Qwen

Qwen2.5 Coder 32B Instruct

qwen/qwen-2.5-coder-32b-instruct

Qwen2.5-Coder is the latest series of Code-Specific Qwen large language models (formerly known as CodeQwen).

  • Context window: 32,768 tokens
  • Input: text
  • Output: text
  • Pricing: $0.66/M input tokens, $1/M output tokens

Community sentiment

Positive (+67) — 1 positive, 0 negative, 1 neutral across 2 community samples from X and the web, as of 2026-10-20.

Community references show Qwen2.5-Coder 32B Instruct being included among recommended local coding models (noting ~20 GB RAM/local use suitability), while an announcement reports the model’s retirement. Overall discussion is informational rather than strongly evaluative.

  • “Best Local LLMs for Coding 2026: Qwen3.8 27B, Devstral, Laguna — # Best Local LLMs for Coding in 2026 ## How Do Coding Models Compare? SWE-bench + HumanEval | Model | HumanEval | SWE-bench | RAM | FIM | |-|-|-|-|-| | Qwen2.5-Coder 32B | — | — | 20 GB | Yes |” — the web
  • “🟡 Qwen2.5-Coder 32B Instruct retires https://t.co/EPYDl17Hb5” — X

View on OpenRouter. Model data sourced from OpenRouter.