Qwen: QwQ 32B
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
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,..
Capabilities
Architecture Detail
| Instruct Type | qwq |
Benchmark Scores
Intelligence
Technical
Content
Benchmark data from Artificial Analysis and Hugging Face
How does Qwen: QwQ 32B stack up?
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Model Information
| OpenRouter ID |
qwen/qwq-32b
|
| Provider | qwen |
| Release Date | March 5, 2025 |
| Context Length | 131,072 tokens |
| Max Completion | 131,072 tokens |
| Status | Active |
Pricing
| Token Type | Cost per 1M tokens | Cost per 1K tokens |
|---|---|---|
| Input | $0.15 | $0.000150 |
| Output | $0.58 | $0.000580 |
External Resources
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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.
Data sourced from OpenRouter API, Artificial Analysis and Hugging Face Open LLM Leaderboard. Scores are editorially curated by our team.
Last updated: June 9, 2026 9:57 pm