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The LLM benchmark aggregator.

Grok 4 Fast

SpaceXAI

Strongest in Legal (#37 of 173), weakest in Safety (#303 of 329). Above par in 10 of 18 scopes. Among the models it meets almost everywhere, it finishes behind GPT-5.6 Sol and GPT-5.5 and ahead of NVIDIA Nemotron 3 Ultra 550B A55B and Grok 3 Mini.

§ 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.

Core abilities54.6#51/199
General intelligence56.6#45/178
Reasoning52.5#74/195
Mathematics56.6#39/152
Science56.5#49/122
Reasoning42.9#98/147
Professional51.8#75/194
Legal55.9#37/173
Medical51#78/149
Finance49.9#99/162
Knowledge49.2#124/197
Academic knowledge48.1#87/123
Human preference57.2#128/354
Human preference57.2#128/354
Coding40#166/179
Agentic coding39.1#162/173
Safety42.5#303/329
Factual grounding26#99/104

§ 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 Grok 4 Fast, left for the other.

GPT OSS 20Bwon 13 · lost 1
Gemini 1.5 Flashwon 10 · lost 1
Grok 2won 10 · lost 1
Command Awon 15 · lost 2
GPT-4o miniwon 14 · lost 2
Llama 4 Scout Instructwon 14 · lost 2
GPT-5 nanowon 14 · lost 2
Gemini 2.5 Flash-Litewon 13 · lost 2
Mistral Medium 3.5won 13 · lost 2
Llama 3.3 70B Instructwon 11 · lost 2
Gemini 1.5 Prowon 11 · lost 2
Command R+won 10 · lost 2
Mistral Large 2.1won 10 · lost 2
Mistral Medium 3.1won 10 · lost 2
GPT-4.1 nanowon 14 · lost 3
Gemini 2.0 Flashwon 14 · lost 3
DeepSeek V3won 14 · lost 4
Claude 3.5 Haikuwon 10 · lost 3
GPT-4.1 miniwon 13 · lost 4
O3 Miniwon 11 · lost 4
GPT-5.4 nanowon 13 · lost 5
Mistral Large 3won 12 · lost 6
Kimi K2won 12 · lost 6
Claude 3.5 Sonnetwon 9 · lost 5
GPT-4owon 10 · lost 6
MiniMax M2.1won 10 · lost 6
Claude Haiku 4.5won 10 · lost 6
GPT OSS 120Bwon 11 · lost 7
Grok 4.3won 9 · lost 6
Inkling Smallwon 8 · lost 6
Gemma 4 31Bwon 8 · lost 6
MiniMax M2.5won 10 · lost 8
DeepSeek V3.1won 6 · lost 5
MiMo V2.5won 7 · lost 6
Grok 3 Miniwon 9 · lost 8
Step 5won 6 · lost 6
GLM-4.5won 7 · lost 7
Grok 4.1 Fastwon 8 · lost 8
Gemini 3.5 Flash-Litewon 8 · lost 8
O4 Miniwon 9 · lost 9
Claude Sonnet 4won 9 · lost 9
DeepSeek V3.2won 9 · lost 9
Ling 3.0 Flashwon 5 · lost 6
DeepSeek V4won 5 · lost 6
Grok 3won 8 · lost 10
Qwen3 235B A22B Instructwon 8 · lost 10
Qwen3.8 27Bwon 7 · lost 9
Mistral Large 4won 6 · lost 8
Qwen3.6 Pluswon 6 · lost 8
MiMo V2.5 Prowon 6 · lost 8
Gemini 3.1 Flash-Litewon 7 · lost 10
GPT-5.4 miniwon 7 · lost 10
Kimi K2 Thinkingwon 6 · lost 9
Claude 3.7 Sonnetwon 6 · lost 9
Qwen3.5 Flashwon 6 · lost 9
O1won 6 · lost 9
GPT-6 Lunawon 6 · lost 9
Gemini 2.5 Flashwon 7 · lost 11
MiMo V2.6 Flashwon 5 · lost 8
Kimi K2.6won 6 · lost 10
