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Claude 3.5 Sonnet

Anthropic

Strongest in Harm refusal (#1 of 292), weakest in Reasoning (#170 of 195). Above par in 12 of 22 scopes. Among the models it meets almost everywhere, it finishes behind Claude Sonnet 5 and Gemini 3.1 Pro and ahead of Inkling and NVIDIA Nemotron 3 Ultra 550B A55B.

§ 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#2/329
Harm refusal61.5#1/292
Jailbreak resistance65#1/268
Toxicity avoidance58.9#7/268
Fairness65.2#22/292
Safe-prompt compliance53.3#43/82
Secure code50.1#154/270
Knowledge55.7#33/197
Multimodal understanding71.6#2/19
Academic knowledge46.5#95/123
Professional49.7#102/194
Medical49.8#88/149
Finance49.5#101/162
Coding47.3#106/179
Code generation37.7#15/20
Agentic coding51.8#72/173
Human preference54.2#157/354
Human preference54.2#157/354
Reasoning39.6#170/195
Reasoning45.3#87/147
Science38.3#101/122
Mathematics35#141/152

§ 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+won 16 · lost 0
Gemini 1.5 Prowon 18 · lost 1
Command Awon 17 · lost 1
Llama 4 Scout Instructwon 16 · lost 1
Claude 3.5 Haikuwon 16 · lost 1
Llama 3.3 70B Instructwon 15 · lost 1
Gemini 2.0 Flashwon 18 · lost 2
Gemini 1.5 Flashwon 14 · lost 2
GPT-4o miniwon 19 · lost 3
Magistral Small 1.2won 12 · lost 2
GPT-4.1 nanowon 17 · lost 3
Llama 3.1 405B Instructwon 11 · 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
Gemma 4 31Bwon 11 · lost 4
GPT-5 nanowon 13 · lost 5
Claude Haiku 4.5won 14 · lost 6
O1 Miniwon 10 · lost 5
GPT OSS 120Bwon 13 · lost 7
GPT-5.4 nanowon 9 · lost 5
DeepSeek V3won 13 · lost 8
Grok 4.1 Fastwon 11 · lost 8
O3 Miniwon 12 · lost 9
MiniMax M2.7won 10 · lost 8
Grok 4.3won 10 · lost 8
MiMo V2.5 Prowon 10 · lost 8
Kimi K2 Thinkingwon 9 · lost 8
DeepSeek V3.2won 10 · lost 9
Inklingwon 10 · lost 9
Gemini 2.5 Flash-Litewon 7 · lost 7
MiniMax M2.1won 7 · lost 7
GLM-4.6won 9 · lost 9
DeepSeek R1won 10 · lost 10
Claude Sonnet 4won 10 · lost 11
MiniMax M3won 9 · lost 10
Kimi K2.5won 9 · lost 10
GLM-5.1won 9 · lost 10
Qwen3.7 Maxwon 9 · lost 10
GPT-4.1 miniwon 9 · lost 11
GPT-5 miniwon 9 · lost 11
Kimi K2won 9 · lost 11
Claude Sonnet 4.5won 9 · lost 11
Grok 3 Miniwon 8 · lost 10
Kimi K2.6won 8 · lost 10
GLM-4.5won 7 · lost 9
Mistral Large 3won 6 · lost 8
GLM-4.7won 6 · lost 8
GPT-6 Lunawon 7 · lost 10
MiMo V2.6 Flashwon 6 · lost 9
Claude 3.7 Sonnetwon 8 · lost 12
Grok 3won 8 · lost 12
Grok 4won 8 · lost 12
GPT-5.1won 8 · lost 12
O4 Miniwon 8 · lost 13
Gemini 2.5 Prowon 8 · lost 13
Mistral Large 4won 6 · lost 10
MiMo V2.6 Prowon 6 · lost 10
GPT-5.2won 7 · lost 12
DeepSeek V4 Flashwon 7 · lost 12
DeepSeek V4 Prowon 7 · lost 12
MiniMax M2.5won 5 · lost 9
Grok 4 Fastwon 5 · lost 9
Gemini 3 Prowon 6 · lost 11
Claude Opus 4.6won 6 · lost 11
O1won 7 · lost 13
GPT-4.1won 7 · lost 13
Gemini 2.5 Flashwon 7 · lost 14
Qwen3 235B A22B Instructwon 7 · lost 14
GPT-5.6 Lunawon 6 · lost 13
Grok 4.5won 6 · lost 13
GPT-5.6 Terrawon 6 · lost 13
GLM-5.3 Flashwon 6 · lost 13
GLM-5.2won 6 · lost 13
GPT-5.4won 6 · lost 13
Gemini 3.5 Flashwon 6 · lost 13
Gemini 3.6 Flashwon 6 · lost 13
Qwen3.8 Maxwon 6 · lost 13
Claude Opus 4.7won 6 · lost 13
Claude Sonnet 4.6won 5 · lost 11
GPT-5won 6 · lost 14
GPT-6 Solwon 5 · lost 12
GLM-5won 4 · lost 10
Claude Opus 4.5won 4 · lost 10
Claude Opus 4won 6 · lost 15
O3won 6 · lost 15
Muse Spark 1.1won 5 · lost 13
Grok 4.6won 5 · lost 14
GPT-5.5won 5 · lost 14
Claude Opus 4.8won 5 · lost 14
GPT-5.6 Solwon 5 · lost 14
Claude Opus 5won 5 · lost 14
Gemini 3.8 Flashwon 5 · lost 14
Grok 4.7won 4 · lost 12
Claude Opus 5.5won 4 · lost 13
Gemini 3 Flashwon 3 · lost 11
Gemini 3.1 Prowon 3 · lost 11
Claude Sonnet 5won 4 · lost 15

§ 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 2026-11-10
LMArena Text 1374
LiveCodeBench ↗1 measureread 2026-11-10
LiveCodeBench 36.4%
Aider polyglot ↗1 measureread 2026-11-10
Aider polyglot 51.6%
MMMU-Pro ↗1 measureread 2026-11-10
MMMU-Pro 51.5%
SimpleBench ↗1 measureread 2026-11-10
SimpleBench 41.4%
Vals.ai ↗7 measuresread 2026-11-10
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 2026-11-10
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 2026-11-10
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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