MiniMax M1
Provider：MiniMax
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...
Key specs
- Context：1M
- Max output：40K
- Tokenizer：Other
- Released：2025-06-17
Token pricing
- Input price：$0.550 / 1M tokens
- Output price：$2.20 / 1M tokens
- Blended price：$0.963 / 1M tokens
Modalities
Text
Use Cases
- Deep Reasoning & Analysis：Process long legal docs, academic papers, financial reports; multi-hop reasoning and evidence-chain tracing across huge contexts.（≈ $0.018/call）
When to pick this model
Signals derived from public pricing and spec fields — not a benchmark. Validate with official docs and your own eval.
- Long context (>=1M tokens): well-suited for long-doc QA, code-base analysis, multi-turn agents.
- Long max output (>=30K tokens): strong fit for deep report / essay / document-drafting workflows.
FAQ
- What is the token pricing of MiniMax M1? Input price $0.550 / 1M tokens, output price $2.20 / 1M tokens, blended about $0.963 / 1M tokens. Refer to MiniMax’s official page for the exact rate.
- What context window does MiniMax M1 support? Context window is 1M, max output about 40K, suitable for long documents, multi-turn chat and complex reasoning.
- What scenarios is MiniMax M1 best for? Based on its capability and pricing, MiniMax M1 fits best: Deep Reasoning & Analysis. See the Use Cases section for details and cost estimates.
- What input/output modalities does MiniMax M1 support? Supports Text modality.
- Is MiniMax M1 a free model? MiniMax M1 is billed per token, not a free model.
- Which provider offers MiniMax M1? MiniMax M1 is offered by MiniMax.
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Full info：MiniMax M1