MiMo V2.6 Prowon 5 · lost 9
DeepSeek R1won 6 · lost 11
GLM-4.6won 6 · lost 11
DeepSeek V4 Flashwon 6 · lost 11
Inklingwon 6 · lost 11
MiniMax M2.7won 5 · lost 10
Qwen3 Maxwon 5 · lost 10
GPT-5 miniwon 6 · lost 12
GPT-4.1won 6 · lost 12
Claude Sonnet 4.5won 6 · lost 12
GLM-4.7won 5 · lost 11
MiniMax M3won 5 · lost 12
GPT-5.6 Lunawon 5 · lost 12
GLM-5.3 Flashwon 5 · lost 12
GLM-5.2won 5 · lost 12
Gemini 3.8 Flashwon 5 · lost 12
Claude Opus 4.1won 4 · lost 10
Kimi K2.5won 5 · lost 13
DeepSeek V4 Prowon 5 · lost 13
GLM-5.1won 4 · lost 11
Muse Spark 1.1won 4 · lost 11
Grok 4.20won 4 · lost 12
Qwen3.7 Maxwon 4 · lost 12
GLM-5.3won 4 · lost 12
Grok 4won 4 · lost 13
O3won 4 · lost 13
Claude Opus 4won 4 · lost 14
GLM-5won 4 · lost 14
Claude Haiku 5.5won 3 · lost 11
Grok 4.7won 3 · lost 11
Gemini 3.6 Flashwon 3 · lost 13
Grok 4.6won 3 · lost 14
Claude Sonnet 4.6won 3 · lost 14
Qwen3.8 Maxwon 3 · lost 14
Muse Spark 1.3won 2 · lost 10
Gemini 2.5 Prowon 3 · lost 15
Claude Opus 4.5won 3 · lost 15
Qwen 3.5 Pluswon 2 · lost 11
Claude Sonnet 5.5won 2 · lost 12
Muse Spark 1.2won 2 · lost 12
GPT-6 Solwon 2 · lost 13
Gemini 3.7 Flashwon 2 · lost 13
Claude Sonnet 5won 2 · lost 14
DeepSeek V4.1 Flashwon 2 · lost 14
Gemini 3.5 Flashwon 2 · lost 14
Kimi K3won 2 · lost 14
Grok 4.5won 2 · lost 15
GPT-5.6 Terrawon 2 · lost 15
Gemini 3.1 Prowon 2 · lost 15
Claude Opus 4.6won 2 · lost 16
Kimi K3.1 Prowon 1 · lost 10
GPT-6.1 Solwon 1 · lost 13
Gemini 3 Flashwon 1 · lost 15
GPT-6 Astrawon 1 · lost 15
Claude Opus 5won 1 · lost 15
Claude Opus 5.5won 1 · lost 15
GPT-5.2won 1 · lost 17
GPT-5.4won 1 · lost 17
Gemini 3 Prowon 1 · lost 17
Claude Opus 4.7won 1 · lost 17
Muse Wonderwon 0 · lost 12
Muse Sparkwon 0 · lost 13
Gemini 4 Argonwon 0 · lost 15
GPT-5.1won 0 · lost 16
Claude Fable 5.1won 0 · lost 16
Claude Fable 5won 0 · lost 16
Claude Opus 4.8won 0 · lost 17
GPT-5won 0 · lost 18
GPT-5.5won 0 · lost 18
GPT-5.6 Solwon 0 · lost 18

§ 3 · Sources

Where the numbers come from

5 publications, 16 figures. Every one links to the page it was read from.

LMArena Text ↗1 measureread 2026-11-10
LMArena Text 1405
ARC-AGI-2 ↗1 measureread 2026-11-10
ARC-AGI-2 5.3%
Kagi LLM Benchmark ↗1 measureread 2026-11-10
Kagi LLM Benchmark 66.1%
Vals.ai ↗12 measuresread 2026-11-10
Vals · CaseLaw 65.7%Vals · LegalBench 80.6%Vals · CorpFin 66.9%Vals · TaxEval 75.7%Vals · MortgageTax 42.09%Vals · MedQA 92.07%Vals · MedCode 37.38%Vals · MedScribe 81.63%Vals · SWE-bench Verified 45.4% (Mini-SWE-agent)Vals · GPQA Diamond 85.35%Vals · MMLU Pro 79.7%Vals · AIME 91.25%
Vectara · Factual consistency 79.8%

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