AI Observatory / Model Radar
Minimax / minimax/minimax-m2.7
MiniMax: 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...
196,608
Context
131,072
Max output
$0.30 / 1M
Prompt price
2026-03-18
Created
01 / Snapshot
Pricing, context, modalities, and parameters.
Model Radar detail pages stay neutral and operator-readable: core metadata first, then workflow fit.
| Provider | Minimax | Input modalities | text |
|---|---|---|---|
| Output modalities | text | Prompt price | $0.30 / 1M |
| Completion price | $1.20 / 1M | Request price | N/A |
| Context length | 196,608 | Max completion tokens | 131,072 |
| 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 | ||
Best for
minimax/minimax-m2.7
MiniMax: 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...
High-volume usage
Coding workflows
new
tool-capable
low-cost
03 / Colophon
Routes and exits.
Each model page stays simple: overview, compare, related models, then back to the public hub.