Qwen: QwQ 32B

Public pricingIntelligence 58/100Medium memoryГлубокое рассуждениеРабота с инструментами

Qwen: QwQ 32B — это текстовой‑модель для рассуждение и решение задач. Она сочетает глубокое рассуждение и планирование, контекст 131K tokens и профиль недорогой, обеспечивая надёжную работу в задачах reasoning, analysis, and hard problem solving. Это практичный выбор, когда важен качество, скорость и стоимость, особенно для команд, которым нужны стабильные ответы,

Input

$0.15/1M

Output

$0.58/1M

Cached

$0.01/1M

Batch

$0.07/1M

Calculate your QwQ 32B bill.

Set your workload — see cost at your exact volume.

What would QwQ 32B cost you?

Adjust the workload to see your monthly bill.

1,00010,00050,000250,0001M10M

Technical specifications

QwQ 32B at a glance.

Memory

131,072

tokens

Max reply

131,072

tokens

Memory tier

Medium

a long report or a codebase file

Tokenizer

qwen

Released

Mar 2025

Training cutoff

Oct 2024

Availability

Public pricing

Status

active

Benchmarks

Quality benchmarks

Independent evaluations from public leaderboards. Higher is better.

  • aime_2024

    79.5

  • bbh

    2.87

  • ifeval

    83.9

  • livecodebench

    63.4

  • mmlu_pro

    2.18

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 QwQ 32B

  • Multi-step reasoning, research agents, or hard math.
  • Agentic workflows that call tools or APIs.
  • High-volume workloads where unit cost matters.

When to look elsewhere

  • Your workload involves images — pick a vision-capable model instead.

Alternatives

Similar models to compare.

FAQ

QwQ 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, QwQ 32B costs roughly $34 per month. Input is $0.15 /1M tokens and output is $0.58 /1M tokens.
QwQ 32B has a 131,072-token context window (medium memory — a long report or a codebase file). That means you can fit about 24,576 words of input and history in a single call.
Beyond text generation, QwQ 32B supports deep step-by-step reasoning, calling functions / tools, strict JSON output, fine-tuning on your own data. It streams replies by default.
QwQ 32B was released in March 2025, with training data cut off around October 2024.
Models in a similar class include Qwen3 Coder Next, Qwen3.5-35B-A3B, Qwen3 235B A22B Thinking 2507. The "Similar models" section below this FAQ links into each.

Still unsure?

Compare QwQ 32B against 100+ other models.

Open the full wizard — pick a use case, set your usage, and see side-by-side monthly costs in under a minute.

Open the comparison wizard