MiniMax M2.7
MiniMax
MiniMax-M2.7 is a next-generation large language model designed for autonomous, real-world productivity and continuous improvement. Built to actively participate in its own evolution, M2.7 integrates advanced agentic capabilities through multi-agent...
What is MiniMax M2.7?
MiniMax-M2.7 is a next-generation large language model designed for autonomous, real-world productivity and continuous improvement. Built to actively participate in its own evolution, M2.7 integrates advanced agentic capabilities through multi-agent...
Specifications
- Developer: MiniMax
- Context window: 196.6K tokens
- Max output: — tokens
- Input modalities: text
- Output modalities: text
- Input price: $0.2600 per 1M tokens
- Output price: $1.20 per 1M tokens
- Knowledge cutoff: —
- Supported parameters: frequency_penalty, include_reasoning, logit_bias, logprobs, max_tokens, min_p, presence_penalty, reasoning, repetition_penalty, response_format, seed, stop, structured_outputs, temperature, tool_choice, tools, top_k, top_logprobs, top_p
Use MiniMax M2.7 with PromptLayer
PromptLayer lets teams manage, evaluate, and observe prompts that run on MiniMax M2.7 alongside every other model in their stack. Version prompts, run evals across models, and ship safe rollouts from the same dashboard.
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