Comprehensive side-by-side LLM comparison
Both models have similar pricing. Qwen3-VL-235B-A22B supports multimodal inputs. Both models have their strengths depending on your specific coding needs.
Alibaba / Qwen
Qwen3-Coder-480B-A35B-Instruct, released by Alibaba's Qwen team on July 22, 2025, is a Mixture-of-Experts large language model with 480 billion total parameters and 35 billion active parameters per inference, specifically designed for agentic coding tasks. It features a 256K token native context window (extendable to 1M tokens with extrapolation) and demonstrated competitive performance on agentic coding, browser automation, and tool-use benchmarks. Qwen3-Coder-480B targets automated software engineering, multi-step code agents, and open-source coding deployments under the Apache 2.0 license.
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.
2 months newer
Qwen3-Coder-480B
Alibaba / Qwen
2025-07-22
Qwen3-VL-235B-A22B
Alibaba / Qwen
2025-09-23
Cost per million tokens (USD)
Qwen3-Coder-480B
Qwen3-VL-235B-A22B
Context window and performance specifications
Available providers and their performance metrics
Qwen3-Coder-480B
OpenRouter
Qwen3-VL-235B-A22B
OpenRouter
Qwen3-Coder-480B
Qwen3-VL-235B-A22B
Qwen3-Coder-480B
Qwen3-VL-235B-A22B