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Kimi K3

Moonshot · 2.8T · open weights

Strongest in Finance (#7 of 162), weakest in General intelligence (#87 of 178). Above par in 24 of 31 scopes. Among the models it meets almost everywhere, it finishes behind Claude Fable 5 and Claude Fable 5.1 and ahead of Grok 4.6 and DeepSeek V4.1 Flash.

§ 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.

Professional57.2#13/194
Finance59.2#7/162
Cybersecurity59.3#8/47
Biology research54.4#11/31
Medical58.6#17/149
Document design49.1#19/31
Legal56.9#28/173
Human preference65#17/354
Human preference65#17/354
Reasoning55.4#39/195
Science61.8#13/122
Reasoning56.9#37/147
Mathematics50.8#82/152
Expert reasoning46.8—/0✱
Agents56.4#41/298
Long-horizon work49.2#16/31
Web research51#19/35
Computer use56.2#23/68
Knowledge work63.9#28/208
Workflow automation49.9—/0✱
Core abilities55.4#42/199
Language59.8#10/62
Data analysis56.8#13/31
Instruction following56.1#23/62
General intelligence49.9#87/178
Knowledge53.5#50/197
Academic knowledge58.4#22/123
Multimodal understanding35.9—/19✱
Coding53.2#57/179
Agentic coding53.3#56/173
Repository Q&A46—/0✱

§ 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 Kimi K3, left for the other.

Inkling Smallwon 19 · lost 0
GPT-5.4 miniwon 19 · lost 0
Gemma 4 31Bwon 19 · lost 0
Step 5won 20 · lost 0
Gemini 3.5 Flash-Litewon 21 · lost 0
Inklingwon 26 · lost 0
GPT-5.4 nanowon 19 · lost 1
Kimi K2.6won 18 · lost 1
Qwen3.8 27Bwon 24 · lost 2
GPT-6 Lunawon 23 · lost 2
MiniMax M3won 20 · lost 2
DeepSeek V4 Flashwon 20 · lost 2
Claude Sonnet 4.6won 18 · lost 2
GLM-5.3 Flashwon 23 · lost 3
DeepSeek V4 Prowon 18 · lost 3
Claude Sonnet 4.5won 16 · lost 3
Claude Opus 4.5won 16 · lost 3
Mistral Large 4won 19 · lost 4
GPT-5.6 Lunawon 18 · lost 4
GLM-5.2won 16 · lost 4
GPT-5.4won 16 · lost 4
Claude Sonnet 4won 15 · lost 4
GPT-5.2won 15 · lost 4
Kimi K2.5won 15 · lost 4
Qwen3.7 Maxwon 15 · lost 4
Gemini 3.6 Flashwon 16 · lost 5
Claude Sonnet 5won 15 · lost 5
Gemini 3.5 Flashwon 15 · lost 5
GPT-5.6 Terrawon 19 · lost 7
GLM-5.3won 15 · lost 6
Gemini 3.8 Flashwon 18 · lost 9
Grok 4.5won 14 · lost 8
Qwen3.8 Maxwon 15 · lost 11
Claude Haiku 5.5won 14 · lost 11
GPT-6 Solwon 10 · lost 9
Muse Spark 1.1won 10 · lost 9
MiMo V2.6 Prowon 11 · lost 10
DeepSeek V4.1 Flashwon 13 · lost 12
Grok 4.6won 14 · lost 13
Grok 4.7won 12 · lost 12
Gemini 3.1 Prowon 9 · lost 11
Gemini 3.7 Flashwon 8 · lost 11
GPT-5.5won 8 · lost 12
Claude Opus 4.7won 8 · lost 12
Claude Sonnet 5.5won 9 · lost 16
Claude Opus 4.8won 7 · lost 13
Muse Spark 1.2won 7 · lost 13
Muse Wonderwon 7 · lost 16
GPT-6 Astrawon 7 · lost 18
GPT-6.1 Solwon 7 · lost 18
Muse Spark 1.3won 6 · lost 16
GPT-5.6 Solwon 6 · lost 17
Kimi K3.1 Prowon 4 · lost 15
Claude Opus 5.5won 4 · lost 21
Claude Opus 5won 3 · lost 19
Gemini 4 Argonwon 1 · lost 21
Claude Fable 5.1won 1 · lost 25
Claude Fable 5won 0 · lost 22

§ 3 · Sources

Where the numbers come from

9 publications, 54 figures. Every one links to the page it was read from.

