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Claude Sonnet 4.5

Anthropic

Strongest in Tool use (#2 of 81), weakest in Secure code (#204 of 274). Above par in 23 of 28 scopes. Among the models it meets almost everywhere, it finishes behind Claude Opus 4.8 and Claude Fable 5 and ahead of Grok 4 and Qwen3.8 27B.

§ 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.

Knowledge56.4#31/138
Academic knowledge57.7#28/123
Safety56.5#32/337
Fairness65.1#24/300
Harm refusal57.6#26/300
Safe-prompt compliance55.1#34/82
Jailbreak resistance60#43/272
Toxicity avoidance57.1#47/272
Factual grounding44.9#76/101
Secure code42.7#204/274
Professional54.7#36/168
Medical55.8#30/140
Legal55.2#39/151
Finance54.1#58/151
Agents58#44/268
Tool use74#2/81
Computer use59.2#10/37
Knowledge work50.2#80/178
Human preference62.5#49/342
Human preference62.5#49/342
Reasoning52.4#73/178
Mathematics55.8#40/140
Science53.9#63/122
Reasoning48.9#66/140
Core abilities51.8#73/204
General intelligence52.5#74/204
Coding46.5#104/165
Agentic coding46#98/157

§ 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 Sonnet 4.5, left for the other.

Mistral Medium 3.5won 17 · lost 0
Gemini 1.5 Prowon 19 · lost 0
Mistral Large 3won 20 · lost 0
GPT-4.1 Nanowon 25 · lost 1
Llama 4 Scout Instructwon 24 · lost 1
GPT-4o Miniwon 23 · lost 1
Gemini 2.0 Flashwon 22 · lost 1
GPT OSS 20Bwon 21 · lost 1
Mistral Smallwon 20 · lost 1
GPT-5.4 Nanowon 19 · lost 1
GLM-4.5won 18 · lost 1
Command R Pluswon 17 · lost 1
Gemini 3.5 Flash Litewon 17 · lost 1
Gemini 1.5 Flashwon 16 · lost 1
Command Awon 22 · lost 2
Gemini 2.5 Flash Litewon 18 · lost 2
GPT OSS 120Bwon 23 · lost 3
Grok 4.3won 21 · lost 3
GPT-4owon 19 · lost 3
Grok 3won 18 · lost 3
Claude Haiku 4.5won 23 · lost 4
GPT-4.1 Miniwon 22 · lost 4
DeepSeek V3won 22 · lost 4
DeepSeek V3.2won 22 · lost 4
Mistral Largewon 16 · lost 3
GPT-5.4 Miniwon 16 · lost 3
Ling 3.0 Flashwon 15 · lost 3
Gemini 2.5 Flashwon 21 · lost 5
Kimi K2won 21 · lost 5
Kimi K2 Thinkingwon 16 · lost 4
Gemini 3.1 Flash Litewon 15 · lost 4
O3 Miniwon 18 · lost 5
Qwen3.6 Pluswon 14 · lost 4
O4 Miniwon 20 · lost 6
DeepSeek R1won 19 · lost 6
Qwen3 235B A22B Instructwon 19 · lost 6
GLM-4.6won 19 · lost 6
Claude 3.5 Haikuwon 15 · lost 5
Claude 3.7 Sonnetwon 17 · lost 6
Grok 4.1 Fastwon 17 · lost 6
Kimi K2.5won 19 · lost 7
Gemma 4 31Bwon 16 · lost 6
Inklingwon 18 · lost 7
GPT-6 Lunawon 15 · lost 6
Mimo V2.5 Prowon 16 · lost 7
GPT-4.1won 18 · lost 8
MiniMax M3won 18 · lost 8
Grok 4 Fastwon 12 · lost 6
GPT-5 Nanowon 16 · lost 8
DeepSeek V4 Flashwon 16 · lost 8
GPT-5.6 Lunawon 16 · lost 9
GLM-5.2won 16 · lost 9
Claude Sonnet 4won 17 · lost 10
Claude Opus 4won 15 · lost 9
O1won 13 · lost 8
MiniMax M2.7won 13 · lost 8
GPT-5 Miniwon 16 · lost 11
Qwen3.7 Maxwon 14 · lost 10
O3won 15 · lost 11
GLM-5won 10 · lost 8
Claude 3.5 Sonnetwon 11 · lost 9
GLM-5.1won 12 · lost 10
Gemini 2.5 Prowon 14 · lost 12
Kimi K2.6won 14 · lost 12
Qwen3.8 27Bwon 10 · lost 9
Grok 4won 13 · lost 12
GPT-6 Solwon 11 · lost 11
Gemini 3.6 Flashwon 11 · lost 13
Claude Sonnet 4.6won 10 · lost 14
GLM-5.3 Flashwon 10 · lost 14
Gemini 3.1 Prowon 8 · lost 12
DeepSeek V4 Prowon 10 · lost 15
GPT-5.6 Terrawon 10 · lost 15
GPT-5.1won 9 · lost 15
Grok 4.5won 9 · lost 15
Gemini 3.5 Flashwon 9 · lost 15
GPT-5.2won 9 · lost 16
GPT-5.4won 9 · lost 16
Gemini 3 Prowon 8 · lost 15
Grok 4.7won 7 · lost 14
Mimo V2.6 Prowon 6 · lost 13
DeepSeek V4.1 Flashwon 5 · lost 12
Grok 4.6won 7 · lost 17
Qwen3.8 Maxwon 7 · lost 17
Gemini 3.8 Flashwon 7 · lost 17
GPT-5.6 Solwon 7 · lost 18
GPT-5won 7 · lost 19
Claude Opus 4.5won 5 · lost 15
GPT-5.5won 6 · lost 19
GLM-5.3won 4 · lost 14
Claude Opus 4.6won 4 · lost 17
Claude Sonnet 5won 4 · lost 21
Muse Spark 1.1won 4 · lost 21
Claude Opus 5won 3 · lost 22
Claude Opus 4.7won 3 · lost 22
GPT-6 Astrawon 2 · lost 15
Gemini 3.7 Flashwon 2 · lost 16
Claude Opus 5.5won 2 · lost 19
Muse Spark 1.2won 1 · lost 16
Kimi K3won 1 · lost 17
Claude Fable 5.1won 0 · lost 18
Claude Fable 5won 0 · lost 19
Claude Opus 4.8won 0 · lost 24

