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The LLM benchmark aggregator.

Grok 4.7

SpaceXAI

Strongest in Safety (#4 of 329, on 1 of its 3 boards), weakest in Reasoning (#102 of 195). Above par in 25 of 31 scopes. Among the models it meets almost everywhere, it finishes behind Claude Fable 5.1 and Claude Fable 5 and ahead of GPT-6 Sol and GPT-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.

Safety60#4/329
Fairness70#4/292
Secure code64.9#13/270
Jailbreak resistance61.8#25/268
Toxicity avoidance57.1#45/268
Harm refusal55.5#63/292
Agents58.1#28/298
Web research58.7#6/35
Knowledge work67.3#9/208
Long-horizon work54.3#12/31
Computer use46.9#44/68
Professional54.7#34/194
Medical59.3#14/149
Document design53#14/31
Biology research49.5#17/31
Legal59#19/173
IT operations42#20/33
Cybersecurity54.1#26/47
Finance53#74/162
Coding55.2#34/179
Agentic coding55.4#36/173
Core abilities55.6#39/199
Instruction following63#10/62
Data analysis54.5#15/31
Language52.7#28/62
General intelligence54#59/178
Human preference60.7#79/354
Human preference60.7#79/354
Reasoning49.8#102/195
Reasoning49.7#68/147
Mathematics49.9#87/152

§ 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.

Llama 4 Scout Instructwon 19 · lost 0
GPT-4owon 19 · lost 0
Command Awon 19 · lost 0
Gemini 2.0 Flashwon 19 · lost 0
GPT-4o miniwon 20 · lost 0
Gemini 2.5 Flashwon 20 · lost 0
GPT-4.1 nanowon 21 · lost 0
GPT-4.1 miniwon 21 · lost 0
DeepSeek V3won 21 · lost 0
Qwen3.8 27Bwon 23 · lost 0
Kimi K2won 19 · lost 1
Qwen3 235B A22B Instructwon 19 · lost 1
Mistral Large 4won 27 · lost 2
MiniMax M3won 23 · lost 2
Gemma 4 31Bwon 22 · lost 2
DeepSeek V3.2won 19 · lost 2
Step 5won 19 · lost 2
GLM-4.6won 18 · lost 2
O3 Miniwon 17 · lost 2
Grok 3won 17 · lost 2
DeepSeek V4 Flashwon 22 · lost 3
GPT-6 Lunawon 27 · lost 4
GLM-5.3 Flashwon 26 · lost 4
GPT OSS 120Bwon 18 · lost 3
Grok 4.3won 18 · lost 3
GPT-4.1won 16 · lost 4
Inklingwon 23 · lost 6
Claude 3.7 Sonnetwon 15 · lost 4
MiMo V2.6 Prowon 22 · lost 6
Kimi K2.6won 17 · lost 5
Qwen3.7 Maxwon 17 · lost 5
GPT-5.6 Lunawon 20 · lost 6
DeepSeek R1won 16 · lost 5
Grok 4won 15 · lost 5
GLM-5.2won 17 · lost 6
GLM-5.1won 14 · lost 5
Claude Sonnet 4won 16 · lost 6
Gemini 3.8 Flashwon 22 · lost 9
O4 Miniwon 14 · lost 6
Qwen3.8 Maxwon 20 · lost 9
Claude Opus 4won 13 · lost 6
Claude Sonnet 4.5won 14 · lost 7
Gemini 3.6 Flashwon 16 · lost 8
GPT-5.2won 14 · lost 8
Kimi K2.5won 14 · lost 8
Muse Spark 1.1won 14 · lost 8
GPT-5 miniwon 13 · lost 8
O3won 13 · lost 8
Gemini 2.5 Prowon 13 · lost 8
Grok 4.5won 16 · lost 10
Gemini 3.5 Flashwon 14 · lost 9
DeepSeek V4 Prowon 15 · lost 10
Claude Sonnet 5won 14 · lost 10
Claude Sonnet 4.6won 12 · lost 9
GPT-5.6 Terrawon 17 · lost 13
MiMo V2.6 Flashwon 13 · lost 10
GPT-5.4won 13 · lost 10
GPT-5.1won 10 · lost 9
GPT-5won 11 · lost 10
GPT-6 Solwon 13 · lost 12
Kimi K3won 12 · lost 12
Grok 4.6won 15 · lost 15
Claude Opus 4.7won 11 · lost 12
Claude Opus 4.6won 9 · lost 10
DeepSeek V4.1 Flashwon 12 · lost 14
Claude Haiku 5.5won 11 · lost 14
GPT-5.5won 10 · lost 13
GLM-5.3won 8 · lost 11
Claude Opus 4.8won 9 · lost 14
GPT-5.6 Solwon 10 · lost 17
Kimi K3.1 Prowon 7 · lost 13
Muse Spark 1.3won 7 · lost 15
Claude Opus 5won 8 · lost 18
GPT-6.1 Solwon 7 · lost 18
Claude Sonnet 5.5won 6 · lost 19
Claude Opus 5.5won 6 · lost 25
GPT-6 Astrawon 5 · lost 21
Gemini 4 Argonwon 4 · lost 20
Muse Wonderwon 3 · lost 20
Claude Fable 5won 2 · lost 17
Claude Fable 5.1won 2 · lost 22

§ 3 · Sources

Where the numbers come from

10 publications, 40 figures. Every one links to the page it was read from.

LMArena Text ↗1 measureread 2026-11-10
LMArena Text 1442
Artificial Analysis ↗1 measureread 2026-11-10
Artificial Analysis Intelligence Index 35
GDPval-AA ↗1 measureread 2026-11-10
GDPval-AA 1717
AA-Briefcase ↗1 measureread 2026-11-10
AA-Briefcase 1636
Terminal-Bench ↗1 measureread 2026-11-10
Terminal-Bench 38.8% (Grok Build)
ARC-AGI-2 ↗1 measureread 2026-11-10
ARC-AGI-2 61.4%
LiveBench ↗8 measuresread 2026-11-10
LiveBench 67.9LiveBench · Agentic 45.3LiveBench · Reasoning 82.7LiveBench · Coding 73.1LiveBench · Browser Use 49.3LiveBench · Data Analysis 76.9LiveBench · Research 89.5LiveBench · Design 75
LiveBench 1.0 ↗8 measuresread 2026-11-10
LiveBench 1.0 77.4LiveBench 1.0 · Reasoning 82.7LiveBench 1.0 · Coding 77.2LiveBench 1.0 · Agentic Coding 54LiveBench 1.0 · Mathematics 95.7LiveBench 1.0 · Data Analysis 76.9LiveBench 1.0 · Language 80.1LiveBench 1.0 · Instruction Following 75.3
Vals.ai ↗12 measuresread 2026-11-10
Vals · Legal Research Bench 47.12%Vals · LegalBench 84.39%Vals · Harvey Legal Agent Benchmark 18.33%Vals · Finance Agent 52.25%Vals · MedCode 49.55%Vals · MedScribe 89.38%Vals · BioMysteryBench 69.26%Vals · CyberBench 69.46%Vals · SRE Bench 3.82%Vals · Vibe Code Bench 86.17% (OpenHands)Vals · Code Migration 44.82%Vals · ProofBench 26%
Enkrypt AI Safety Leaderboard ↗6 measuresread 2026-11-10
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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