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MiniMax open-sources M2, a low-cost model built for agents and coding

MiniMax-M2 at a glance

MiniMax-M2 launched with open weights and an API priced at $0.30 input and $1.20 output per million tokens, which MiniMax put at 8% of Claude Sonnet's price at about twice the speed.

What changed with MiniMax-M2

On October 27, 2025, MiniMax open-sourced and launched MiniMax-M2, a model designed for agents and code. MiniMax said it handles long chains of tool calls across a shell, browser, Python interpreter and MCP tools, and that it ranked in the global top five on the Artificial Analysis intelligence benchmark at launch.

The API was priced at $0.30 per million input tokens and $1.20 per million output tokens, with an inference speed of about 100 tokens per second; MiniMax described this as 8% of Claude Sonnet's price at roughly twice the speed, and offered a free trial for a limited period. Weights were published on Hugging Face under a modified MIT license, and MiniMax upgraded its MiniMax Agent product to run on M2.

MiniMax-M2 benchmarks and pricing

Values are copied from the linked source on the date shown. They are not IA Compa measurements.

Input price per 1M tokensas of · Source for Input price per 1M tokens: minimax.io (opens in a new tab)
$0.30
Output price per 1M tokensas of · Source for Output price per 1M tokens: minimax.io (opens in a new tab)
$1.20

How it compares

Other models in the same category that we have covered, using each model's latest recorded value. (Models)

Input price (USD per 1M tokens) · MiniMax-M2lower is better
Output price (USD per 1M tokens) · MiniMax-M2lower is better

Where to compare MiniMax-M2

Independent leaderboards and official resources for comparing this model yourself. Rankings change often; each site shows its own current data.

Why MiniMax-M2 matters for businesses

For businesses, M2 showed that open models had become competitive for agent workloads at a fraction of frontier pricing, which lowers the cost of always-on automations, provided the license and data handling fit your requirements.

Sources for this story

  1. Official
  2. MiniMaxAI/MiniMax-M2 (opens in a new tab)

    Hugging Face · huggingface.co

    Official
  3. MiniMax-M2 model page (opens in a new tab)

    Artificial Analysis · artificialanalysis.ai

    Benchmark

Last verified: . IA Compa summarizes public announcements for business readers. We are not affiliated with the companies mentioned. Always confirm details, pricing, and availability with the official source.

  • #llm
  • #minimax
  • #open-weights
  • #agents
  • #coding

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