DeepSeek: R1 Distill Qwen 32B

Public pricingIntelligence 64/100Medium memory深度思考

DeepSeek: R1 Distill Qwen 32B 是一款文本模型，适合通用对话、分析与生产场景。它结合了稳定的通用表现、33K tokens上下文和低成本定位，可在general chat, analysis, and production workloads中提供可靠表现。它适合重视质量、速度与成本的团队，能带来稳定输出、灵活部署与扩展空间。 它适合需要稳定回答、较长上下文、清晰结构和可扩展部署的团队。 它适合需要稳定回答、较长上下文、清晰结构和可扩展部署的团队。 它适合需要稳定回答、较长上下文、清晰结构和可扩展部署的团队。 它适合需要稳定回答、较长上下文、清晰结构和可扩展部署的团队。 它适合需要稳定回答、较长上下文、清晰结构和可扩展部署的团队。 它适合需要稳定回答、较长上下文、清晰结构和可扩展部署的团队。

Input

$0.29/1M

Output

$0.29/1M

Cached

$0.03/1M

Batch

$0.06/1M

Calculate your R1 Distill Qwen 32B bill.

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What would R1 Distill Qwen 32B cost you?

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1,00010,00050,000250,0001M10M

Technical specifications

R1 Distill Qwen 32B at a glance.

Memory

32,768

tokens

Max reply

32,768

tokens

Memory tier

Medium

a long report or a codebase file

Tokenizer

qwen

Released

Jan 2025

Training cutoff

Jul 2024

Availability

Public pricing

Status

active

Benchmarks

Quality benchmarks

Independent evaluations from public leaderboards. Higher is better.

  • aime_2024

    72.6

  • bbh

    17.15

  • gpqa_diamond

    62.1

  • ifeval

    41.86

  • livecodebench

    57.2

  • math

    94.3

  • mmlu_pro

    40.96

What it can do

Capabilities & limits.

  • Understands images
  • Deep step-by-step thinking
  • Uses tools / calls functions
  • Strict JSON output
  • Streams replies
  • Fine-tunable on your data

When to pick R1 Distill Qwen 32B

  • Multi-step reasoning, research agents, or hard math.
  • High-volume workloads where unit cost matters.

When to look elsewhere

  • Your workload involves images — pick a vision-capable model instead.
  • You need tool-use / function calling for agent workflows.

Alternatives

Similar models to compare.

FAQ

R1 Distill Qwen 32B — the questions we see most.

Pricing, capabilities, alternatives — generated from the same data that powers the calculator above.

Get instant answers from our AI agent

At a typical workload of 50,000 conversations a month with 1,500-token prompts and 800-token replies, R1 Distill Qwen 32B costs roughly $33 per month. Input is $0.29 /1M tokens and output is $0.29 /1M tokens.
R1 Distill Qwen 32B has a 32,768-token context window (medium memory — a long report or a codebase file). That means you can fit about 6,144 words of input and history in a single call.
Beyond text generation, R1 Distill Qwen 32B supports deep step-by-step reasoning, strict JSON output. It streams replies by default.
R1 Distill Qwen 32B was released in January 2025, with training data cut off around July 2024.
Models in a similar class include DeepSeek V3.2 Exp, DeepSeek V3.2, DeepSeek V3.1 Terminus. The "Similar models" section below this FAQ links into each.

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