Models · MiniMax
MiniMax M2.7
MiniMax M2.7 is a fast, cost-efficient model well-suited for everyday tasks. It delivers reliable performance for classification, extraction, and content generation at a very accessible price point.
Input $0.30 per 1M tokens
Output $1.20 per 1M tokens
Context 128K tokens · $1.50 combined per 1M
Benchmark performance
Source: Artificial Analysis. Updated 2026-09-20.
Key strengths
- — Fast inference for real-time apps
- — Very cost-efficient
- — Good for standard NLP tasks
- — Reliable and consistent outputs
Best use cases
- Real-time content moderation
- Text classification and tagging
- Simple content generation
- Chatbot and customer service applications
Pricing details
| Input (per 1M tokens) | $0.30 |
| Output (per 1M tokens) | $1.20 |
| Context window | 128K tokens |
| Architecture | Efficient MiniMax transformer, 128K context, optimized for speed and cost |
| Provider | MiniMax |
Fast, cost-efficient
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Pricing data is sourced from official API documentation and updated weekly. Actual costs may vary based on prompt caching, batch processing, service tiers, and regional pricing. Inblix is not affiliated with MiniMax.