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Claude Haiku 4.5

Anthropic

Strongest in Tool use (#6 of 81), weakest in Secure code (#194 of 270). Above par in 11 of 26 scopes. Among the models it meets almost everywhere, it finishes behind Claude Sonnet 5 and Claude Fable 5 and ahead of DeepSeek V3 and Mistral Large 3.

§ 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.

Safety55.4#44/329
Jailbreak resistance61.8#25/268
Harm refusal57.6#27/292
Toxicity avoidance57.4#41/268
Fairness57.1#49/292
Factual grounding50.4#57/104
Safe-prompt compliance47.9#61/82
Secure code44.9#194/270
Agents53.2#77/298
Tool use72.4#6/81
Knowledge work45.3#122/208
Reasoning48.9#107/195
Mathematics54.4#62/152
Science47.3#84/122
Reasoning42.7#102/147
Human preference58#119/354
Human preference58#119/354
Professional46.3#143/194
Medical47#103/149
Finance46.3#116/162
Legal44.5#123/173
Knowledge45.8#147/197
Document parsing45.5#56/83
Academic knowledge46.9#93/123
Coding40.8#162/179
Agentic coding40.3#158/173

§ 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 Haiku 4.5, left for the other.

Gemini 1.5 Prowon 18 · lost 1
Magistral Small 1.2won 16 · lost 1
Gemini 1.5 Flashwon 16 · lost 1
Command R+won 16 · lost 2
Llama 4 Scout Instructwon 20 · lost 3
GPT-4o miniwon 19 · lost 3
Llama 3.3 70B Instructwon 18 · lost 3
GPT-4.1 nanowon 20 · lost 4
GPT OSS 20Bwon 16 · lost 4
Command Awon 17 · lost 5
Gemini 2.0 Flashwon 14 · lost 7
GPT-4owon 16 · lost 8
Claude 3.5 Haikuwon 13 · lost 7
Gemma 4 31Bwon 13 · lost 7
GPT-5 nanowon 14 · lost 8
GPT-4.1 miniwon 15 · lost 9
Gemini 2.5 Flash-Litewon 11 · lost 7
O3 Miniwon 13 · lost 10
DeepSeek R1won 13 · lost 10
Mistral Large 3won 10 · lost 8
DeepSeek V3won 13 · lost 11
Grok 3won 11 · lost 11
O4 Miniwon 12 · lost 12
Kimi K2won 12 · lost 12
Grok 4.3won 10 · lost 11
MiMo V2.5 Prowon 10 · lost 11
GLM-4.5won 8 · lost 9
GPT OSS 120Bwon 11 · lost 13
Gemini 2.5 Flashwon 11 · lost 13
GPT-5.4 nanowon 8 · lost 11
Mistral Large 4won 8 · lost 11
MiMo V2.6 Prowon 8 · lost 11
Grok 4won 9 · lost 14
Grok 4.1 Fastwon 9 · lost 14
Ling 3.0 Flashwon 7 · lost 11
MiniMax M2.1won 6 · lost 10
Grok 4 Fastwon 6 · lost 10
GPT-4.1won 9 · lost 15
Qwen3 235B A22B Instructwon 9 · lost 15
Claude 3.7 Sonnetwon 8 · lost 14
Kimi K2.5won 8 · lost 15
Grok 3 Miniwon 6 · lost 12
GLM-4.7won 6 · lost 12
MiMo V2.6 Flashwon 6 · lost 12
GPT-6 Lunawon 7 · lost 14
Claude Sonnet 4won 8 · lost 16
MiniMax M2.7won 7 · lost 15
MiniMax M3won 7 · lost 15
Kimi K2.6won 7 · lost 15
GLM-5.1won 7 · lost 15
Qwen3.7 Maxwon 7 · lost 15
Qwen3.8 Maxwon 7 · lost 15
Inkling Smallwon 5 · lost 11
GPT-5 miniwon 8 · lost 18
DeepSeek V3.2won 7 · lost 16
GLM-5.3 Flashwon 7 · lost 16
Gemini 3.5 Flashwon 7 · lost 16
Gemini 3.6 Flashwon 7 · lost 16
Gemini 3.8 Flashwon 7 · lost 16
Claude 3.5 Sonnetwon 6 · lost 14
GPT-5.4 miniwon 5 · lost 12
O1won 6 · lost 15
Kimi K2 Thinkingwon 5 · lost 13
Gemini 3.1 Flash-Litewon 5 · lost 13
DeepSeek V4 Flashwon 6 · lost 16
Grok 4.5won 6 · lost 16
GLM-5.2won 6 · lost 16
Gemini 3.1 Prowon 5 · lost 14
GPT-5.6 Lunawon 6 · lost 17
DeepSeek V4 Prowon 6 · lost 17
Gemini 2.5 Prowon 6 · lost 18
GPT-5.6 Solwon 6 · lost 18
Claude Sonnet 4.6won 5 · lost 16
Qwen3.8 27Bwon 4 · lost 13
Gemini 3.5 Flash-Litewon 4 · lost 13
Claude Opus 4won 5 · lost 17
GPT-6 Solwon 5 · lost 17
GLM-4.6won 5 · lost 18
GPT-5.2won 5 · lost 18
GPT-5.4won 5 · lost 19
Claude Opus 4.6won 4 · lost 16
MiniMax M2.5won 3 · lost 13
Inklingwon 4 · lost 18
Grok 4.6won 4 · lost 18
O3won 4 · lost 19
Grok 4.7won 3 · lost 15
GPT-5.1won 4 · lost 20
GPT-5.5won 4 · lost 20
Claude Sonnet 4.5won 4 · lost 21
Gemini 3 Prowon 3 · lost 18
Claude Opus 5won 3 · lost 19
Claude Opus 5.5won 3 · lost 19
GPT-5.6 Terrawon 3 · lost 20
GLM-5won 2 · lost 14
GPT-5won 3 · lost 21
Claude Opus 4.7won 3 · lost 21
Gemini 3 Flashwon 2 · lost 15
DeepSeek V4.1 Flashwon 2 · lost 15
Claude Opus 4.5won 2 · lost 16
Muse Spark 1.1won 2 · lost 19
GLM-5.3won 1 · lost 15
Kimi K3won 1 · lost 15
GPT-6 Astrawon 1 · lost 16
Gemini 3.7 Flashwon 1 · lost 16
Claude Opus 4.8won 1 · lost 22
Claude Fable 5.1won 0 · lost 17
Claude Fable 5won 0 · lost 17
Claude Sonnet 5won 0 · lost 23

