MiniMax-M2.7 is a large language model built for autonomous, real-world productivity and continuous improvement. Designed to take an active role in its own development, M2.7 incorporates advanced agent capabilities through multi-agent collaboration, allowing it to plan, execute, and improve complex tasks across dynamic environments. Trained for production-level performance, M2.7 supports workflows such as live debugging, root cause analysis, financial modeling, and full document creation across Word, Excel, and PowerPoint. It delivers strong benchmark results, including 56.2% on SWE-Pro and 57.0% on Terminal Bench 2, while reaching 1495 ELO on GDPval-AA, setting a new benchmark for multi-agent systems in real-world digital workflows.
$0.105market price $0.21
$0.021market price $0.042
$0.42market price $0.84
Throughput is how fast the model writes (tokens per second, higher is better). Time to first token is how long before the answer starts (lower is better).
Share of requests served without a server error. Client errors (4xx) do not count.
Works with the OpenAI SDK pointed at our base URL. Every parameter is in the API reference.
Tokens processed per day on NagaAI.
MiniMax-M2.7 is a large language model built for autonomous, real-world productivity and continuous improvement.
On NagaAI, MiniMax M2.7 costs $0.105 per 1M input tokens and $0.42 per 1M output tokens. You pay only for what you use, with no subscription.
MiniMax M2.7 reads up to 204.8k tokens in one request, counting the prompt and the answer together.
Yes. MiniMax M2.7 can call your functions as tools and can answer in a JSON schema you give it.
It takes text as input and returns text.
Create an API key, copy the model ID from the top of this page and send requests with the OpenAI or Anthropic SDK pointed at NagaAI. The API section on this page has a ready example.
MiniMax M3.1 FlashMinimaxMiniMax M3MinimaxMiniMax M2.5MinimaxMiniMax M2.1Minimax$0.15 / $0.60 per 1MMiniMax M2Minimax$0.128 / $0.51 per 1MMiniMax M1Minimax