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The LLM benchmark aggregator.

Grok 4.1 Fast

SpaceXAI

Strongest in Tool use (#5 of 81), weakest in Safety (#323 of 337). Above par in 12 of 23 scopes. Among the models it meets almost everywhere, it finishes behind Claude Opus 5 and Claude Opus 5.5 and ahead of Kimi K2 and Inkling Small.

§ 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.

Agents62.8#16/268
Tool use73#5/81
Reasoning55#41/178
Mathematics56.8#31/140
Reasoning52.6#50/140
Science55.8#53/122
Knowledge53.1#70/138
Academic knowledge53.7#64/123
Human preference59.9#89/342
Human preference59.9#89/342
Professional49.1#92/168
Legal53.2#53/151
Finance48.7#96/151
Medical46.1#108/140
Coding37.1#164/165
Agentic coding35.2#157/157
Safety40.7#323/337
Factual grounding26.7#94/101
Secure code53.6#124/274
Fairness43.5#233/300
Toxicity avoidance36.5#246/272
Jailbreak resistance31.3#252/272
Harm refusal44.2#257/300

§ 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 4.1 Fast, left for the other.

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

§ 3 · Sources

Where the numbers come from

6 publications, 23 figures. Every one links to the page it was read from.

LMArena Text ↗1 measureread 2026-09-26
LMArena Text 1430
BFCL ↗1 measureread 2026-09-26
BFCL v4 69.57%
SimpleBench ↗1 measureread 2026-09-26
SimpleBench 56%
Vals.ai ↗13 measuresread 2026-09-26
Vals · CaseLaw 60.45%Vals · LegalBench 82.45%Vals · CorpFin 65.97%Vals · TaxEval 73.14%Vals · MortgageTax 42.61%Vals · MedQA 92.08%Vals · MedCode 28.08%Vals · MedScribe 78.73%Vals · SWE-bench Verified 41.4% (Mini-SWE-agent)Vals · Vibe Code Bench 1.2% (OpenHands)Vals · GPQA Diamond 84.34%Vals · MMLU Pro 84.18%Vals · AIME 91.88%
Enkrypt AI Safety Leaderboard ↗6 measuresread 2026-09-26
Enkrypt · Jailbreak risk 28.6%Enkrypt · Harmful content risk 36.7%Enkrypt · CBRN risk 28.2%Enkrypt · Toxicity risk 15.8%Enkrypt · Bias risk 87.9%Enkrypt · Insecure code risk 26.2%
Vectara · Factual consistency 80.8%

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