Qwen: QwQ 32B

Qwen: QwQ 32B

qwen · Released Mar 5, 2025 Professional
Intelligence #10 / 576
82.0 Our Score
Speed #258 / 268
30.9 tokens / sec
Input #248 / 576
$0.150 per 1M tokens
Output #268 / 576
$0.580 per 1M tokens
Context #234 / 576
131,072 tokens

Analysis Summary

Qwen QwQ 32B is a reasoning-capable model from Alibaba's Qwen team, with an intelligence index of 19.7 and a standout livecodebench score of 0.631 that places it well above its intelligence tier for coding tasks. It supports tool use and function calling, and offers a 131K context window. Math performance is moderate at 29.0.

For businesses, it is a strong fit for coding assistance, structured data tasks, and cost-sensitive workflows where coding quality matters. Its instruction-following score is modest, so it may need careful prompting for highly structured outputs. It lacks vision support, limiting its use in multimodal pipelines. As a Qwen/Alibaba model, enterprise procurement teams should verify availability and compliance requirements for their region.

At $0.15 input and $0.58 output per million tokens, it offers exceptional value for its coding capability. Development teams and technical users looking for a cost-effective coding assistant with tool use will find it a compelling option.

Assessed June 6, 2026

Editorial notes

Qwen QwQ 32B delivers strong coding performance with a livecodebench score of 0.631, tool use, function calling, and a 131K context window at very competitive pricing.

Rankings consider pricing, capabilities, benchmarks, and real-world applicability and are refreshed as new models launch. Feedback?

Performance Profile

Intelligence3.5Technical0Value7.8Content3.6
Intelligence 3.5/10
Technical 0/10
Content 3.6/10
Value 7.8/10

How Qwen: QwQ 32B compares

Qwen: QwQ 32B ranks #176 of 377 AI models we track for overall intelligence. Its 131K-token context window is larger than 59% of the models we list. At $0.15 per million input tokens it is cheaper than 57% of comparable models.

About Qwen: 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,..

32B Parameters

Capabilities

Tool Use Function Calling

Architecture Detail

Instruct Typeqwq

Performance Indices

Source: Artificial Analysis

19.7 Intelligence Index
29 Math Index

Benchmark Scores

Intelligence

GPQA Diamond 59.3% Graduate-level scientific reasoning
HLE 8.2% Humanity's Last Exam
MMLU Pro 76.4% Multi-task language understanding
MATH 500 95.7% Mathematical problem-solving
AIME 78% Competition mathematics
AIME 2025 29% Competition mathematics (2025)
SciCode 35.8% Scientific computing

Technical

LiveCodeBench 63.1% Live coding evaluation

Content

IFBench 38.8% Instruction following
LCR 25% Long-context reasoning

Benchmark data from Artificial Analysis and Hugging Face

How does Qwen: QwQ 32B stack up?

Compare side-by-side with other professional models.

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Model Information

OpenRouter ID qwen/qwq-32b
Providerqwen
Release Date March 5, 2025
Context Length131,072 tokens
Max Completion131,072 tokens
Status Active

Pricing

Token Type Cost per 1M tokens Cost per 1K tokens
Input $0.15 $0.000150
Output $0.58 $0.000580

Leaderboard Categories

Frequently asked questions about Qwen: QwQ 32B

How much does Qwen: QwQ 32B cost?

Qwen: QwQ 32B costs $0.15 per million input tokens and $0.58 per million output tokens.

What is the context window of Qwen: QwQ 32B?

Qwen: QwQ 32B has a context window of 131,072 tokens (131K).

What can Qwen: QwQ 32B do?

Qwen: QwQ 32B supports tool use and function calling.

Who created Qwen: QwQ 32B?

Qwen: QwQ 32B is developed by Qwen and was released on March 5, 2025.