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Grok 4.20

SpaceXAI

Strongest in General intelligence (#21 of 178, on 1 of its 3 boards), weakest in Coding (#165 of 179). Above par in 10 of 16 scopes. Among the models it meets almost everywhere, it finishes behind Claude Fable 5 and Claude Fable 5.1 and ahead of MiMo V2.5 Pro and Grok 4.7.

§ 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 abilities57.6#23/199
General intelligence60.9#21/178
Reasoning57.4#27/195
Mathematics58#23/152
Science58.8#34/122
Reasoning55.1#45/147
Human preference63.6#39/354
Human preference63.6#39/354
Knowledge52.6#74/197
Academic knowledge56.3#43/123
Professional44#156/194
Medical43.1#125/149
Finance44.3#126/162
Legal42.9#139/173
Coding40.1#165/179
Agentic coding39.5#160/173

§ 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 4.20, left for the other.

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

§ 3 · Sources

Where the numbers come from

4 publications, 19 figures. Every one links to the page it was read from.

LMArena Text ↗1 measureread 2026-11-10
LMArena Text 1472
ARC-AGI-2 ↗1 measureread 2026-11-10
ARC-AGI-2 65.1%
Kagi LLM Benchmark ↗1 measureread 2026-11-10
Kagi LLM Benchmark 75%
Vals.ai ↗16 measuresread 2026-11-10
Vals · Legal Research Bench 13.94%Vals · CaseLaw 54.45%Vals · LegalBench 77.74%Vals · Finance Agent 28.49%Vals · CorpFin 63.67%Vals · TaxEval 74.12%Vals · MortgageTax 45.35%Vals · MedQA 94.55%Vals · MedCode 32.16%Vals · MedScribe 63.41%Vals · SWE-bench Verified 72.2% (Mini-SWE-agent)Vals · Vibe Code Bench 4.06% (OpenHands)Vals · Code Migration 0.31%Vals · GPQA Diamond 88.64%Vals · MMLU Pro 86.25%Vals · AIME 96.46%

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