# DeepSeek V3.2 Exp

> Source: <https://tokenstead.ai/models/deepseek-v3-2-exp>
> Published: 2026-07-09 14:12:02+00:00

# DeepSeek V3.2 Exp

MoE workstation685B total, ~37B active per token (MoE, 256 routed experts) - shares the V3 backbone. Adds DeepSeek Sparse Attention (DSA): a lightning indexer (FP8, Hadamard dot-product) selects top-2048 tokens per query, then MLA runs only over those - the first fine-grained sparse attention from DeepSeek and the precursor to V4's CSA. Built on V3.1-Terminus. Experimental; superseded by V4 within ~7 months. Open weights under MIT.

coding
reasoning

- 685.0B
- 128k
- mit
- Sep 2025

## Scores

Coding

80

Reasoning

86

General

83

PRICE HISTORY

## Inference cost over time

Data accumulates from the first daily sync - longer ranges populate over time. Prices come from OpenRouter snapshots, not a historical API.

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