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The LLM benchmark aggregator.

GPT-4.5

OpenAI

Strongest in Harm refusal (#30 of 300, on 1 of its 2 boards), weakest in Reasoning (#136 of 178). Above par in 8 of 10 scopes. Among the models it meets almost everywhere, it finishes behind Claude Opus 5.5 and Muse Spark 1.1 and ahead of Qwen3.7 Max and GLM-5.1.

§ 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.

Safety54.7#58/337
Harm refusal57.3#30/300
Safe-prompt compliance52.2#52/82
Fairness52.7#86/300
Human preference61.3#68/342
Human preference61.3#68/342
Coding50.1#75/165
Agentic coding50.1#73/157
Reasoning43.7#136/178
Reasoning40.9#110/140

§ 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 GPT-4.5, left for the other.

DeepSeek LLM 67B Chatwon 6 · lost 0
DBRX Instructwon 6 · lost 0
Command Rwon 6 · lost 0
Gemini 2.0 Flash Litewon 6 · lost 0
Mistral Smallwon 6 · lost 0
Grok Build 0.1won 7 · lost 0
Gemini 1.5 Flashwon 7 · lost 0
Qwen Maxwon 7 · lost 0
QwQ 32Bwon 7 · lost 0
Gemma 3 27B Itwon 7 · lost 0
Mistral Large 3won 7 · lost 0
GPT-3.5 Turbowon 8 · lost 0
Command R Pluswon 8 · lost 0
Gemini 1.5 Prowon 8 · lost 0
Command Awon 8 · lost 0
MiniMax M3won 9 · lost 0
GPT-4o Miniwon 9 · lost 1
Gemini 2.0 Flashwon 9 · lost 1
Grok 4.3won 8 · lost 1
GLM-4.6won 7 · lost 1
Claude 3 Haikuwon 6 · lost 1
Ling 3.0 Flashwon 5 · lost 1
Gemma 4 E4Bwon 5 · lost 1
Gemma 4 12Bwon 5 · lost 1
Llama 3 8B Instructwon 5 · lost 1
Qwen1.5 72B Chatwon 5 · lost 1
Olmo 2 32B Instructwon 5 · lost 1
Llama 3 70B Instructwon 5 · lost 1
Mistral Largewon 5 · lost 1
Qwen3.5 Flashwon 5 · lost 1
Gemini 3.1 Flash Litewon 5 · lost 1
Qwen3.6 Pluswon 5 · lost 1
GPT-4.1 Nanowon 8 · lost 2
GPT-4owon 8 · lost 2
DeepSeek V3won 8 · lost 2
DeepSeek V3.2won 7 · lost 2
Grok 4.1 Fastwon 7 · lost 2
Llama 4 Scout Instructwon 6 · lost 2
Kimi K2.7 Codewon 5 · lost 2
Magistral Mediumwon 5 · lost 2
GPT OSS 20Bwon 5 · lost 2
MiniMax M2won 5 · lost 2
Grok 4 Fastwon 5 · lost 2
Grok 3won 5 · lost 2
GPT-5.4 Miniwon 5 · lost 2
O1 Miniwon 7 · lost 3
GPT OSS 120Bwon 7 · lost 3
GPT-4.1 Miniwon 7 · lost 3
Gemini 2.0 Prowon 4 · lost 2
Qwen2 72B Instructwon 4 · lost 2
Claude 3 Sonnetwon 4 · lost 2
GLM-4.5 Airwon 4 · lost 2
MiniMax M2.5won 4 · lost 2
Inkling Smallwon 4 · lost 2
GLM-4.5won 4 · lost 2
GLM-4.7won 4 · lost 2
Gemini 3.5 Flash Litewon 4 · lost 2
GPT-4 Turbowon 6 · lost 3
Claude 3 Opuswon 5 · lost 3
Claude 3.5 Haikuwon 5 · lost 3
MiniMax M2.7won 5 · lost 3
GPT-4.1won 6 · lost 4
Kimi K2 Thinkingwon 4 · lost 3
Gemini 2.5 Flash Litewon 4 · lost 3
GPT-5.4 Nanowon 4 · lost 3
