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The LLM benchmark aggregator.

Grok 4.7

SpaceXAI

Strongest in Fairness (#4 of 300, on 1 of its 2 boards), weakest in Reasoning (#89 of 178). Above par in 24 of 26 scopes. Among the models it meets almost everywhere, it finishes behind Claude Fable 5 and Claude Fable 5.1 and ahead of GPT-5.5 and Claude Sonnet 5.

§ 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.

Agents65.5#5/268
Knowledge work70.1#4/178
Safety60#6/337
Fairness70#4/300
Secure code65.2#12/274
Jailbreak resistance61.7#25/272
Toxicity avoidance57.1#46/272
Harm refusal55.4#64/300
Professional57.6#13/168
Legal61.2#7/151
Biology research50.2#8/16
Medical59.9#10/140
Finance53.7#62/151
Core abilities58.5#15/204
Instruction following63#10/57
General intelligence61#19/204
Data analysis55.9#23/57
Language51.5#26/57
Coding56#28/165
Agentic coding58#22/157
Code generation49.6#47/77
Human preference60.8#78/342
Human preference60.8#78/342
Reasoning50.3#89/178
Reasoning48.4#68/140
Mathematics51.4#76/140

§ 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 Grok 4.7, left for the other.

Mistral Smallwon 16 · lost 0
Mistral Large 3won 16 · lost 0
GPT-4owon 18 · lost 0
Grok Build 0.1won 19 · lost 0
Llama 4 Scout Instructwon 19 · lost 0
Command Awon 19 · lost 0
Gemini 2.0 Flashwon 19 · lost 0
GPT-4o Miniwon 21 · lost 0
GPT-4.1 Nanowon 21 · lost 0
GPT-4.1 Miniwon 21 · lost 0
DeepSeek V3won 22 · lost 0
Gemini 2.5 Flashwon 20 · lost 1
Kimi K2won 19 · lost 1
Kimi K2.7 Codewon 18 · lost 1
Qwen3.8 27Bwon 18 · lost 1
Grok 3won 16 · lost 1
Qwen3.6 27Bwon 15 · lost 1
Grok 4.3won 23 · lost 2
DeepSeek V3.2won 19 · lost 2
GPT-5.4 Nanowon 18 · lost 2
GPT-4.1won 18 · lost 2
Qwen3 235B A22B Instructwon 18 · lost 2
GLM-4.6won 18 · lost 2
Mimo V2.5 Prowon 18 · lost 2
GPT-5.4 Miniwon 17 · lost 2
Kimi K2 Thinkingwon 15 · lost 2
MiniMax M3won 22 · lost 3
GLM-4.5won 14 · lost 2
DeepSeek R1won 19 · lost 3
GPT OSS 120Bwon 18 · lost 3
Claude Haiku 4.5won 18 · lost 3
O3 Miniwon 17 · lost 3
Grok 4won 17 · lost 3
Qwen3.6 Pluswon 16 · lost 3
Gemma 4 31Bwon 16 · lost 3
Gemini 3.5 Flash Litewon 16 · lost 3
Kimi K2.6won 21 · lost 4
GLM-5.3 Flashwon 21 · lost 4
GLM-5.2won 21 · lost 4
GPT OSS 20Bwon 15 · lost 3
Grok 4.1 Fastwon 15 · lost 3
Claude 3.5 Haikuwon 14 · lost 3
Claude Sonnet 4won 18 · lost 4
O4 Miniwon 17 · lost 4
DeepSeek V4 Flashwon 21 · lost 5
Qwen3.7 Maxwon 20 · lost 5
GPT-5 Nanowon 14 · lost 4
Claude 3.7 Sonnetwon 14 · lost 4
GPT-6 Lunawon 20 · lost 6
Claude 3.5 Sonnetwon 13 · lost 4
O1won 13 · lost 4
GPT-5 Miniwon 16 · lost 5
Inklingwon 19 · lost 6
Claude Opus 4won 15 · lost 5
GLM-5.1won 14 · lost 5
Gemini 3.8 Flashwon 19 · lost 7
Kimi K2.5won 15 · lost 6
GPT-5.2won 17 · lost 7
GPT-5.6 Lunawon 18 · lost 8
Gemini 3.6 Flashwon 18 · lost 8
Gemini 2.5 Prowon 15 · lost 7
Grok 4.5won 17 · lost 8
Gemini 3.5 Flashwon 17 · lost 8
MiniMax M2.7won 12 · lost 6
GPT-5won 14 · lost 7
Claude Sonnet 4.5won 14 · lost 7
Qwen3.8 Maxwon 16 · lost 9
Muse Spark 1.1won 16 · lost 9
O3won 13 · lost 8
Claude Sonnet 4.6won 14 · lost 9
DeepSeek V4 Prowon 15 · lost 10
GPT-5.4won 15 · lost 10
Claude Opus 4.5won 11 · lost 8
GLM-5.3won 11 · lost 8
Claude Opus 4.6won 12 · lost 9
GPT-5.6 Terrawon 14 · lost 11
Muse Spark 1.2won 11 · lost 9
Gemini 3 Prowon 9 · lost 8
Mimo V2.6 Prowon 10 · lost 9
Gemini 3.7 Flashwon 10 · lost 9
Claude Sonnet 5won 13 · lost 12
GPT-5.5won 13 · lost 12
Grok 4.6won 13 · lost 13
GPT-6 Solwon 13 · lost 13
GPT-5.6 Solwon 13 · lost 13
Claude Opus 4.8won 12 · lost 13
GPT-5.1won 9 · lost 10
Gemini 3.1 Prowon 9 · lost 11
Claude Opus 4.7won 11 · lost 14
DeepSeek V4.1 Flashwon 8 · lost 12
Claude Opus 5won 10 · lost 16
GPT-6 Astrawon 6 · lost 15
Kimi K3won 5 · lost 15
Claude Opus 5.5won 4 · lost 22
Muse Spark 1.3won 2 · lost 16
Claude Fable 5.1won 2 · lost 17
Claude Fable 5won 1 · lost 18

