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Comprehensive side-by-side LLM comparison
Both models show comparable benchmark performance. 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 Next is a coding-specialized open-weight model from Alibaba's Qwen3 family, built on the Qwen3-Next architecture with hybrid attention and Mixture-of-Experts design optimized for local development and agentic coding workflows. It targets on-device and self-hosted deployments requiring a capable coding agent that can operate within consumer hardware constraints.
9 days newer
Qwen3 Coder Next
Alibaba / Qwen
2026-02-04
Minimax M 2.5
MiniMax
2026-02-13
Context window and performance specifications
Average performance across 1 common benchmarks
Minimax M 2.5
Qwen3 Coder Next
Performance comparison across key benchmark categories
Minimax M 2.5
Qwen3 Coder Next
Available providers and their performance metrics
Minimax M 2.5
MiniMax
Qwen3 Coder Next
Minimax M 2.5
Qwen3 Coder Next
Minimax M 2.5
Qwen3 Coder Next