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Comprehensive side-by-side LLM comparison
Qwen3-Max offers 66.2K more tokens in context window than Minimax M 2.5. Both models have similar pricing. 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-Max, released by Alibaba in September 2025 as an API preview, is a large language model exceeding one trillion parameters built for complex reasoning and long-context tasks. It features a 262K token context window, hybrid thinking modes that allow switching between direct generation and extended chain-of-thought, and is available as a proprietary cloud API via Alibaba Cloud and Qwen Chat. Qwen3-Max targets demanding reasoning, multilingual analysis, and applications requiring frontier-level performance from the Qwen3 generation.
5 months newer
Qwen3-Max
Alibaba / Qwen
2025-09-05
Minimax M 2.5
MiniMax
2026-02-13
Cost per million tokens (USD)
Minimax M 2.5
Qwen3-Max
Context window and performance specifications
Available providers and their performance metrics
Minimax M 2.5
MiniMax
Qwen3-Max
OpenRouter
Minimax M 2.5
Qwen3-Max
Minimax M 2.5
Qwen3-Max