MiniMax-M1 is a large-scale, open-weight reasoning model designed for extended context and high-efficiency inference. It leverages a hybrid Mixture-of-Experts (MoE) architecture paired with a custom "lightning attention" mechanism, allowing it...
Tested on 1 benchmarks. Top scores: Chatbot Arena Elo · Overall (1363.9%).
Chatbot Arena overall Elo rating. Crowdsourced human preference ranking from blind head-to-head comparisons across all topics.
- Typetext
- Context1.0M tokens (~500 books)
- ReleasedJun 2025
- LicenseProprietary
- StatusActive
- Cost / Message~$0.003
Frequently Asked Questions
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Chatbot Arena Elo · OverallKey facts · as of 2026-11-09
- MiniMax M1 by minimax. Not enough public benchmark scores to rank yet.
- List price $0.55 input · $2.20 output per 1M tokens (as of 2026-11-09).
How to cite · data as of 2026-11-09
MiniMax M1 · benchmarks, pricing and providers. BenchGecko, data as of 2026-11-09. https://benchgecko.ai/model/minimax-m1
Credit "Source: BenchGecko" with a link. Prices per provider and Gecko Tests are BenchGecko data (CC BY 4.0); benchmark scores keep their original source, listed in the JSON. JSON · llms.txt · MCP