MiniMax-M2.7 · MiniMax
MiniMax reasoning route for coding and agentic workloads with a 204K context window.
Last checked Aug 26, 2026. Calculations use the listed base rates; provider-specific tiers, cache writes, batch pricing, and long-context rules may differ. Note: Live OpenRouter route snapshot checked 26 Aug 2026. Direct MiniMax pricing and availability may differ. Confirm the current rate at the official provider source.
Quick answer
At the published base rate, MiniMax M2.7 (OpenRouter) costs $0.30 per 1M input tokens and $1.20 per 1M output tokens. It supports a 204.8K context window and is currently marked ga.
Method & trust
This rate card uses the provider's listed base input, output, and cached-input prices. Workload tables below apply those rates to explicit token counts, cache assumptions, and request volumes; verify provider-specific tiers before committing budget.
Input
$0.30
per 1M tokens
Output
$1.20
per 1M tokens
Cached input
$0.06
per 1M tokens
Context window
204.8K
max output 131.1K
MiniMax M2.7 (OpenRouter) cost calculator
What MiniMax M2.7 (OpenRouter) costs per task
| Use case | Input tokens | Output tokens | Cost / request | Monthly @ 1K req/day |
|---|---|---|---|---|
| Customer support chatbot | 3,500 | 350 | $0.000882 | $26.46 |
| RAG / search-augmented answers | 8,000 | 500 | $0.00204 | $61.20 |
| AI coding assistant | 12,000 | 2,000 | $0.004272 | $128.16 |
| Document summarization | 25,000 | 600 | $0.00762 | $228.60 |
| Agentic workflow | 40,000 | 1,500 | $0.00756 | $226.80 |
| Content generation | 800 | 1,200 | $0.001622 | $48.672 |
| Data extraction & tagging | 2,000 | 250 | $0.000804 | $24.12 |
| Translation | 5,000 | 5,500 | $0.00792 | $237.60 |
Assumes each use case's typical cacheable share of input. See full cost scenarios.
Benchmark scores
Third-party composite indices (0-100) via OpenRouter's model catalog, verified Aug 28, 2026. Coding per $$1.20 of output: 43.8.
Compare with alternatives
| Model | Input /M | Output /M | Context | Chat request* |
|---|---|---|---|---|
| MiniMax M2.7 (OpenRouter) | $0.30 | $1.20 | 204.8K | $0.00168 |
| GPT-5.6 Solcompare | $5.00 | $30.00 | 1.1M | $0.035 |
| GPT-5.6 Terracompare | $2.00 | $12.00 | 1.1M | $0.014 |
| GPT-5.6 Lunacompare | $0.20 | $1.20 | 1.1M | $0.0014 |
| GPT-5.6 Cybercompare | $12.50 | $75.00 | 1.1M | $0.0875 |
| GPT-5.5 Standardcompare | $5.00 | $30.00 | 512K | $0.035 |
| GPT-5.5 Procompare | $30.00 | $180.00 | 512K | $0.21 |
| GPT-5.4 Workhorsecompare | $2.50 | $15.00 | 256K | $0.0175 |
| GPT-5.4 minicompare | $0.75 | $4.50 | 256K | $0.00525 |
*4,000 in + 800 out tokens, 50% cached input where available.
Related calculations
FAQ
MiniMax M2.7 (OpenRouter) costs $0.30 per 1M input tokens and $1.20 per 1M output tokens, with cached input at $0.06 per 1M tokens. Verified Aug 26, 2026 against https://openrouter.ai/api/v1/models.
MiniMax M2.7 (OpenRouter) supports a 204,800-token context window with up to 131,072 output tokens per request, tokenized with other.
At $0.30/M input and $1.20/M output, MiniMax M2.7 (OpenRouter) sits below GPT-5.6 Sol ($5.00/M in, $30.00/M out) — see the comparison table for full-workload differences.