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Kimi K3

Active Parameters

2.8T

Context Length

1.05M

Modality

Multimodal

Architecture

Mixture of Experts

KV Cache Rate

105 KB/tok

License

Open Weights

Release Date

27 Jul 2026

Knowledge Cutoff

Jun 2024

API Pricing (per 1M)

Input: $3.00 · Output: $15.00

Hardware Sizing

Precision

Context

Workload Memory: 5446.50 GB

FP16 · 8K context

Base Weights: 5409.12 GB

KV Cache: 34.88 GB

Runtime & Graphs: 2.50 GB

Minimum Required Hardware

Workload exceeds 4,000 GB memory ceiling. Custom multi-node cluster orchestration required.

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Architecture Diagram

Input TokensToken EmbeddingPosition: RoPEHidden: 7.2k · Context: 1.05M · Vocab: 163.8kx 93 layersRMSNormPre-AttentionMulti-Layer Attention96Q / 96KV headsHead dim: 128+RMSNormPre-FFNSparse MoE FFN (16/896 experts)SwiGLUIntermediate: 3.1k+Final RMSNormOutput Logits

Evaluation Benchmarks

Rank

#18

BenchmarkScoreRank

Graduate-Level QA

GPQA

0.935

7

0.91

9

Agentic Coding

LiveBench Agentic

0.62

9

Web Development

WebDev Arena
max

1656

14

0.79

14

LiveBench Average

LiveBench Average

0.79

14

max

0.76

low

0.72

16

33

0.81

16

General Text

Text Arena
max

1488

17

0.79

18

Agentic Index

Artificial Analysis
max

0.50

low

0.29

21

61

Agent Arena

Agent Arena
max

0.01

30

0.84

51

Intelligence Index

Artificial Analysis
low

0.17

197

Rankings

Overall Rank

#18

Coding Rank

#11

About Kimi K3

Kimi K3 is Moonshot AI's flagship 2.8T-parameter Mixture-of-Experts multimodal model engineered for long-horizon agentic workflows and complex reasoning. Featuring a 1M token context window powered by hybrid linear attention, it excels at autonomous coding and vision-in-the-loop tasks.

Technical Specifications

Attention

Attention Structure

Multi-Layer Attention

Attention Heads

96

Key-Value Heads

96

Attention Head Dimension

128

Position Embedding

ROPE

Linear Attention

Yes

Linear Attention Ratio

74.2%

Normalization

RMS Normalization

Activation Function

SwigLU

Dimensions

Hidden Dimension Size

7,168

Number of Layers

93

FFN Intermediate Size (Dense)

33,792

Tokenizer

Vocabulary Size

163,840

Mixture of Experts

Total Expert Parameters

104.0B

Number of Experts

896

Active Experts

16

Shared Experts

2

FFN Intermediate Size (per Expert)

3,072

Dense Layers Before MoE

1

About Kimi K3

Kimi K3 is a flagship Mixture-of-Experts (MoE) multimodal model series developed by Moonshot AI.


Other Kimi K3 Models
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