MiniMax M2.7
Provider：MiniMax
MiniMax-M2.7 is a next-generation large language model designed for autonomous, real-world productivity and continuous improvement. Built to actively participate in its own evolution, M2.7 integrates advanced agentic capabilities through multi-agent...
Key specs
- Context：204.8K
- Max output：131.1K
- Tokenizer：Other
- Released：2026-03-18
Token pricing
- Input price：$0.300 / 1M tokens
- Output price：$1.20 / 1M tokens
- Cache read：$0.060 / 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 M2.7? 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 M2.7 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 M2.7 best for? Based on its capability and pricing, MiniMax M2.7 fits best: Deep Reasoning & Analysis. See the Use Cases section for details and cost estimates.
- What input/output modalities does MiniMax M2.7 support? Supports Text modality.
- Is MiniMax M2.7 a free model? MiniMax M2.7 is billed per token, not a free model.
- Which provider offers MiniMax M2.7? MiniMax M2.7 is offered by MiniMax.
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Full info：MiniMax M2.7