Qwen2.5 Coder 32B Instruct

Qwen2.5 Coder 32B Instruct is a text-in, text-out coding-focused model from Qwen with a 128,000-token context window and a maximum of 32,768 output tokens. It does not support tool use, reasoning modes, or structured output, so workflows that depend on those features will need a different option. Benchmark coverage is thin, with a blended score of 15.2 drawn from a single benchmark (aider_polyglot at 16.4), which makes cross-model comparisons uncertain rather than definitive. The pricing sits at $0.66 per million input tokens and $1.00 per million output tokens, positioning it as a mid-range option on cost. Developers running high-volume code generation tasks on a budget may find it worth testing, but the limited benchmark data means confidence in its standing against comparable models is low; shortlisting it should come with direct evaluation against your own use cases.