Qwen2.5 Coder 32B Instruct
Analysis Summary
Qwen2.5 Coder 32B Instruct sits in the Efficient tier on our leaderboard, ranked #265 of 556 published models on overall intelligence. At $0.660 input and $1.00 output per 1M tokens, it is among the most expensive on the market. It offers a standard large context window.
Editorial notes
Qwen2.5 Coder 32B Instruct is a specialist coding model with a reasonable livecodebench score of 0.295 and competitive pricing, though its 32K context and lack of tool use limit broader business applicability.
Assessed May 14, 2026
Rankings consider pricing, capabilities, benchmarks, and real-world applicability and are refreshed as new models launch. Feedback?
Performance Profile
Qwen2.5-Coder is the latest series of Code-Specific Qwen large language models (formerly known as CodeQwen). Qwen2.5-Coder brings the following improvements upon CodeQwen1.5: - Significantly improvements in **code generation**, **code reasoning**..
Architecture Detail
| Instruct Type | chatml |
Benchmark Scores
Intelligence
Technical
Benchmark data from Artificial Analysis and Hugging Face
How does Qwen2.5 Coder 32B Instruct stack up?
Compare side-by-side with other efficient models.
Model Information
| OpenRouter ID |
qwen/qwen-2.5-coder-32b-instruct
|
| Provider | qwen |
| Release Date | November 11, 2024 |
| Context Length | 128,000 tokens |
| Status | Active |
Pricing
| Token Type | Cost per 1M tokens | Cost per 1K tokens |
|---|---|---|
| Input | $0.66 | $0.000660 |
| Output | $1.00 | $0.001000 |
Live Performance
Live endpoint metrics — refreshed every 30 minutes.
Leaderboard Categories
External Resources
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Data sourced from OpenRouter API, Artificial Analysis and Hugging Face Open LLM Leaderboard. Scores are editorially curated by our team.
Last updated: May 16, 2026 8:38 pm