3 Haiku, left for the other.

DBRX Instructwon 8 · lost 1
GPT-3.5 Turbowon 8 · lost 1
Magistral Smallwon 7 · lost 1
Jamba Mini 1.7won 7 · lost 1
Jamba Large 1.7won 7 · lost 1
OLMo 7B Instructwon 7 · lost 1
Gemma 2B ITwon 7 · lost 1
SmolLM2 1.7B Instructwon 7 · lost 1
Zephyr 7B Betawon 7 · lost 1
Gemma 7B ITwon 7 · lost 1
Mistral 7B Instruct v0.2won 7 · lost 1
Nous Hermes 2 Mixtral 8x7B DPOwon 7 · lost 1
Llama 3.2 3B Instructwon 7 · lost 1
Starling LM 7B Betawon 7 · lost 1
Qwen1.5 14B Chatwon 7 · lost 1
Phi-3 Medium 4K Instructwon 7 · lost 1
Mixtral 8x7B Instructwon 7 · lost 2
Mixtral 8x22B Instructwon 7 · lost 2
Llama 3.2 1B Instructwon 6 · lost 2
Granite 3.0 2B Instructwon 6 · lost 2
Granite 3.1 2B Instructwon 6 · lost 2
Granite 3.0 8B Instructwon 6 · lost 2
Gemma 2 2B ITwon 6 · lost 2
Granite 3.1 8B Instructwon 6 · lost 2
Llama 3.1 Tulu 3 8Bwon 6 · lost 2
Jamba 1.5 Miniwon 6 · lost 2
Amazon Nova Microwon 6 · lost 2
Amazon Nova Litewon 6 · lost 2
Command Awon 8 · lost 3
Gemma 3 4B ITwon 7 · lost 3
Magistral Mediumwon 7 · lost 3
DeepSeek LLM 67B Chatwon 6 · lost 3
Llama 3.1 8B Instructwon 6 · lost 3
Llama 3 8B Instructwon 6 · lost 3
Grok 4.1 Fastwon 6 · lost 3
Gemma 4 31Bwon 7 · lost 4
Kimi K2.7 Codewon 5 · lost 3
Phi-3 Mini 128K Instructwon 5 · lost 3
Phi-3 Mini 4K Instructwon 5 · lost 3
Phi-3 Small 8K Instructwon 5 · lost 3
Gemma 2 9B ITwon 5 · lost 3
Jamba 1.5 Largewon 5 · lost 3
Llama 3.3 70B Instructwon 5 · lost 3
Qwen3 30B A3B Instructwon 5 · lost 3
Mistral Small 3 24B Instructwon 5 · lost 4
Command R+won 5 · lost 4
Llama 3.1 70B Instructwon 5 · lost 4
Llama 3.1 405B Instructwon 5 · lost 4
QwQ 32Bwon 5 · lost 4
Gemini 1.5 Prowon 5 · lost 4
Gemini 2.0 Flash-Litewon 5 · lost 4
Grok Build 0.1won 4 · lost 4
Llama 2 7B Chatwon 4 · lost 4
Llama 2 13B Chatwon 4 · lost 4
Aya Expanse 8Bwon 4 · lost 4
Amazon Nova Prowon 4 · lost 4
Llama 3.1 Nemotron 70B Instructwon 4 · lost 4
Gemma 3 12B ITwon 4 · lost 4
Mercury 2won 4 · lost 4
NVIDIA Nemotron 3 Super 120B A12Bwon 4 · lost 4
Gemma 4 26B A4Bwon 4 · lost 4
GLM-4.5won 5 · lost 5
DeepSeek V3.1won 5 · lost 5
Grok 4.3won 5 · lost 5
Gemini 3.6 Flashwon 5 · lost 5
GPT-4o miniwon 6 · lost 7
Llama 4 Scout Instructwon 5 · lost 6
NVIDIA Nemotron 3 Ultra 550B A55Bwon 5 · lost 6
MiniMax M3won 5 · lost 6
DeepSeek V4 Flashwon 5 · lost 6
MiMo V2.6 Flashwon 5 · lost 6
DeepSeek V4 Prowon 5 · lost 6
GLM-5.3 Flashwon 5 · lost 6
Qwen2.5 72B Instructwon 4 · lost 5
Gemini 1.5 Flashwon 4 · lost 5
MiMo V2.5 Prowon 4 · lost 5
GPT-4.1 nanowon 5 · lost 7
Grok 3won 5 · lost 7
Grok 4won 5 · lost 7
Kimi K2.6won 4 · lost 6
Qwen3.7 Maxwon 4 · lost 6
Gemini 3.5 Flashwon 4 · lost 6
DeepSeek V3won 5 · lost 8
DeepSeek R1won 5 · lost 8
Gemini 2.5 Prowon 5 · lost 8
Nova Premierwon 3 · lost 5
Llama 2 70B Chatwon 3 · lost 5
Phi 4won 3 · lost 5
Aya Expanse 32Bwon 3 · lost 5
GPT-4won 3 · lost 5
Granite 4.0 H Smallwon 3 · lost 5