DeepSeek V4 Flashwon 5 · lost 4
Kimi K2.5won 5 · lost 4
GLM-5.1won 5 · lost 4
Qwen3.7 Maxwon 5 · lost 4
Grok 3 Mini Betawon 4 · lost 4
Gemma 4 31Bwon 4 · lost 4
Mimo V2.5 Prowon 4 · lost 4
O3 Miniwon 5 · lost 5
O4 Miniwon 5 · lost 5
Grok 4won 5 · lost 5
Claude Haiku 4.5won 5 · lost 5
GPT-5.2won 4 · lost 5
GPT-6 Lunawon 4 · lost 5
Inklingwon 4 · lost 5
Kimi K2.6won 4 · lost 5
GLM-5won 3 · lost 4
Gemini 3 Flashwon 3 · lost 4
Claude Opus 4.5won 3 · lost 4
Gemini 3.1 Prowon 3 · lost 4
Claude 3.5 Sonnetwon 4 · lost 6
GPT-5 Miniwon 4 · lost 6
Gemini 2.5 Flashwon 4 · lost 6
Kimi K2won 4 · lost 6
DeepSeek R1won 4 · lost 6
Gemini 2.5 Prowon 4 · lost 6
Gemini 3 Prowon 4 · lost 6
Mimo V2.6 Flashwon 3 · lost 5
Mimo V2.6 Prowon 3 · lost 5
Grok 3 Betawon 2 · lost 4
MiniMax M2.1won 2 · lost 4
Qwen3.8 27Bwon 2 · lost 4
Qwen3.6 Maxwon 2 · lost 4
Grok 4.7won 3 · lost 6
GPT-5.6 Lunawon 3 · lost 6
DeepSeek V4 Prowon 3 · lost 6
Claude Sonnet 4.6won 3 · lost 6
GLM-5.3 Flashwon 3 · lost 6
GLM-5.2won 3 · lost 6
Gemini 3.5 Flashwon 3 · lost 6
Qwen3.8 Maxwon 3 · lost 6
Gemini 3.6 Flashwon 3 · lost 6
Claude 3.7 Sonnetwon 3 · lost 7
Claude Sonnet 4won 3 · lost 7
Claude Opus 4won 3 · lost 7
GPT-5 Nanowon 2 · lost 6
GPT-6 Solwon 2 · lost 7
GPT-5.4won 2 · lost 7
GPT-5.6 Solwon 2 · lost 7
Gemini 3.8 Flashwon 2 · lost 7
Claude Opus 4.6won 2 · lost 7
O1won 2 · lost 8
O3won 2 · lost 8
GPT-5won 2 · lost 8
GPT-5.1won 2 · lost 8
Claude Sonnet 4.5won 2 · lost 8
GPT-6 Astrawon 1 · lost 6
Grok 4.6won 1 · lost 8
Grok 4.5won 1 · lost 8
GPT-5.6 Terrawon 1 · lost 8
GPT-5.5won 1 · lost 8
Claude Opus 5won 1 · lost 8
Claude Opus 4.7won 1 · lost 8
DeepSeek V4.1 Flashwon 0 · lost 6
GLM-5.3won 0 · lost 6
Gemini 3.7 Flashwon 0 · lost 6
Kimi K3won 0 · lost 6
Muse Spark 1.3won 0 · lost 6
Muse Spark 1.2won 0 · lost 6
Claude Fable 5.1won 0 · lost 6
Claude Fable 5won 0 · lost 6
Claude Sonnet 5won 0 · lost 9
Claude Opus 4.8won 0 · lost 9
Muse Spark 1.1won 0 · lost 9
Claude Opus 5.5won 0 · lost 9

§ 3 · Sources

Where the numbers come from

5 publications, 9 figures. Every one links to the page it was read from.

LMArena Text ↗1 measureread 2026-09-26
LMArena Text 1445
ARC-AGI-2 ↗1 measureread 2026-09-26
ARC-AGI-2 0.8%
Aider polyglot ↗1 measureread 2026-09-26
Aider polyglot 44.9%
SimpleBench ↗1 measureread 2026-09-26
SimpleBench 34.5%
HELM Safety ↗5 measuresread 2026-09-26
HELM Safety · HarmBench 95.8%HELM Safety · SimpleSafetyTests 100%HELM Safety · Anthropic Red Team 99.4%HELM Safety · BBQ 92%HELM Safety · XSTest 95.1%

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