§ 3 · Sources

Where the numbers come from

10 publications, 39 figures. Every one links to the page it was read from.

LMArena Text ↗1 measureread 2026-11-10
LMArena Text 1414
GDPval-AA ↗1 measureread 2026-11-10
GDPval-AA 740
AA-Briefcase ↗1 measureread 2026-11-10
AA-Briefcase 617
ARC-AGI-2 ↗1 measureread 2026-11-10
ARC-AGI-2 4%
BFCL ↗1 measureread 2026-11-10
BFCL v4 68.7%
Vals.ai ↗16 measuresread 2026-11-10
Vals · Legal Research Bench 10.58%Vals · CaseLaw 56.48%Vals · LegalBench 81.24%Vals · Finance Agent 31.01%Vals · CorpFin 60.61%Vals · TaxEval 67.54%Vals · MortgageTax 62.16%Vals · MedQA 79.57%Vals · MedCode 32.68%Vals · MedScribe 85.23%Vals · SWE-bench Verified 66.6% (Mini-SWE-agent)Vals · Vibe Code Bench 11.39% (OpenHands)Vals · Code Migration 7.55%Vals · GPQA Diamond 72.22%Vals · MMLU Pro 78.72%Vals · AIME 82.71%
ParseBench ↗6 measuresread 2026-11-10
ParseBench · Overall 51.21%ParseBench · Tables 78.53%ParseBench · Charts 27.78%ParseBench · Content faithfulness 83.1%ParseBench · Semantic formatting 55.53%ParseBench · Visual grounding 11.11%
HELM Safety ↗5 measuresread 2026-11-10
HELM Safety · HarmBench 95.9%HELM Safety · SimpleSafetyTests 98.8%HELM Safety · Anthropic Red Team 96.9%HELM Safety · BBQ 92.8%HELM Safety · XSTest 93.2%
Enkrypt AI Safety Leaderboard ↗6 measuresread 2026-11-10
Enkrypt · Jailbreak risk 2.9%Enkrypt · Harmful content risk 1.1%Enkrypt · CBRN risk 10.5%Enkrypt · Toxicity risk 1.1%Enkrypt · Bias risk 64.9%Enkrypt · Insecure code risk 43.6%
Vectara · Factual consistency 90.2%

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