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Available now on ModelsLab · Language Model

MiniMax: MiniMax M2.5Code Agents, Zero Cost

Try MiniMax: MiniMax M2.5API Documentation

Build Agents. Run Fast.

Agentic Mastery

80.2% SWE-Bench Verified

Handles full software engineering from design to testing in 10+ languages.

Ultra Speed

37% Faster Tasks

Matches Claude Opus 4.6 speed on complex agentic workflows like search and office automation.

Low Cost

$1 Per Hour

Runs continuously at 100 tokens/second via MiniMax M2.5 API for production agents.

Examples

See what MiniMax: MiniMax M2.5 can create

Copy any prompt below and try it yourself in the playground.

Code Refactor

“Analyze this Python codebase for a web scraper. Refactor for efficiency, add error handling, and generate unit tests. Output complete updated files.”

Excel Model

“Build Excel financial model from this dataset. Include cash flow projections, charts, and sensitivity analysis. Export as .xlsx with formulas.”

Agent Workflow

“Plan and execute multi-step task: Research latest AI benchmarks, summarize top 5 models, generate comparison table, and suggest integrations.”

UI Prototype

“Design React app for task manager. Decompose UI structure, generate components with Tailwind CSS, and include state management with Zustand.”

For Developers

A few lines of code.
Agents live. One call.

ModelsLab handles the infrastructure: fast inference, auto-scaling, and a developer-friendly API. No GPU management needed.

  • Serverless: scales to zero, scales to millions
  • Pay per token, no minimums
  • Python and JavaScript SDKs, plus REST API
API Documentation 
import requests


response = requests.post(
    "https://modelslab.com/api/v7/llm/chat/completions",
    json={
  "key": "YOUR_API_KEY",
  "prompt": "",
  "model_id": ""
}
)
print(response.json())

FAQ

Common questions about MiniMax: MiniMax M2.5

Read the docs

MiniMax M2.5 is a 230B parameter LLM excelling in coding, agentic tool use, and office tasks. It leads benchmarks like 80.2% SWE-Bench Verified. Supports 200k+ context for long workflows.

Achieves SOTA in agentic tasks 37% faster than M2.1. Handles search, tool calling, and office automation efficiently. Costs $1/hour at high throughput.

Scores 80.2% on SWE-Bench Verified and 51.3% Multi-SWE-Bench. Covers full dev lifecycle across web, mobile, desktop. Outputs production-ready code.

Trained on 200k+ real environments with RL for optimal task decomposition. Excels in office scenarios like Excel modeling and PPT generation. Low latency for agents.

Supports 200k+ tokens for document analysis and extended reasoning. Maintains consistency in long conversations and agent chains.

Runs at $1/hour for 100 tokens/second or $0.30 at 50 tokens/second. Enables cost-effective agentic apps without performance tradeoffs.

Ready to create?

Start generating with MiniMax: MiniMax M2.5 on ModelsLab.

Try MiniMax: MiniMax M2.5API Documentation