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Claude 3.5 Sonnet

Anthropic

Strongest in Harm refusal (#1 of 300), weakest in Secure code (#155 of 274). Above par in 12 of 22 scopes. Among the models it meets almost everywhere, it finishes behind Claude Fable 5 and Claude Fable 5.1 and ahead of DeepSeek V3.2 and Kimi K2 Thinking.

§ 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.

Safety60.3#5/337
Harm refusal61.6#1/300
Jailbreak resistance64.9#1/272
Toxicity avoidance58.8#8/272
Fairness65.2#23/300
Safe-prompt compliance53.3#43/82
Secure code50.3#155/274
Knowledge59.1#9/138
Multimodal understanding71.6#2/19
Academic knowledge46.5#95/123
Professional49.7#83/168
Medical49.8#81/140
Finance49.5#91/151
Coding47.2#94/165
Agentic coding51.8#60/157
Code generation39.8#62/77
Human preference54.5#146/342
Human preference54.5#146/342
Reasoning39.8#154/178
Reasoning46.1#76/140
Science38.3#101/122
Mathematics35#130/140

§ 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 3.5 Sonnet, left for the other.

Jamba 1.6 Miniwon 14 · lost 0
Jamba 1.6 Largewon 14 · lost 0
Command R Pluswon 16 · lost 0
Mistral Smallwon 16 · lost 0
Gemini 1.5 Prowon 18 · lost 1
Llama 4 Scout Instructwon 17 · lost 1
Command Awon 17 · lost 1
Claude 3.5 Haikuwon 16 · lost 1
Mistral Largewon 15 · lost 1
Gemini 2.0 Flashwon 18 · lost 2
Gemini 1.5 Flashwon 14 · lost 2
GPT-4o Miniwon 19 · lost 3
GPT-4.1 Nanowon 17 · lost 3
GPT-4owon 17 · lost 5
GPT OSS 20Bwon 13 · lost 4
Ling 3.0 Flashwon 11 · lost 4
GPT-4 Turbowon 11 · lost 4
GPT-5 Nanowon 13 · lost 5
Claude Haiku 4.5won 14 · lost 6
GPT-5.4 Nanowon 10 · lost 5
GPT OSS 120Bwon 13 · lost 7
Grok 4.3won 13 · lost 7
DeepSeek V3won 13 · lost 8
O1 Miniwon 9 · lost 6
Grok 4.1 Fastwon 11 · lost 8
Gemini 3.5 Flash Litewon 8 · lost 6
O3 Miniwon 12 · lost 9
MiniMax M3won 11 · lost 9
Kimi K2 Thinkingwon 9 · lost 8
DeepSeek V3.2won 10 · lost 9
Gemini 2.5 Flash Litewon 7 · lost 7
GPT-5.4 Miniwon 7 · lost 7
Gemma 4 31Bwon 8 · lost 8
MiniMax M2.7won 9 · lost 9
GLM-4.6won 9 · lost 9
Mimo V2.5 Prowon 9 · lost 9
DeepSeek R1won 10 · lost 10
Claude Sonnet 4won 10 · lost 11
Kimi K2.5won 9 · lost 10
GLM-5.1won 9 · lost 10
Grok 3won 8 · lost 9
GPT-4.1 Miniwon 9 · lost 11
GPT-5 Miniwon 9 · lost 11
Kimi K2won 9 · lost 11
Inklingwon 9 · lost 11
Claude Sonnet 4.5won 9 · lost 11
Kimi K2.6won 9 · lost 11
Qwen3.7 Maxwon 9 · lost 11
GLM-4.5won 7 · lost 9
Mistral Large 3won 6 · lost 8
Qwen3.6 Pluswon 6 · lost 8
Mimo V2.6 Flashwon 6 · lost 8
Grok 4won 8 · lost 12
GPT-5.1won 8 · lost 12
O4 Miniwon 8 · lost 13
Gemini 2.5 Prowon 8 · lost 13
Grok 4 Fastwon 5 · lost 9
Mimo V2.6 Prowon 5 · lost 9
Claude 3.7 Sonnetwon 7 · lost 13
O1won 7 · lost 13
GPT-4.1won 7 · lost 13
Qwen3 235B A22B Instructwon 7 · lost 13
GPT-5.2won 7 · lost 13
DeepSeek V4 Flashwon 7 · lost 13
DeepSeek V4 Prowon 7 · lost 13
Grok 4.5won 7 · lost 13
Gemini 3.5 Flashwon 7 · lost 13
Gemini 3.6 Flashwon 7 · lost 13
Claude Opus 4.6won 6 · lost 12
Gemini 2.5 Flashwon 7 · lost 14
GPT-5.6 Solwon 7 · lost 14
GPT-5.6 Lunawon 6 · lost 14
GPT-5.6 Terrawon 6 · lost 14
GLM-5.3 Flashwon 6 · lost 14
GPT-5.4won 6 · lost 14
GLM-5.2won 6 · lost 14
Qwen3.8 Maxwon 6 · lost 14
GPT-5.5won 6 · lost 14
Claude Opus 4.7won 6 · lost 14
GPT-6 Lunawon 5 · lost 12
GPT-6 Solwon 5 · lost 12
Gemini 3 Prowon 5 · lost 12
GLM-5won 4 · lost 10
Gemini 3 Flashwon 4 · lost 10
Claude Opus 4won 6 · lost 15
O3won 6 · lost 15
Claude Sonnet 4.6won 5 · lost 13
Claude Opus 4.5won 4 · lost 11
GPT-5won 5 · lost 15
Grok 4.6won 5 · lost 15
Claude Opus 4.8won 5 · lost 15
Muse Spark 1.1won 5 · lost 15
Gemini 3.8 Flashwon 5 · lost 15
Claude Opus 5won 5 · lost 16
Grok 4.7won 4 · lost 13
Gemini 3.1 Prowon 3 · lost 12
Claude Sonnet 5won 4 · lost 16
Claude Opus 5.5won 3 · lost 14
Qwen3.8 27Bwon 2 · lost 12
DeepSeek V4.1 Flashwon 2 · lost 12
Kimi K3won 2 · lost 13
GLM-5.3won 1 · lost 13
Gemini 3.7 Flashwon 0 · lost 14
Claude Fable 5.1won 0 · lost 14
Claude Fable 5won 0 · lost 14

