Comprehensive side-by-side LLM comparison
Qwen3-VL-235B-A22B supports multimodal inputs. Both models have their strengths depending on your specific coding needs.
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-VL-235B-A22B, released by Alibaba's Qwen team in September 2025, is a natively multimodal Mixture-of-Experts large language model with 235 billion total parameters and 22 billion active parameters. It features a 256K token context window (with extrapolation to 1M tokens), native support for text, image, and video input, and joint visual-textual reasoning capabilities. Qwen3-VL-235B targets complex visual reasoning, video understanding, and multimodal agentic tasks under the Apache 2.0 license.
10 months newer
Qwen2.5-Coder 32B Instruct
Alibaba / Qwen
2024-11-12
Qwen3-VL-235B-A22B
Alibaba / Qwen
2025-09-23
Context window and performance specifications
Available providers and their performance metrics
Qwen2.5-Coder 32B Instruct
Qwen3-VL-235B-A22B
OpenRouter
Qwen2.5-Coder 32B Instruct
Qwen3-VL-235B-A22B
Qwen2.5-Coder 32B Instruct
Qwen3-VL-235B-A22B