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Comprehensive side-by-side LLM comparison
Qwen3-Coder-480B 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-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.
6 months newer
Qwen3-Coder-480B
Alibaba / Qwen
2025-07-22
Minimax M 2.5
MiniMax
2026-02-13
Cost per million tokens (USD)
Minimax M 2.5
Qwen3-Coder-480B
Context window and performance specifications
Available providers and their performance metrics
Minimax M 2.5
MiniMax
Qwen3-Coder-480B
OpenRouter
Minimax M 2.5
Qwen3-Coder-480B
Minimax M 2.5
Qwen3-Coder-480B