AlibababalancedTool use

QwQ 32B

QwQ is the reasoning model of the Qwen series. Compared with conventional instruction-tuned models, QwQ, which is capable of thinking and reasoning, can achieve significantly enhanced performance in downstream tasks, especially hard problems. QwQ-32B is the medium-sized reasoning model, which is capable of achieving competitive performance against state-of-the-art reasoning models, e.g., DeepSeek-R1, o1-mini.

131K context·~98K words·131K max output
Context window131Ktokens
Max output131Ktokens

Context window

This model accepts 131K tokens in one request (~98K words of text).

Context window size131K tokens
4K32K128K1M10M

What fits in one request

  • Short document
    About 1,500 words of text
    Fits
  • Long document
    About 37K words of text
    Fits
  • Small codebase
    About 150K words of text
    Won't fit
  • Full novel
    About 375K words of text
    Won't fit

Specifications

Context size, pricing, and release info in one place.

Context window
131,072 tokens (131K)
Max output tokens
131,072 tokens (131K)
Speed tier
balanced
Provider
Alibaba
Release date
Mar 2025
Input cost
$0.150/M / 1M tokens
Output cost
$0.400/M / 1M tokens

Capabilities

See which features this model supports, such as vision, tools, and streaming.

Supported (4)
Tool use
Supported
Function calling
Supported
Extended thinking
Supported
Streaming
Supported
Not supported (4)
Vision
Not supported
Web search
Not supported
Batch API
Not supported
Prompt caching
Not supported

Best for

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Frequently asked questions

Short answers about context size and how this model behaves.

QwQ 32B has a context window of 131K tokens (131,072 tokens). This covers most professional use cases including large code files, lengthy reports, and long conversation histories.

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