LMArena Text ↗1 measureread 2026-11-10
LMArena Text 1487
GDPval-AA ↗1 measureread 2026-11-10
GDPval-AA 1543
AA-Briefcase ↗1 measureread 2026-11-10
AA-Briefcase 1497
ARC-AGI-2 ↗1 measureread 2026-11-10
ARC-AGI-2 60.4%
LiveBench ↗8 measuresread 2026-11-10
LiveBench 65LiveBench · Agentic 36LiveBench · Reasoning 90.7LiveBench · Coding 53.1LiveBench · Browser Use 75.2LiveBench · Data Analysis 78.7LiveBench · Research 79.8LiveBench · Design 72.5
LiveBench 1.0 ↗8 measuresread 2026-11-10
LiveBench 1.0 79.2LiveBench 1.0 · Reasoning 90.7LiveBench 1.0 · Coding 81.4LiveBench 1.0 · Agentic Coding 62.2LiveBench 1.0 · Mathematics 84.4LiveBench 1.0 · Data Analysis 78.7LiveBench 1.0 · Language 85.5LiveBench 1.0 · Instruction Following 71.4
SimpleBench ↗1 measureread 2026-11-10
SimpleBench 60.7%
Vals.ai ↗17 measuresread 2026-11-10
Vals · Legal Research Bench 46.15%Vals · LegalBench 86.21%Vals · Harvey Legal Agent Benchmark 12.92%Vals · Finance Agent 53.11%Vals · CorpFin 71.56%Vals · TaxEval 75.72%Vals · MortgageTax 66.34%Vals · MedCode 49.36%Vals · MedScribe 88.05%Vals · BioMysteryBench 72.59%Vals · CyberBench 75.24%Vals · SWE-bench Verified 93.4% (Mini-SWE-agent)Vals · Vibe Code Bench 84.97% (OpenHands)Vals · Code Migration 16.1%Vals · GPQA Diamond 92.93%Vals · MMLU Pro 87.97%Vals · ProofBench 87%
GPQA Diamond (Pass@1) 92.9%HLE (Pass@1) 43.5%MathArena Apex (Pass@1) 65.6%Terminal-Bench 2.1 (Pass@1) 88.3%Terminal-Bench 3.0 (Pass@1) 17.7%Terminal-Bench 4.0 (Pass@1) 12.6%DeepSWE v1.1 (Resolved) 67.5%ProgramBench (Almost@1) 17.5%NL2Repo-Bench (Score) 58%CyberGym (Pass@1) 80%HLE w/ tools (Pass@1) 59.8%AutomationBench (Pass@1) 46.7%Agent's Last Exam (Pass@1) 27.6%Chartography w/ tools (Pass@1) 68.1%BabyVision w/ tools (Pass@1) 85.7%ZeroBench-main w/ tools (Pass@5) 41%

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PublicAI Index badge for Kimi K3[![PublicAI Index](https://publicai.io/model-index/badge?model=kimi-k3)](https://publicai.io/model-index/m/kimi-k3)

✱ Placed by a one-off publication, not a board that re-ran the model. ✱✱ marks a figure the model’s own publisher printed, which counts for less again. Scores are 0–100 on the PublicAI Index scale, 50 = the average of the models each source lists. Scores belong to their publishers.

Snapshot 2026-11-10 · the full index · JSON API