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DeepSeek V3.2

by DeepSeek

DeepSeek-V3.2 is a large language model designed to harmonize high computational efficiency with strong reasoning and agentic tool-use performance. It introduces DeepSeek Sparse At

DV

Models

DeepSeek V3.2

Added 10 July 2026

#deepseek

Overview

DeepSeek-V3.2 is a large language model designed to harmonize high computational efficiency with strong reasoning and agentic tool-use performance. It introduces DeepSeek Sparse Attention (DSA), a fine-grained sparse attention mechanism...

Best for

Best for
High-volume cheap coding and chat

Use cases

  • coding assistants
  • batch analysis
  • draft generation

How to use / API access

Call via OpenRouter with model id `deepseek/deepseek-v3.2`.

  • openrouter · deepseek/deepseek-v3.2 Docs

OpenRouter id: deepseek/deepseek-v3.2

Benchmarks

  • Intelligence Index (artificial-analysis) : 32 index
  • Coding Index (artificial-analysis) : 44.2 index
  • Agentic Index (artificial-analysis) : 18.3 index
  • Design Arena 3d (other) : 1200 elo · #46
  • Design Arena asciiart (other) : 1124 elo · #47
  • Design Arena codecategories (other) : 1200 elo · #54
  • Design Arena dataviz (other) : 1195 elo · #54

Enterprise DNA angle

A/B DeepSeek V3 against Sonnet inside Omni with shared eval harnesses.

Notes

DeepSeek V3.2 is listed in the EDNA Models directory from the OpenRouter catalogue.

Pros

  • Strong quality at aggressive pricing
  • Useful coding and general assistant workloads

Cons

  • Validate safety/brand tone before customer-facing use
  • Ecosystem tooling less mature than US labs
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