MiniMax M2.1
Provider：MiniMax
MiniMax-M2.1 is a lightweight, state-of-the-art large language model optimized for coding, agentic workflows, and modern application development. With only 10 billion activated parameters, it delivers a major jump in real-world...
Key specs
- Context：204.8K
- Max output：131.1K
- Tokenizer：Other
- Released：2025-12-23
Token pricing
- Input price：$0.300 / 1M tokens
- Output price：$1.20 / 1M tokens
- Cache read：$0.030 / 1M tokens
- Blended price：$0.525 / 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.（≈ $0.0096/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.
- Low input + output price: solid fit for high-frequency calls and batch processing.
- Long max output (>=30K tokens): strong fit for deep report / essay / document-drafting workflows.
FAQ
- What is the token pricing of MiniMax M2.1? Input price $0.300 / 1M tokens, output price $1.20 / 1M tokens, blended about $0.525 / 1M tokens. Refer to MiniMax’s official page for the exact rate.
- What context window does MiniMax M2.1 support? Context window is 204.8K, max output about 131.1K, suitable for long documents, multi-turn chat and complex reasoning.
- What scenarios is MiniMax M2.1 best for? Based on its capability and pricing, MiniMax M2.1 fits best: Deep Reasoning & Analysis. See the Use Cases section for details and cost estimates.
- What input/output modalities does MiniMax M2.1 support? Supports Text modality.
- Is MiniMax M2.1 a free model? MiniMax M2.1 is billed per token, not a free model.
- Which provider offers MiniMax M2.1? MiniMax M2.1 is offered by MiniMax.
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Full info：MiniMax M2.1