Model
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Kimi K2

OPEN
Moonshot AI · Kimi K2 family · released Jul 11, 2025

1T-parameter MoE agentic model trained with the MuonClip optimizer; open-sourced under a modified MIT license.

ReasoningCodingVisionFunction callingTool useAgentic
1526.6
Elo · rank #117
Parameters
1000B
Active params
32B (MoE)
Context
128K tokens
Architecture
Mixture-of-Experts, 384 experts (8 active + 1 shared/token), 61 layers, MLA attention
License
Modified MIT License
Languages
API price (in/out)
$0.57 / $2.3
Modalities
text
Benchmark results
Bar shows position within the tracked field; marker = field best
Aider PolyglotCoding60.0%#19
best: Claude Opus 4.5 · 89.4%
AIMEMath69.6%#107
best: GPT-5.2 · 100.0%
Arena EloHuman preference1417#18
best: Claude Fable 5 · 1505
BFCL v3Agents25.3%#32
best: Hunyuan-A13B · 78.3%
GPQA DiamondReasoning75.1%#103
best: GPT-5.6 · 94.6%
Humanity's Last ExamReasoning4.7%#122
best: Claude Sonnet 5 · 57.4%
IFEvalReasoning89.8%#17
best: Gemma 4 26B A4B · 98.5%
LiveCodeBenchCoding53.7%#115
best: DeepSeek-V4-Pro (Think Max) · 93.5%
MATH-500Math97.4%#15
best: GPT-5 · 99.4%
MMLU-ProKnowledge81.1%#52
best: Claude Fable 5 · 91.5%
MMLU-ReduxKnowledge92.7%#16
best: Qwen3.7-Max · 95.0%
MMLUKnowledge89.5%#15
best: OpenAI o3 · 92.9%
SimpleQAKnowledge31.0%#13
best: GPT-4.5 · 62.5%
SuperGPQAReasoning57.2%#16
best: Qwen3.7-Max · 73.6%
SWE-bench VerifiedCoding65.8%#68
best: Claude Fable 5 · 95.0%
τ²-Bench AirlineAgents56.5%#7
best: Trinity-Large-Thinking · 88.0%
τ²-Bench RetailAgents70.6%#10
best: Claude Sonnet 4.6 · 91.7%
τ²-Bench TelecomAgents65.8%#29
best: Claude Opus 4.6 · 99.3%
Terminal-BenchCoding25.0%#14
best: Claude Opus 4.5 (High) · 59.3%
Run it locally
VRAM @ Q4
600 GB
VRAM @ FP16
2000 GB
Fits on (Q4)
Multi-node cluster required
Does not fit on a single RTX 4090 (24GB); practical Q4 quants need ~250-600GB combined RAM/VRAM, with heavy CPU/SSD offload reported at only ~5-10 tok/s
Quantizations
GGUF
API price $0.57/$2.3 · each benchmark row carries its own source badge (see methodology)