Qwen Maxwon 3 · lost 5
Qwen3.5 35B A3Bwon 3 · lost 5
Qwen3.5 27Bwon 3 · lost 5
Qwen3 VL 235B A22B Instructwon 3 · lost 5
Qwen3.5 122B A10Bwon 3 · lost 5
GPT OSS 20Bwon 4 · lost 7
Gemma 3 27B ITwon 4 · lost 7
Mistral Large 4won 4 · lost 7
DeepSeek V3.2won 4 · lost 7
GLM-4.6won 4 · lost 7
Kimi K2.5won 4 · lost 7
GPT-5.6 Lunawon 4 · lost 7
GLM-5.2won 4 · lost 7
MiMo V2.6 Prowon 4 · lost 7
Kimi K2 Thinkingwon 3 · lost 6
GLM-5.1won 3 · lost 6
Llama 4 Maverick Instructwon 4 · lost 8
Gemini 2.0 Flashwon 4 · lost 8
Claude Sonnet 4.5won 4 · lost 8
Gemini 2.5 Flashwon 4 · lost 9
MiniMax M2won 3 · lost 7
Claude Haiku 4.5won 3 · lost 7
Qwen3.5 397B A17Bwon 3 · lost 7
GPT-6 Solwon 3 · lost 7
Claude Opus 5won 3 · lost 7
Llama 3 70B Instructwon 3 · lost 8
GPT-4owon 3 · lost 8
GPT-6 Lunawon 3 · lost 8
Grok 4.6won 3 · lost 8
Grok 4.5won 3 · lost 8
GPT-5.6 Terrawon 3 · lost 8
GPT-5.4won 3 · lost 8
GPT-5.5won 3 · lost 8
Qwen3.8 Maxwon 3 · lost 8
GPT-5.6 Solwon 3 · lost 8
Gemini 3.8 Flashwon 3 · lost 8
Claude Opus 5.5won 3 · lost 8
Gemma 2 27B ITwon 2 · lost 6
Claude Sonnet 4.6won 2 · lost 6
GPT OSS 120Bwon 3 · lost 9
GPT-4.1 miniwon 3 · lost 9
GPT-4.1won 3 · lost 9
Kimi K2won 3 · lost 9
O4 Miniwon 3 · lost 10
Qwen3 235B A22B Instructwon 3 · lost 10
Claude Opus 4won 3 · lost 10
MiniMax M2.7won 2 · lost 7
Gemini 3 Prowon 2 · lost 7
O1 Miniwon 2 · lost 8
O3 Miniwon 2 · lost 8
Claude 3.7 Sonnetwon 2 · lost 8
GPT-5.1won 2 · lost 8
GPT-4 Turbowon 2 · lost 9
GPT-5.2won 2 · lost 9
Grok 4.7won 2 · lost 9
Inklingwon 2 · lost 9
Claude Opus 4.8won 2 · lost 9
O3won 2 · lost 11
Qwen2 72B Instructwon 1 · lost 7
Claude 3.5 Haikuwon 1 · lost 7
Qwen3 Next 80B A3B Thinkingwon 1 · lost 7
GLM-4.5 Airwon 1 · lost 7
Gemini 2.5 Flash-Litewon 1 · lost 7
Hy3won 1 · lost 7
Claude Opus 4.6won 1 · lost 8
Grok 3 Miniwon 1 · lost 9
O1won 1 · lost 9
Muse Spark 1.1won 1 · lost 9
GPT-5 nanowon 1 · lost 10
Claude 3.5 Sonnetwon 1 · lost 10
Claude Opus 4.7won 1 · lost 10
GPT-5 miniwon 1 · lost 11
GPT-5won 1 · lost 11
Claude Sonnet 4won 1 · lost 12
Claude 3 Sonnetwon 0 · lost 9
Claude 3 Opuswon 0 · lost 9
Claude Sonnet 5won 0 · lost 10

§ 3 · Sources

Where the numbers come from

5 publications, 14 figures. Every one links to the page it was read from.

LMArena Text ↗1 measureread 2026-11-11
LMArena Text 1262
LiveCodeBench ↗1 measureread 2026-11-11
LiveCodeBench 20.2%
Kagi LLM Benchmark ↗1 measureread 2026-11-11
Kagi LLM Benchmark 34.2%
HELM Safety ↗5 measuresread 2026-11-11
HELM Safety · HarmBench 91.3%HELM Safety · SimpleSafetyTests 100%HELM Safety · Anthropic Red Team 100%HELM Safety · BBQ 62.5%HELM Safety · XSTest 85.3%
Enkrypt AI Safety Leaderboard ↗6 measuresread 2026-11-11
Enkrypt · Jailbreak risk 4.1%Enkrypt · Harmful content risk 12.8%Enkrypt · CBRN risk 7.3%Enkrypt · Toxicity risk 0.6%Enkrypt · Bias risk 87.1%Enkrypt · Insecure code risk 22.7%

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