Comprehensive side-by-side LLM comparison
Qwen2.5-Coder 32B Instruct leads with 8.8% higher average benchmark score. Overall, Qwen2.5-Coder 32B Instruct is the stronger choice for coding tasks.
Alibaba / Qwen
Qwen2.5-Coder-32B-Instruct is a 32-billion-parameter code-specialized model from Alibaba, released in November 2024 and trained on a large corpus spanning 92 programming languages including C, Python, Java, Rust, and domain-specific languages. The model was designed to provide competitive code generation, repair, and reasoning capabilities as an open-weight alternative for developers building code assistant tools and automated review pipelines. Its 128K context window enables whole-file and multi-file code comprehension, making it particularly suited for complex repository-level tasks.
Alibaba / Qwen
Qwen3-235B-A22B, released by Alibaba's Qwen team on April 28, 2025, is a Mixture-of-Experts large language model with 235 billion total parameters and 22 billion active parameters per inference. It features a 256K token context window, hybrid thinking capabilities (both reasoning and direct generation modes), and was trained on 36 trillion tokens across 119 languages. Qwen3-235B targets complex reasoning, multilingual tasks, and open-source deployments under the Apache 2.0 license.
5 months newer
Qwen2.5-Coder 32B Instruct
Alibaba / Qwen
2024-11-12
Qwen3-235B-A22B
Alibaba / Qwen
2025-04-28
Context window and performance specifications
Average performance across 1 common benchmarks
Qwen2.5-Coder 32B Instruct
Qwen3-235B-A22B
Performance comparison across key benchmark categories
Qwen2.5-Coder 32B Instruct
Qwen3-235B-A22B
Available providers and their performance metrics
Qwen2.5-Coder 32B Instruct
Qwen3-235B-A22B
OpenRouter
Qwen2.5-Coder 32B Instruct
Qwen3-235B-A22B
Qwen2.5-Coder 32B Instruct
Qwen3-235B-A22B