§ 3 · Sources

Where the numbers come from

8 publications, 29 figures. Every one links to the page it was read from.

LMArena Text ↗1 measureread 2026-09-26
LMArena Text 1439
Artificial Analysis ↗1 measureread 2026-09-26
Artificial Analysis Intelligence Index 46
GDPval-AA ↗1 measureread 2026-09-26
GDPval-AA 1695
AA-Briefcase ↗1 measureread 2026-09-26
AA-Briefcase 1657
Terminal-Bench ↗1 measureread 2026-09-26
Terminal-Bench 37.6% (Grok Build)
LiveBench ↗8 measuresread 2026-09-26
LiveBench 77.4LiveBench · Reasoning 82.7LiveBench · Coding 77.2LiveBench · Agentic Coding 54LiveBench · Mathematics 95.7LiveBench · Data Analysis 76.9LiveBench · Language 80.1LiveBench · Instruction Following 75.3
Vals.ai ↗10 measuresread 2026-09-26
Vals · Legal Research Bench 47.12%Vals · LegalBench 84.39%Vals · Harvey Legal Agent Benchmark 12.5%Vals · Finance Agent 52.25%Vals · MedCode 49.55%Vals · MedScribe 89.38%Vals · BioMysteryBench 69.26%Vals · Vibe Code Bench 86.17% (OpenHands)Vals · Code Migration 44.82%Vals · ProofBench 26%
Enkrypt AI Safety Leaderboard ↗6 measuresread 2026-09-26
Enkrypt · Jailbreak risk 2.9%Enkrypt · Harmful content risk 0%Enkrypt · CBRN risk 18.3%Enkrypt · Toxicity risk 1.3%Enkrypt · Bias risk 26.6%Enkrypt · Insecure code risk 2.7%

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