Qwen2.5-Coder-32B-Instruct

Code generation model Generally available Open Weights

Alibaba's flagship 32B open-weights code model featuring Apache 2.0 licensing, 128k context, and multi-language programming mastery.

Overview

Qwen2.5-Coder-32B-Instruct is Alibaba's flagship open-weights code language model released in November 2024. Built with 32.5 billion parameters, it achieves coding benchmark performance comparable to leading proprietary frontier models across Python, C++, Java, JavaScript, TypeScript, Go, and Rust. The model features a 131,072-token (128k) context window with up to 8,192 output tokens. It supports repository-level code comprehension, automated bug fixing, unit test generation, and structured tool calling. Published under the Apache 2.0 open-source license, Qwen2.5-Coder-32B-Instruct is downloadable for local deployment (via Ollama, vLLM, and LM Studio) and is hosted via Alibaba Cloud Model Studio API ($0.20 / 1M input tokens, $0.60 / 1M output tokens).

Technical Specifications

Context Window 131,072 tokens
Max Input Tokens 32,768
Max Output Tokens 8,192
Parameters 32.5B
Architecture Transformer
Released 2024-09-19

Modalities

Text → Text (Both)

Capabilities

Text Generation Code Generation Function Calling

Use Cases

Coding Assistance Code Review

Languages

English (en) Chinese (zh)

Access Routes

Route Type Protocol Region / Scope Provider Status
Alibaba Cloud Hosted API (Direct provider) OpenAI-compatible REST API Alibaba Cloud Available

Provider

Alibaba Cloud

Family: Qwen

Identifiers

  • qwen2.5-coder-32b-instruct Canonical identifier Default
  • Qwen/Qwen2.5-Coder-32B-Instruct Repository identifier Default

Compare

See how this model stacks up against others.

Compare with Other Models

Platform Status

Optix AI is under active development. Verified model records, pricing schemas, deployment guides, and published benchmark data are being added progressively. Our mission is to provide transparent AI model discovery and comparison with clearly sourced facts.

Data Verification: Ongoing curation and manual verification of model specifications against official sources.
Regular Updates: Addition of newly released commercial and open-source models as records are verified.
Developer First: Built with transparency, clearly sourced facts, and community feedback.