Qwen2.5 Coder 7B Instruct
7Bby Qwen
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, SwiGLU, RMSNorm, and GQA attention with support for up to 128K tokens using YaRN-based extrapolation. It is trained on a large corpus of source code, synthetic data, and text-code grounding, providing robust performance across programming languages and agentic coding workflows. This model is part of the Qwen2.5-Coder family and offers strong compatibility with tools like vLLM for efficient deployment. Released under the Apache 2.0 license.
Specifications
Technical details and pricing.
Benchmarks
7 benchmark scores from Artificial Analysis.
Composite Indices
Intelligence, Coding, Math
Standard Benchmarks
Academic and industry benchmarks
Frequently Asked Questions
What is Qwen2.5 Coder 7B Instruct good for?
Use Qwen2.5 Coder 7B Instruct for everyday tasks like writing, summarizing, brainstorming, and getting clear explanations.
How much does Qwen2.5 Coder 7B Instruct cost?
Pricing is based on usage. Current rates are $0.00/1M tokens for input and $0.00/1M tokens for output.
Can I try Qwen2.5 Coder 7B Instruct for free?
Yes. You can start a chat instantly and test the model before deciding on a plan.
Does Qwen2.5 Coder 7B Instruct support images or audio?
Qwen2.5 Coder 7B Instruct focuses on text-based tasks.
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Benchmarks and pricing are sourced from Artificial Analysis where available. OpenRouter specs are used as a fallback.