§ 3 · Sources

Where the numbers come from

8 publications, 23 figures. Every one links to the page it was read from.

LMArena Text ↗1 measureread 2026-09-26
LMArena Text 1374
LiveCodeBench ↗1 measureread 2026-09-26
LiveCodeBench 36.4%
Aider polyglot ↗1 measureread 2026-09-26
Aider polyglot 51.6%
MMMU-Pro ↗1 measureread 2026-09-26
MMMU-Pro 51.5%
SimpleBench ↗1 measureread 2026-09-26
SimpleBench 41.4%
Vals.ai ↗7 measuresread 2026-09-26
Vals · CorpFin 53.61%Vals · TaxEval 70.16%Vals · MortgageTax 64.07%Vals · MedQA 83.19%Vals · GPQA Diamond 59.34%Vals · MMLU Pro 78.4%Vals · AIME 10%
HELM Safety ↗5 measuresread 2026-09-26
HELM Safety · HarmBench 98.1%HELM Safety · SimpleSafetyTests 100%HELM Safety · Anthropic Red Team 99.8%HELM Safety · BBQ 94.9%HELM Safety · XSTest 95.6%
Enkrypt AI Safety Leaderboard ↗6 measuresread 2026-09-26
Enkrypt · Jailbreak risk 0.2%Enkrypt · Harmful content risk 0%Enkrypt · CBRN risk 1.8%Enkrypt · Toxicity risk 0.1%Enkrypt · Bias risk 35.4%Enkrypt · Insecure code risk 32.9%

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