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Grok 4.3

SpaceXAI

Strongest in Science (#22 of 122), weakest in Safety (#247 of 329). Above par in 8 of 24 scopes. Among the models it meets almost everywhere, it finishes behind Claude Opus 5 and Qwen3.8 Max and ahead of GLM-4.6 and Kimi K2.

§ 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.

Human preference60.7#78/354
Human preference60.7#78/354
Knowledge52.4#80/197
Academic knowledge55.8#52/123
Reasoning50.5#94/195
Science60.7#22/122
Mathematics43.5#115/152
Professional50#97/194
Legal55.7#41/173
Finance48#110/162
Medical45.4#117/149
Agents49.4#136/298
Knowledge work49.1#102/208
Core abilities44.5#151/199
Instruction following40.8#49/62
Language44.1#50/62
Coding38.7#175/179
Agentic coding38.2#169/173
Safety47.1#247/329
Secure code55.8#110/270
Harm refusal48.4#179/292
Fairness44#212/292
Toxicity avoidance46.4#220/268
Jailbreak resistance38.6#221/268

§ 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 4.3, left for the other.

Jamba 1.6 Miniwon 14 · lost 1
Command R+won 14 · lost 1
Mistral Medium 3.5won 14 · lost 2
Llama 3.3 70B Instructwon 14 · lost 4
Magistral Small 1.2won 13 · lost 4
Grok 4.1 Fastwon 15 · lost 5
Jamba 1.6 Largewon 11 · lost 4
Command Awon 15 · lost 6
Llama 4 Scout Instructwon 14 · lost 6
Gemini 1.5 Flashwon 11 · lost 5
MiMo V2.5won 10 · lost 5
GPT-4o miniwon 14 · lost 7
Claude 3.5 Haikuwon 13 · lost 7
GPT-4.1 nanowon 14 · lost 8
DeepSeek V3won 14 · lost 8
GPT-5.4 nanowon 12 · lost 7
Gemini 2.5 Flash-Litewon 10 · lost 6
DeepSeek R1won 13 · lost 8
Ling 3.0 Flashwon 11 · lost 7
Gemini 3.5 Flash-Litewon 11 · lost 7
GPT OSS 20Bwon 12 · lost 8
Grok 3won 12 · lost 8
Gemini 1.5 Prowon 10 · lost 7
Mistral Large 3won 10 · lost 7
GLM-4.7won 9 · lost 7
Gemini 2.0 Flashwon 11 · lost 9
GPT-5 nanowon 10 · lost 9
GPT-4owon 11 · lost 10
O3 Miniwon 11 · lost 10
Claude Haiku 4.5won 11 · lost 10
Kimi K2won 11 · lost 10
GLM-4.6won 11 · lost 10
Inkling Smallwon 8 · lost 8
Qwen3.8 27Bwon 9 · lost 9
GPT-5.4 miniwon 9 · lost 9
GPT OSS 120Bwon 11 · lost 11
DeepSeek V3.2won 11 · lost 11
Grok 4won 10 · lost 11
Gemini 3.1 Flash-Litewon 8 · lost 9
Grok Build 0.1won 7 · lost 8
MiniMax M2.5won 7 · lost 8
MiniMax M3won 11 · lost 13
Claude Sonnet 4won 10 · lost 12
Claude 3.7 Sonnetwon 9 · lost 11
Claude 3.5 Sonnetwon 8 · lost 10
GLM-4.5won 8 · lost 10
MiMo V2.5 Prowon 9 · lost 12
Grok 3 Miniwon 7 · lost 10
GPT-4.1 miniwon 9 · lost 13
Grok 4 Fastwon 6 · lost 9
Gemma 4 31Bwon 7 · lost 11
Gemini 2.5 Flashwon 8 · lost 13
MiniMax M2.7won 8 · lost 13
Mistral Large 4won 8 · lost 13
Claude Haiku 5.5won 6 · lost 10
O1won 7 · lost 12
GPT-6 Lunawon 8 · lost 14
Gemini 2.5 Prowon 8 · lost 14
Claude Opus 4won 7 · lost 13
Kimi K2.7 Codewon 5 · lost 10
Kimi K2 Thinkingwon 6 · lost 12
O4 Miniwon 7 · lost 14
GPT-4.1won 7 · lost 14
Qwen3 235B A22B Instructwon 7 · lost 14
GLM-5.3 Flashwon 8 · lost 16
MiMo V2.6 Flashwon 6 · lost 13
DeepSeek V4 Flashwon 7 · lost 17
Inklingwon 7 · lost 17
O3won 6 · lost 15
Qwen3.6 Pluswon 5 · lost 13
GPT-5 miniwon 6 · lost 16
GLM-5.2won 6 · lost 18
Kimi K2.6won 5 · lost 18
Gemini 3.5 Flashwon 5 · lost 19
Gemini 3.6 Flashwon 5 · lost 19
Muse Sparkwon 3 · lost 12
Claude Sonnet 4.5won 4 · lost 18
GPT-5.6 Lunawon 4 · lost 20
Qwen3.7 Maxwon 4 · lost 20
Gemini 3.1 Prowon 3 · lost 16
Claude Opus 4.6won 3 · lost 17
Grok 4.7won 3 · lost 18
GLM-5.1won 3 · lost 18
GPT-5won 3 · lost 19
Claude Sonnet 4.6won 3 · lost 19
GLM-5won 2 · lost 13
GPT-5.2won 3 · lost 20
Claude Opus 4.5won 2 · lost 16
MiMo V2.6 Prowon 2 · lost 17
Kimi K2.5won 2 · lost 20
GPT-6 Solwon 2 · lost 20
DeepSeek V4 Prowon 2 · lost 22
Muse Spark 1.1won 2 · lost 22
Gemini 3.8 Flashwon 2 · lost 22
Claude Sonnet 5.5won 1 · lost 15
GPT-6.1 Solwon 1 · lost 15
GPT-6 Astrawon 1 · lost 16
GLM-5.3won 1 · lost 17
Gemini 3 Prowon 1 · lost 17
Gemini 3.7 Flashwon 1 · lost 17
GPT-5.1won 1 · lost 20
Claude Opus 5.5won 1 · lost 21
Claude Sonnet 5won 1 · lost 23
GPT-5.6 Terrawon 1 · lost 23
Claude Opus 4.8won 1 · lost 23
GPT-5.6 Solwon 1 · lost 23
Claude Opus 4.7won 1 · lost 23
DeepSeek V4.1 Flashwon 0 · lost 17
Muse Spark 1.2won 0 · lost 17
Kimi K3won 0 · lost 18
Claude Fable 5.1won 0 · lost 18
Claude Fable 5won 0 · lost 18
GPT-5.4won 0 · lost 23
Grok 4.6won 0 · lost 24
Grok 4.5won 0 · lost 24
GPT-5.5won 0 · lost 24
Qwen3.8 Maxwon 0 · lost 24
Claude Opus 5won 0 · lost 24

