MiniMax M2.5
Pick this for long-context reasoning, multi-step planning, and tool calling — a 230B MoE reasoner whose explicit reasoning output surfaces in the playground.
MiniMaxAI/MiniMax-M2.5
About
MiniMax M2.5 is a 230B MoE reasoning transformer that emits reasoning chunks before the final content for transparency. It is a text-only model — image inputs are rejected by the gateway.Pricing
| Direction | Rate (USD) |
|---|---|
| Input | $0.45 / 1M tokens |
| Output | $1.80 / 1M tokens |
Capabilities
chatreasoningtool-use
Specs
- Context window: 196k tokens
- License: Apache-2.0
- Released: March 8, 2026
Recommended use cases
- Chat and instruction following
- Multi-step reasoning and planning
- Tool use and function calling
Benchmarks
Benchmarks fill in during Alpha. Tracked as a follow-up to RD-562.
Example prompts
- Walk through the trade-offs of three caching strategies for a read-heavy API and recommend one.
- Given this Go stack trace, identify the most likely root cause and suggest 3 next debugging steps.