Enterprise DNAEnterprise DNA
LModelsLong context
DeepSeek logo

DeepSeek V3.2 Exp

by DeepSeek

DeepSeek-V3.2-Exp is an experimental large language model released by DeepSeek as an intermediate step between V3.1 and future architectures. It introduces DeepSeek Sparse Attentio

DV

Models

DeepSeek V3.2 Exp

Added 10 July 2026

#deepseek

Overview

DeepSeek-V3.2-Exp is an experimental large language model released by DeepSeek as an intermediate step between V3.1 and future architectures. It introduces DeepSeek Sparse Attention (DSA), a fine-grained sparse attention mechanism...

How to use / API access

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

  • openrouter · deepseek/deepseek-v3.2-exp Docs

OpenRouter id: deepseek/deepseek-v3.2-exp

Benchmarks

  • Intelligence Index (artificial-analysis): 16.6 index
  • Design Arena 3d (other): 1149 elo · #67
  • Design Arena codecategories (other): 1172 elo · #70
  • Design Arena dataviz (other): 1152 elo · #79
  • Design Arena gamedev (other): 1146 elo · #72

Notes

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

Free 27-page guide

Get the free Developer’s Field Guide

A 27-page field guide to the AI coding workflow with Claude. Claude Code, MCP servers, the prompt patterns that work, and what to delegate. Free.

Enter your work email. We send it straight over, plus a few short notes worth knowing. Unsubscribe any time.

No spam. Unsubscribe any time.

USAGE / OPENROUTER

How much DeepSeek V3.2 Exp is used

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

Tokens, last 7 days
13.9B ▲1.3%
Requests, last 7 days
2M
Tool calls, last 7 days
31K
Intelligence score
16.6
People's vote
1422
Average cost per request
22.6¢
Price per million tokens
$0.27 in · $0.41 out
02.5B5B19 Sept: 2.3B tokens, 249K requests20 Sept: 2.1B tokens, 212K requests21 Sept: 3B tokens, 425K requests22 Sept: 3B tokens, 378K requests23 Sept: 2.6B tokens, 366K requests24 Sept: 2.6B tokens, 374K requests25 Sept: 3.1B tokens, 425K requests26 Sept: 2.1B tokens, 217K requests27 Sept: 2.2B tokens, 215K requests28 Sept: 2.8B tokens, 429K requests29 Sept: 2.1B tokens, 335K requests30 Sept: 1.8B tokens, 295K requests1 Oct: 1.9B tokens, 312K requests2 Oct: 2.1B tokens, 357K requests3 Oct: 1.5B tokens, 174K requests4 Oct: 1.5B tokens, 157K requests5 Oct: 2B tokens, 283K requests6 Oct: 1.6B tokens, 198K requests7 Oct: 2.9B tokens, 409K requests8 Oct: 1.8B tokens, 272K requests9 Oct: 2.1B tokens, 321K requests10 Oct: 1.4B tokens, 153K requests11 Oct: 1.8B tokens, 156K requests12 Oct: 2.3B tokens, 318K requests13 Oct: 2B tokens, 269K requests14 Oct: 1.9B tokens, 276K requests15 Oct: 2B tokens, 351K requests16 Oct: 2.1B tokens, 375K requests17 Oct: 1.6B tokens, 184K requests18 Oct: 1.9B tokens, 183K requests19 Sept3 Oct17 Oct18 OctSee where it ranks on the leaderboard →

FROM SPECIFICATIONS TO YOUR WORK

Is this the right model for your job?

Start with a realistic sample. These workflows match the model’s listed capabilities, not a verified result on your task.

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: 16.6 (2026-10-18) ↗
Compare this model with alternatives →