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Claude 3.7 Sonnet

Anthropic

Strongest in Jailbreak resistance (#2 of 268), weakest in Secure code (#222 of 270). Above par in 15 of 23 scopes. Among the models it meets almost everywhere, it finishes behind Claude Fable 5 and Claude Fable 5.1 and ahead of DeepSeek V4 Flash and Grok 4.1 Fast.

§ 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.

Coding54.5#43/179
Agentic coding55#39/173
Safety55.2#49/329
Jailbreak resistance64.4#2/268
Harm refusal58.9#17/292
Toxicity avoidance58#31/268
Safe-prompt compliance55.1#34/82
Fairness49.3#123/292
Secure code37.9#222/270
Professional53.6#51/194
Finance54.7#53/162
Medical53.6#59/149
Legal53.2#64/173
Knowledge50.8#104/197
Academic knowledge51.9#73/123
Reasoning45.2#140/195
Science49.4#78/122
Reasoning43.7#96/147
Mathematics44.2#111/152
Human preference55.5#145/354
Human preference55.5#145/354
Agents47.7#167/298
Computer use45.4#45/68

§ 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 3.7 Sonnet, left for the other.

Jamba 1.6 Miniwon 15 · lost 0
Command R+won 17 · lost 0
Llama 3.3 70B Instructwon 18 · lost 0
Llama 4 Scout Instructwon 20 · lost 0
GPT-4.1 nanowon 21 · lost 1
GPT-4o miniwon 20 · lost 1
Gemini 1.5 Flashwon 16 · lost 1
Jamba 1.6 Largewon 14 · lost 1
Llama 3.1 405B Instructwon 13 · lost 1
Gemini 2.0 Flashwon 19 · lost 2
Gemini 1.5 Prowon 17 · lost 2
Magistral Small 1.2won 14 · lost 2
Mistral Large 3won 14 · lost 2
Mistral Medium 3.5won 12 · lost 2
Command Awon 17 · lost 3
GPT-4.1 miniwon 18 · lost 4
GPT OSS 20Bwon 15 · lost 4
Gemma 4 31Bwon 14 · lost 4
GPT-4owon 17 · lost 5
Ling 3.0 Flashwon 13 · lost 4
Gemini 2.5 Flash-Litewon 12 · lost 4
Claude 3.5 Haikuwon 14 · lost 5
GPT-4 Turbowon 11 · lost 4
DeepSeek V3won 16 · lost 6
O1 Miniwon 10 · lost 4
Grok 3won 14 · lost 6
GPT OSS 120Bwon 15 · lost 7
Kimi K2won 15 · lost 7
MiniMax M2.1won 10 · lost 5
Grok 3 Miniwon 12 · lost 6
GLM-4.6won 13 · lost 7
GLM-4.5won 11 · lost 6
O3 Miniwon 14 · lost 8
Claude Haiku 4.5won 14 · lost 8
MiniMax M2.5won 9 · lost 6
Grok 4 Fastwon 9 · lost 6
Gemini 3.1 Flash-Litewon 9 · lost 6
GPT-5 nanowon 12 · lost 8
Claude 3.5 Sonnetwon 12 · lost 8
GPT-5.4 nanowon 9 · lost 7
MiniMax M2.7won 11 · lost 9
Grok 4.3won 11 · lost 9
MiMo V2.5 Prowon 11 · lost 9
O4 Miniwon 12 · lost 10
Qwen3 235B A22B Instructwon 12 · lost 10
Gemini 3.5 Flash-Litewon 8 · lost 7
Grok 4.1 Fastwon 11 · lost 10
DeepSeek V4 Flashwon 11 · lost 10
MiMo V2.5won 7 · lost 7
Qwen3.8 27Bwon 8 · lost 8
Kimi K2 Thinkingwon 9 · lost 9
GPT-4.1won 11 · lost 11
Kimi K2.5won 11 · lost 11
DeepSeek R1won 10 · lost 11
DeepSeek V3.2won 10 · lost 11
Kimi K2.6won 10 · lost 11
GLM-5.1won 10 · lost 11
Qwen3.7 Maxwon 10 · lost 11
GLM-5.2won 10 · lost 11
MiMo V2.6 Flashwon 8 · lost 9
Inkling Smallwon 7 · lost 8
Gemini 2.5 Flashwon 10 · lost 12
Grok 4won 10 · lost 12
MiniMax M3won 10 · lost 12
GPT-6 Lunawon 9 · lost 11
GLM-4.7won 7 · lost 9
Qwen3.5 Flashwon 6 · lost 8
Qwen3.6 Pluswon 6 · lost 8
Grok 4.20won 6 · lost 8
Inklingwon 9 · lost 12
Gemini 3.6 Flashwon 9 · lost 12
Mistral Large 4won 8 · lost 11
MiMo V2.6 Prowon 8 · lost 11
GLM-5.3 Flashwon 9 · lost 13
Qwen3.8 Maxwon 9 · lost 13
GPT-5.4 miniwon 6 · lost 9
GLM-5won 6 · lost 9
Claude Sonnet 4won 9 · lost 14
O1won 8 · lost 13
GPT-5.6 Lunawon 8 · lost 13
DeepSeek V4 Prowon 8 · lost 13
Grok 4.5won 8 · lost 13
Gemini 3.5 Flashwon 8 · lost 13
Gemini 3.8 Flashwon 8 · lost 14
Gemini 3 Flashwon 5 · lost 10
Claude Opus 4won 7 · lost 14
GPT-5.4won 7 · lost 14
GPT-5 miniwon 7 · lost 15
Gemini 2.5 Prowon 7 · lost 15
GPT-6 Solwon 6 · lost 13
Gemini 3.1 Prowon 5 · lost 11
Claude Opus 4.6won 5 · lost 13
GPT-5.1won 6 · lost 16
Claude Sonnet 4.5won 6 · lost 16
Gemini 3 Prowon 5 · lost 14
Claude Sonnet 4.6won 5 · lost 15
GPT-5.2won 5 · lost 16
GPT-5won 5 · lost 17
O3won 5 · lost 18
Claude Haiku 5.5won 3 · lost 11
Grok 4.7won 4 · lost 15
GPT-6 Astrawon 3 · lost 12
DeepSeek V4.1 Flashwon 3 · lost 12
Gemini 3.7 Flashwon 3 · lost 12
GPT-5.5won 4 · lost 17
GPT-5.6 Solwon 4 · lost 17
Claude Opus 4.7won 4 · lost 17
Claude Opus 4.5won 3 · lost 13
GPT-5.6 Terrawon 4 · lost 18
Claude Opus 5.5won 3 · lost 17
GPT-6.1 Solwon 2 · lost 12
Muse Sparkwon 2 · lost 12
Claude Sonnet 5won 3 · lost 18
Muse Spark 1.1won 3 · lost 18
Grok 4.6won 3 · lost 19
Claude Opus 5won 3 · lost 19
Kimi K3won 2 · lost 14
Gemini 4 Argonwon 1 · lost 13
Claude Opus 4.8won 1 · lost 19
Claude Sonnet 5.5won 0 · lost 14
Muse Spark 1.2won 0 · lost 14
GLM-5.3won 0 · lost 15
Claude Fable 5.1won 0 · lost 16
Claude Fable 5won 0 · lost 16

