MiniMax: MiniMax M2.1

MiniMax M2.1 is a text-in, text-out model from MiniMax with a 204,800-token context window and a maximum output of roughly 196,600 tokens, making it viable for long-document processing. It supports tool use and reasoning, which means it can handle multi-step agentic workflows and chain-of-thought tasks. Structured output support is unconfirmed, so applications that depend on guaranteed JSON schemas should be tested carefully before committing. At $0.29 per million input tokens and $0.95 per million output tokens, MiniMax M2.1 sits in the budget-to-mid tier of the market. Its blended benchmark score of 51.4 comes from a single benchmark, so performance claims are limited and not yet well-corroborated across diverse evaluations. Buyers who need a long-context, reasoning-capable model at a low input cost and can tolerate thinner third-party validation will find it worth a trial; those requiring well-benchmarked reliability should compare it against models with broader coverage first.