MiniMax releases M2.5 model with 80.2% on SWE-Bench Verified
Original titleMiniMaxAI/MiniMax-M2.5
AISummary
MiniMax has released M2.5, which it says reaches 80.2% on SWE-Bench Verified and 76.3% on BrowseComp with context management.
The company reports 37% faster end-to-end runtime than M2.1 on SWE-Bench Verified and prices M2.5 at $1 per hour at 100 tokens per second, with a 50 tokens per second version at $0.30 per hour.
Weights are available on Hugging Face, with inference support listed for SGLang, vLLM, Transformers, and KTransformers.
AIWhy it matters
The source gives benchmark scores against Claude and GPT models plus per-task token and runtime figures, so readers can weigh the cost-speed tradeoff directly.
Source: MiniMax · new models on Hugging Face · huggingface.coPublished · added here