§ 3 · Sources

Where the numbers come from

8 publications, 24 figures. Every one links to the page it was read from.

LMArena Text ↗1 measureread 2026-11-10
LMArena Text 1388
ARC-AGI-2 ↗1 measureread 2026-11-10
ARC-AGI-2 0.7%
Aider polyglot ↗1 measureread 2026-11-10
Aider polyglot 64.9%
OSWorld ↗1 measureread 2026-11-10
OSWorld 35.8%
SimpleBench ↗1 measureread 2026-11-10
SimpleBench 46.4%
Vals.ai ↗8 measuresread 2026-11-10
Vals · LegalBench 82.52%Vals · CorpFin 60.41%Vals · TaxEval 74.04%Vals · MortgageTax 66.85%Vals · MedQA 90.22%Vals · GPQA Diamond 75.25%Vals · MMLU Pro 82.73%Vals · AIME 44.58%
HELM Safety ↗5 measuresread 2026-11-10
HELM Safety · HarmBench 84.3%HELM Safety · SimpleSafetyTests 100%HELM Safety · Anthropic Red Team 99.7%HELM Safety · BBQ 92.1%HELM Safety · XSTest 96.4%
Enkrypt AI Safety Leaderboard ↗6 measuresread 2026-11-10
Enkrypt · Jailbreak risk 0.7%Enkrypt · Harmful content risk 1.7%Enkrypt · CBRN risk 4.8%Enkrypt · Toxicity risk 0.7%Enkrypt · Bias risk 84%Enkrypt · Insecure code risk 57.8%

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