MiniMax M2.5

MiniMax M2.5, released in February 2026, is a text model from MiniMax built for coding, agentic tool use, and office productivity. According to MiniMax, it was extensively trained with reinforcement learning across more than 200,000 complex real-world environments using the company's Forge agent-native RL framework and CISPO algorithm, with a process-reward mechanism for monitoring generation quality in long-context agent rollouts. The catalog lists a 198K-token context window plus reasoning, code-optimization, function-calling, and web-search capabilities.

Against its same-family predecessor M2.1, MiniMax reports concrete gains. On the provider's reported SWE-Bench Verified, M2.5 scores 80.2% while completing the evaluation about 37% faster than M2.1—end-to-end runtime dropping from 31.3 to 22.8 minutes and tokens per task falling from 3.72M to 3.52M. MiniMax also reports 51.3% on Multi-SWE-Bench and 76.3% on BrowseComp with context management. A notable behavioral change is M2.5's tendency to decompose and plan features, structure, and UI like a software architect before coding.

MiniMax positions M2.5 for the full development lifecycle across Web, Android, iOS, Windows, and Mac, and for workspace tasks such as financial modeling and report generation. A higher-throughput M2.5-highspeed variant is also offered.

M2.5 was later succeeded within the family by MiniMax M2.7, MiniMax M3, and MiniMax M3 Preview, all sharing the same coding-and-agentic focus. For deployment, MiniMax recommends vLLM or SGLang.

Sources

MiniMax M2.5: Built for Real-World Productivity. - MiniMax News | MiniMax· minimax.ioMiniMaxAI/MiniMax-M2.5 · Hugging Face· huggingface.co

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