MiniMax-M1
Overview
MiniMax-M1 is a open reasoning model from MiniMax, released in 2025. It accepts text as input and produces text. With a context window of 1M tokens, it is well suited to long-context reasoning and agentic tasks.
Capabilities
On reasoning, MiniMax-M1 is rated excellent, while its coding ability is very good. Multimodal support: No. These characteristics make it a strong fit for long-context reasoning and agentic tasks. As with any frontier system, real-world performance depends heavily on how you prompt and integrate it.
Availability & Pricing
MiniMax-M1 is accessible via an API. Pricing model: Open weights (Apache 2.0). Availability and pricing for AI models change frequently; confirm the latest details from MiniMax before building on it.
Best Use Cases
The sweet spot for MiniMax-M1 is long-context reasoning and agentic tasks. Teams choosing a model should weigh context length, cost, latency and modality against their workload — MiniMax-M1 is a particularly good match when those priorities align with its strengths.