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Figure 50: Mistral Large 3 · diagram by Sebastian Raschka · click to zoom
Sparse MoEMistral AI 🇫🇷 · December 2, 2025

Mistral Large 3 (673B)

Mistral's new flagship effectively adopts the DeepSeek architecture and retunes the expert sizes.

Key detail

Near-clone of DeepSeek V3 with larger experts, fewer routed experts, and multimodal support.

Total params

673B

Active / token

41B

Context

256K

Fact sheet

Scale
673B total, 41B active (6.1% active)
Context window
262,144 tokens
Decoder type
Sparse MoE
Attention
MLA
Layer mix
61 MLA
KV cache / token (bf16)
68.6 KiB · Low
License
Apache License 2.0
Released

Efficiency

Parameters active per token

6.1%

41B of 673B weights run for each token.

KV cache per token (bf16)

68.6 KiB

Smaller than 55% of models in the atlas. How it’s calculated

AA Intelligence Index v4.3.2

Source

9.3

General
17.1
Scientific
2.1
Coding
18.3
Agents
0.2

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