MiniMax

MiniMax M2.7

minimax-m2.7

A MiniMax model for agent and coding tasks

MiniMax-M2.7 is built for complex instructions, code generation, multi-step reasoning, and agent scenarios. It fits applications that need stable tool use, long task execution, and strong cost efficiency.

205K context205K context
Released2026-04
Relays24 sites
Agent tasksCode generationMulti-step reasoningCost-efficient apps

Model information

Model ID
minimax-m2.7
Context
204.8K
Max input
-
Max output
131.1K
Knowledge cutoff
-
Open weights
Supported
License
-
Release date
2026-04

Input

Text: SupportedImage: Not supportedAudio: Not supportedVideo: Not supportedPDF: Not supportedFile: Not supported

Output

Text: SupportedImage: Not supportedAudio: Not supportedVideo: Not supported

API capabilities

Reasoning: SupportedTool call: SupportedStructured output: UnknownTemperature: Supported

MiniMax Official Pricing

CNY
Updated: 2026-04-01T00:00:00.000+08:00Source

Input

¥2.1/ 1M tokens

Output

¥8.4/ 1M tokens

Cache read

¥0.42/ 1M tokens

Cache write

¥2.625/ 1M tokens

Relay Comparison

Compare token, per-request, or per-second pricing by relay channel.

How should MiniMax M2.7 relay pricing be compared?

This MiniMax M2.7 pricing page compares official pricing with public prices from 24 listed AI gateways. Token prices are shown in CNY per 1M tokens, while per-request, per-second, and per-character rows use the unit shown in the table. Last updated: 11/08/2026, 08:15.

Data sources
Public price catalogs, official pricing records, and monitoring results.
Metric definitions
Uptime means successful probe response rate, fake-rate signals possible model mismatch or abnormal output risk, and latency is average API response time.
Risk note
Relay gateways are third-party services. Pricing, billing, privacy, and stability can change; start with a small top-up and verify reliability before continued use.