Qwen: Qwen2.5 Coder 7B Instruct
Qwen2.5 Coder 7B Instruct is an extremely affordable small coding model from Alibaba's Qwen team, priced at just $0.03/1M input tokens. Benchmark performance is limited given its size, but it may serve as a lightweight code-assist tool in cost-constrained environments where output quality expectations are modest.
Assessment date: April 16, 2026
Our methodology takes into account a range of factors including pricing, functionality, capabilities, benchmark performance, and real-world applicability. Rankings are reviewed and updated regularly as new models are released. Issues with our rankings? Contact us
Performance Profile
Qwen2.5-Coder-7B-Instruct is a 7B parameter instruction-tuned language model optimized for code-related tasks such as code generation, reasoning, and bug fixing. Based on the Qwen2.5 architecture, it incorporates enhancements like RoPE,..
Architecture
| Modality | Text → Text |
| Tokenizer | Qwen |
| Parameters | 7B |
Benchmark Scores
Intelligence
Technical
Benchmark data from Artificial Analysis and Hugging Face
How does Qwen: Qwen2.5 Coder 7B Instruct stack up?
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Model Information
| OpenRouter ID |
qwen/qwen2.5-coder-7b-instruct
|
| Provider | qwen |
| Release Date | April 15, 2025 |
| Context Length | 32,768 tokens |
| Status | Active |
Pricing
| Token Type | Cost per 1M tokens | Cost per 1K tokens |
|---|---|---|
| Input | $0.03 | $0.000030 |
| Output | $0.09 | $0.000090 |
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: April 16, 2026 8:54 pm