DeepSeek: R1 Distill Qwen 32B

Public pricingIntelligence 64/100Medium memoryगहरी सोच

DeepSeek: R1 Distill Qwen 32B एक टेक्स्ट मॉडल है, जिसे सामान्य चैट, विश्लेषण और production use के लिए बनाया गया है। यह स्थिर general-purpose प्रदर्शन, 33K tokens का context और कम लागत profile जोड़कर general chat, analysis, and production workloads में भरोसेमंद काम करता है। यह तब व्यावहारिक विकल्प है जब गुणवत्ता, गति और लागत महत्वपूर्ण हो, खासकर उन टीमों के लिए जिन्हें स्थिर output,

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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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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