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DeepSeek V3.2

deepseek/deepseek-v3.2

context
164K
modalities
text → text
capabilities
Tool use, Reasoning, Structured output, Low cost

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...

Providers

Access method depends on provider and account setup.

Pricing

  • Alibaba

    input / 1M
    $0.3705
    output / 1M
    $1.1115
  • AtlasCloud

    input / 1M
    $0.26
    output / 1M
    $0.38
  • Baidu

    input / 1M
    $0.28
    output / 1M
    $0.42
  • DeepInfra

    input / 1M
    $0.26
    output / 1M
    $0.38
  • DigitalOcean

    input / 1M
    $0.30
    output / 1M
    $0.96
  • Friendli

    input / 1M
    $0.50
    output / 1M
    $1.50
  • GMICloud

    input / 1M
    $0.2088
    output / 1M
    $0.3096
  • Google

    input / 1M
    $0.56
    output / 1M
    $1.68
  • Mara

    input / 1M
    $3.00
    output / 1M
    $4.50
  • Novita

    input / 1M
    $0.269
    output / 1M
    $0.40
  • Phala

    input / 1M
    $1.00
    output / 1M
    $1.00
  • SambaNova

    input / 1M
    $3.00
    output / 1M
    $4.50
  • SiliconFlow

    input / 1M
    $0.259
    output / 1M
    $0.80
  • StreamLake

    input / 1M
    $0.2145
    output / 1M
    $0.3218
  • Venice

    input / 1M
    $0.2683
    output / 1M
    $0.3902

Use this model through Nautili

Route requests to DeepSeek V3.2 through your Nautili gateway using a supported SDK or the Nautili SDK.

Connect your stack to Nautili

Route across supported providers through one control layer.