§ 3 · Sources

Where the numbers come from

12 publications, 33 figures. Every one links to the page it was read from.

LMArena Text ↗1 measureread 2026-09-26
LMArena Text 1457
GDPval-AA ↗1 measureread 2026-09-26
GDPval-AA 893
AA-Briefcase ↗1 measureread 2026-09-26
AA-Briefcase 713
ARC-AGI-2 ↗1 measureread 2026-09-26
ARC-AGI-2 13.6%
BFCL ↗1 measureread 2026-09-26
BFCL v4 73.24%
OSWorld ↗1 measureread 2026-09-26
OSWorld 62.9%
Kagi LLM Benchmark ↗1 measureread 2026-09-26
Kagi LLM Benchmark 57.9%
SimpleBench ↗1 measureread 2026-09-26
SimpleBench 54.3%
Vals.ai ↗13 measuresread 2026-09-26
Vals · CaseLaw 62.16%Vals · LegalBench 84.08%Vals · CorpFin 61.97%Vals · TaxEval 73.3%Vals · MortgageTax 63.99%Vals · MedQA 94.71%Vals · MedCode 44.13%Vals · MedScribe 84.1%Vals · SWE-bench Verified 70% (Mini-SWE-agent)Vals · Vibe Code Bench 22.62% (OpenHands)Vals · GPQA Diamond 81.63%Vals · MMLU Pro 87.36%Vals · AIME 88.19%
HELM Safety ↗5 measuresread 2026-09-26
HELM Safety · HarmBench 92%HELM Safety · SimpleSafetyTests 100%HELM Safety · Anthropic Red Team 98.2%HELM Safety · BBQ 98.9%HELM Safety · XSTest 96.4%
Enkrypt AI Safety Leaderboard ↗6 measuresread 2026-09-26
Enkrypt · Jailbreak risk 4.3%Enkrypt · Harmful content risk 0.6%Enkrypt · CBRN risk 13%Enkrypt · Toxicity risk 1.3%Enkrypt · Bias risk 52.5%Enkrypt · Insecure code risk 48.4%
Vectara · Factual consistency 88%

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