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Comprehensive side-by-side LLM comparison
Qwen3-VL-235B-A22B offers 66.2K more tokens in context window than Minimax M 2.5. Both models have similar pricing. Qwen3-VL-235B-A22B supports multimodal inputs. Both models have their strengths depending on your specific coding needs.
MiniMax
MiniMax M2.5 is a large language model from MiniMax extensively trained with reinforcement learning across hundreds of thousands of complex real-world environments. It targets agentic tool use, coding automation, and office productivity tasks, with strong results on software engineering and web browsing benchmarks. M2.5 represents the next generation of MiniMax's M-series models optimized for production agentic workloads.
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.
4 months newer
Qwen3-VL-235B-A22B
Alibaba / Qwen
2025-09-23
Minimax M 2.5
MiniMax
2026-02-13
Cost per million tokens (USD)
Minimax M 2.5
Qwen3-VL-235B-A22B
Context window and performance specifications
Available providers and their performance metrics
Minimax M 2.5
MiniMax
Qwen3-VL-235B-A22B
OpenRouter
Minimax M 2.5
Qwen3-VL-235B-A22B
Minimax M 2.5
Qwen3-VL-235B-A22B