Creator
MiniMax
Released
2025-10-26
Intelligence
28.3
Artificial Analysis Index
Coding
—
Artificial Analysis Index
In $/1M
$0.30
input tokens
Out $/1M
$1.20
output tokens
Blended $/1M
$0.53
3:1 blended
Speed
0
tokens / sec
Profile
License, openness, and modality — the governance layer.
License
MIT
commercial OK
Weights
Open
downloadable
Modalities
Text
Parameters
230B
total
MiniMax M2 is an open-source large language model by MiniMax, built for agents and coding tasks. It delivers state-of-the-art tool use, reasoning, and search performance while maintaining exceptional cost-efficiency and speed, priced at just 8% of Claude 3.5 Sonnet’s cost and running at nearly double its inference speed (≈100 TPS). Designed for end-to-end agentic workflows, it excels at long-chain tool calling across Shell, Browser, Python, and other MCP tools. While slightly behind top overseas models in programming, it ranks among the best domestic models and top five globally on the Artificial Analysis benchmark. M2 powers the MiniMax Agent platform, available in Lightning Mode for fast tasks and Pro Mode for complex multi-step reasoning, and its weights, API, and deployment guides are freely available on Hugging Face, vLLM, and SGLang.
Capability profile
Category strength across 20 domains, via LLM Stats.
Benchmark breakdown
Independent evaluation scores, normalized to 0–100.
Providers
Inference hosts serving this model — their own pricing and measured performance, cheapest input first.
2 hosts · via LLM Stats