TokenRate

MiniMax M2.7 Pricing

Fast

MiniMax · 205K tokens context

MiniMax M2.7 from MiniMax costs $0.180 per 1 million input tokens and $0.720 per 1 million output tokens as of July 2026 (live OpenRouter data). The model supports a 204,800-token context window (approximately 153,600 words) with a 197K-token maximum output. A typical 1,000-token request costs $0.0002 in input charges; a 10,000-token request costs $0.0018.

MiniMax M2.7 pricing and capability summary
Input price$0.180 / 1M tokens
Output price$0.720 / 1M tokens
Output / input ratio4.0×
Context window204,800 tokens (~153,600 words)
Maximum output196,608 tokens
Cost per 1K tokens (input)$0.0002
TierFast
Last verified

MiniMax-M2.7 is a next-generation large language model designed for autonomous, real-world productivity and continuous improvement.

Live pricing from OpenRouter

Input Price

$0.180

per 1 million tokens

Output Price

$0.720

per 1 million tokens

Context Window

205K tokens

max 197K output

Cost Examples

Request TypeTokensInput CostOutput Cost
1,000 word article1,333$0.00024$0.000288
10-page document (2,500 words)3,333$0.0006$0.00072
1,000 lines of code5,000$0.0009$0.00108
100K token document100,000$0.018$0.0216

Output cost estimated at 30% of input token count. Use the calculator for exact figures.

Strengths

  • Extremely cheap at $0.180/1M input tokens
  • Large 205K-token context window
  • Low latency for high-throughput workloads

Limitations

  • Less capable than flagship models on complex reasoning
  • Quality and availability can vary by hosting provider

Best Use Cases

High-volume classification
Text extraction and summarization
Simple chat and Q&A
Cost-sensitive pipelines

Calculate MiniMax M2.7 Costs

Use the TokenRate calculator to convert any budget, token count, or text into exact MiniMax M2.7 costs — and compare across all models.

Open Calculator →

MiniMax M2.7 — FAQ

Related Models

Related Guides