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Moonshot AI

Kimi K2

ReasoningOpen weightsModels.devHugging Face
Intelligence
22.0
Rank 218 of 744 measured models
Coding
21.0
Rank 222 of 298 measured models
Output speed
159 t/s
Rank 73 of 403 measured models
Price/1M
$1.08
Rank 387 of 659 measured models
Context window
256K
Rank 518 of 1199 measured models

Kimi K2 Thinking scores 22.0 on the Artificial Analysis Intelligence Index, ranking 218th of 744 measured models. The closest models on this index are Gemini 3.5 Flash-Lite (22.2), GLM-4.7 (22.2), and o3-pro (21.9). At $1.08 per million tokens (3:1 input/output blended price), it is cheaper than o3-pro ($35), more expensive than Gemini 3.5 Flash-Lite ($0.85) and GLM-4.7 ($1). With an output speed of 159 t/s, it is faster than GLM-4.7 (37.9 t/s), slower than Gemini 3.5 Flash-Lite (435 t/s).

Artificial Analysis Indices
Thinking
Intelligence22.0
Rank 218 of 744 measured models
Coding21.0
Rank 222 of 298 measured models
Math94.7
Rank 10 of 270 measured models
Reasoning levels
Each point is a reasoning level of this model: more reasoning often raises the score but costs more. Select a point to open that level.
Intelligence Indexmost efficient ↗Price / 1M tokens
Standard Benchmarks
MMLU Pro84.8%
Rank 36 of 349 measured models
GPQA Diamond83.8%
Rank 161 of 619 measured models
HLE23.8%
Rank 193 of 664 measured models
LiveCodeBench85.3%
Rank 14 of 343 measured models
AIME 202594.7%
Rank 10 of 270 measured models
IFBench68.1%
Rank 83 of 450 measured models
AA-LCR72.0%
Rank 195 of 575 measured models
TerminalBench Hard31.1%
Rank 111 of 432 measured models
Additional benchmarks1
Design Arena · Website48.8%
Models at a similar level
The closest models on the Intelligence Index, one configuration per family.

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