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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): 21.5 index
  • Coding Index (artificial-analysis): 44.2 index
  • Design Arena 3d (other): 1133 elo · #73
  • Design Arena asciiart (other): 1085 elo · #64
  • Design Arena codecategories (other): 1166 elo · #77
  • Design Arena dataviz (other): 1160 elo · #76

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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USAGE / OPENROUTER

How much DeepSeek V3.2 is used

Tokens processed through OpenRouter each day. It shows what developers actually run, not every company's private traffic.

Tokens, last 7 days
294B ▼12.2%
Requests, last 7 days
41.7M
Tool calls, last 7 days
912K
Intelligence score
21.5
People's vote
1424
Average cost per request
13.6¢
Price per million tokens
$0.28 in · $0.42 out
050B100B19 Sept: 50.9B tokens, 8M requests20 Sept: 52.7B tokens, 7.3M requests21 Sept: 56.8B tokens, 7.9M requests22 Sept: 55.1B tokens, 7.6M requests23 Sept: 52.4B tokens, 7.4M requests24 Sept: 51.5B tokens, 8.6M requests25 Sept: 54.8B tokens, 8.9M requests26 Sept: 46.5B tokens, 6.7M requests27 Sept: 50.1B tokens, 6.9M requests28 Sept: 53.8B tokens, 7.1M requests29 Sept: 50.7B tokens, 7.7M requests30 Sept: 53.5B tokens, 7.6M requests1 Oct: 58.3B tokens, 8.7M requests2 Oct: 56.3B tokens, 9.4M requests3 Oct: 50.7B tokens, 7.1M requests4 Oct: 49B tokens, 7.2M requests5 Oct: 49.6B tokens, 7.1M requests6 Oct: 47.5B tokens, 7.7M requests7 Oct: 47.6B tokens, 7.6M requests8 Oct: 45.6B tokens, 6.6M requests9 Oct: 46.4B tokens, 6.5M requests10 Oct: 44.3B tokens, 8.3M requests11 Oct: 53.5B tokens, 10.3M requests12 Oct: 42.5B tokens, 5.6M requests13 Oct: 41.5B tokens, 6.3M requests14 Oct: 41.1B tokens, 5.8M requests15 Oct: 40.1B tokens, 6.1M requests16 Oct: 41.7B tokens, 6.1M requests17 Oct: 44.1B tokens, 6.1M requests18 Oct: 42.9B tokens, 5.7M requests19 Sept3 Oct17 Oct18 OctSee where it ranks on the leaderboard →

FROM SPECIFICATIONS TO YOUR WORK

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Check the source

Price date: 2026-10-18. Prices are USD API token rates. Your app subscription, uploads, browsing and tools are separate.

Model source & availability ↗

Understand the evidence

Listed capabilities and third-party benchmark scores do not establish Enterprise DNA task-test results. Validate accuracy and total cost on your own sample.

Intelligence Index: 21.5 (2026-10-18) ↗Coding Index: 44.2 (2026-10-18) ↗
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