M2.5

LLM

MiniMax

MiniMax M2.5 is a text-based model designed for agentic tasks and coding, with strong tool-calling, planning, and long-chain task execution. It supports a 1M-token context window and up to 8,192 output tokens.

Context tokens

1,000,000

Output tokens

8,192

Docs

Model documentation

Released

Jun 16, 2025

Schema

Schema documentation

Capabilities

Tool use

Structured output

Multilingual

Supported languages

Supported tools

Seclai Web Tools
Fetch web pages and search the web from within agent prompt calls. Includes seclai_web_fetch for retrieving page content in markdown, HTML, or plain text, and seclai_web_search for finding relevant pages with content snippets.

Pricing

Type	Credits	Units
Input	3.99	Credits per 1k tokens
Output	15.96	Credits per 1k tokens

Variants