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Grok 4.1 Fast

SpaceXAI

Strongest in Tool use (#5 of 81), weakest in Safety (#316 of 329). 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.

Agents59.6#16/298
Tool use73#5/81
Reasoning54.6#51/195
Mathematics56.8#35/152
Science55.8#53/122
Reasoning51.5#59/147
Knowledge51.5#93/197
Academic knowledge53.7#64/123
Human preference59.6#94/354
Human preference59.6#94/354
Professional49#111/194
Legal53.1#66/173
Finance48.7#105/162
Medical45.9#113/149
Coding36.2#178/179
Agentic coding35.3#172/173
Safety40.6#316/329
Factual grounding26.5#97/104
Secure code53.4#124/270
Fairness43.5#227/292
Toxicity avoidance35.9#244/268
Jailbreak resistance31.2#249/268
Harm refusal44.4#250/292

§ 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
Mistral Large 2.1won 11 · lost 3
Gemini 2.5 Flash-Litewon 13 · lost 4
Llama 3.3 70B Instructwon 15 · lost 5
MiMo V2.5won 10 · lost 4
Llama 4 Scout Instructwon 15 · lost 6
Command R+won 12 · lost 5
GPT-5.4 nanowon 12 · lost 5
Magistral Small 1.2won 11 · lost 5
Jamba 1.6 Miniwon 10 · lost 5
Jamba 1.6 Largewon 10 · lost 5
GPT OSS 20Bwon 12 · lost 6
GPT-5 nanowon 14 · lost 7
GPT-4.1 nanowon 14 · lost 8
Command Awon 14 · lost 8
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
GLM-4.5won 10 · lost 7
Mistral Large 3won 10 · lost 7
GLM-4.7won 10 · lost 7
DeepSeek V3.1won 8 · lost 6
O3 Miniwon 12 · lost 9
Grok 3won 12 · lost 9
DeepSeek R1won 12 · lost 9
Ling 3.0 Flashwon 9 · lost 7
MiniMax M2.1won 9 · lost 7
MiniMax M2.5won 9 · lost 7
DeepSeek V3won 12 · lost 10
Claude Sonnet 4won 12 · lost 10
Inkling Smallwon 8 · lost 7
Kimi K2won 12 · lost 11
Grok 4 Fastwon 8 · lost 8
Gemini 3.1 Flash-Litewon 8 · lost 8
GPT-4.1 miniwon 11 · lost 11
O4 Miniwon 11 · lost 12
Qwen3 235B A22B Instructwon 11 · lost 12
DeepSeek V3.2won 11 · lost 12
Claude 3.7 Sonnetwon 10 · lost 11
MiniMax M2.7won 10 · lost 11
Grok 3 Miniwon 8 · lost 9
Qwen3.5 Flashwon 7 · lost 8
Gemini 3.5 Flash-Litewon 7 · lost 8
GPT-4owon 10 · lost 12
GPT OSS 120Bwon 10 · lost 12
Grok 4won 10 · lost 12
GLM-4.6won 10 · lost 12
O1won 9 · lost 11
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
Qwen3.6 Pluswon 6 · lost 8
Claude 3.5 Sonnetwon 8 · lost 11
Gemini 2.5 Prowon 9 · lost 13
GPT-4 Turbowon 5 · lost 9
MiMo V2.6 Flashwon 6 · lost 11
Qwen3.8 27Bwon 5 · lost 10
Kimi K2 Thinkingwon 6 · lost 12
Mistral Large 4won 6 · lost 12
Gemma 4 31Bwon 6 · lost 12
Claude Opus 4won 7 · lost 14
GPT-6 Lunawon 6 · lost 13
GLM-5won 5 · lost 11
MiMo V2.5 Prowon 6 · lost 14
O1 Miniwon 4 · lost 10
Grok 4.20won 4 · lost 10
GLM-5.2won 6 · lost 15
Gemini 3.5 Flashwon 6 · lost 15
O3won 6 · lost 16
Claude Sonnet 4.5won 6 · lost 17
Grok 4.3won 5 · lost 15
MiniMax M3won 5 · lost 16
DeepSeek V4 Flashwon 5 · lost 16
Inklingwon 5 · lost 16
GLM-5.3 Flashwon 5 · lost 16
Gemini 3.6 Flashwon 5 · lost 16
MiMo V2.6 Prowon 4 · lost 13
Kimi K2.5won 5 · lost 17
DeepSeek V4 Prowon 5 · lost 17
Grok 4.7won 4 · lost 14
Claude Opus 4.1won 3 · lost 11
Muse Spark 1.2won 3 · lost 11
GLM-5.3won 3 · lost 12
Claude Sonnet 4.6won 4 · lost 16
GPT-5.6 Lunawon 4 · lost 17
Kimi K2.6won 4 · lost 17
GLM-5.1won 4 · lost 17
Qwen3.7 Maxwon 4 · lost 17
Claude Opus 4.6won 3 · lost 16
Muse Spark 1.1won 3 · lost 17
Grok 4.5won 3 · lost 18
Qwen3.8 Maxwon 3 · lost 18
GPT-5won 3 · lost 19
GPT-5.1won 3 · lost 19
DeepSeek V4.1 Flashwon 2 · lost 13
Kimi K3won 2 · lost 13
Gemini 3.7 Flashwon 2 · lost 13
Gemini 3.1 Prowon 2 · lost 15
GPT-6 Solwon 2 · lost 18
Grok 4.6won 2 · lost 19
Claude Sonnet 5won 2 · lost 19
Claude Opus 4.8won 2 · lost 19
Gemini 3.8 Flashwon 2 · lost 19
GPT-5.2won 2 · lost 21
Muse Sparkwon 1 · lost 13
GPT-6 Astrawon 1 · lost 14
Gemini 3 Flashwon 1 · lost 15
Claude Opus 4.5won 1 · lost 17
Gemini 3 Prowon 1 · lost 19
GPT-5.6 Terrawon 1 · lost 20
GPT-5.4won 1 · lost 21
GPT-5.5won 1 · lost 21
GPT-5.6 Solwon 1 · lost 21
Claude Opus 4.7won 1 · lost 21
Gemini 4 Argonwon 0 · lost 14
Claude Fable 5.1won 0 · lost 15
Claude Fable 5won 0 · lost 15
Claude Opus 5.5won 0 · lost 20
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 2026-11-10
LMArena Text 1431
BFCL ↗1 measureread 2026-11-10
BFCL v4 69.57%
SimpleBench ↗1 measureread 2026-11-10
SimpleBench 56%
Vals.ai ↗13 measuresread 2026-11-10
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 2026-11-10
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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