§ 3 · Sources

Where the numbers come from

6 publications, 31 figures. Every one links to the page it was read from.

LMArena Text ↗1 measureread 2026-11-10
LMArena Text 1442
GDPval-AA ↗1 measureread 2026-11-10
GDPval-AA 946
AA-Briefcase ↗1 measureread 2026-11-10
AA-Briefcase 763
LiveBench 1.0 ↗8 measuresread 2026-11-10
LiveBench 1.0 62.3LiveBench 1.0 · Reasoning 70.8LiveBench 1.0 · Coding 69.9LiveBench 1.0 · Agentic Coding 18.5LiveBench 1.0 · Mathematics 84.3LiveBench 1.0 · Data Analysis 55.8LiveBench 1.0 · Language 73.6LiveBench 1.0 · Instruction Following 62.8
Vals.ai ↗14 measuresread 2026-11-10
Vals · Legal Research Bench 15.38%Vals · CaseLaw 79.31%Vals · LegalBench 84.46%Vals · Finance Agent 37.73%Vals · CorpFin 68.53%Vals · TaxEval 70.81%Vals · MortgageTax 48.25%Vals · MedCode 38.07%Vals · MedScribe 74.4%Vals · SWE-bench Verified 71.4% (Mini-SWE-agent)Vals · Vibe Code Bench 19.4% (OpenHands)Vals · Code Migration 6.79%Vals · GPQA Diamond 91.41%Vals · MMLU Pro 85.84%
Enkrypt AI Safety Leaderboard ↗6 measuresread 2026-11-10
Enkrypt · Jailbreak risk 22.4%Enkrypt · Harmful content risk 5%Enkrypt · CBRN risk 34.8%Enkrypt · Toxicity risk 8.6%Enkrypt · Bias risk 87.1%Enkrypt · Insecure code risk 21.3%

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