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Seclai

Seclai

M2

LLM
MiniMax

MiniMax M2 is a text model built for agentic workflows and coding. It handles long-context tasks up to 1M tokens, excels at multi-step tool calling, and supports end-to-end development across tools like Cursor and Claude Code.

Context tokens

1,000,192

Output tokens

8,192

Docs

Model documentation

Released

Jun 16, 2025

Schema

Schema documentation

Capabilities

Tool use
Structured output

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

TypeCreditsUnits
Input3.99Credits per 1k tokens
Output15.96Credits per 1k tokens

Variants

No variants available for this model.

Try This Model

Write a prompt and experiment with M2 in the model experiments page. You can compare it with other models side by side.