LLMMiniMax M2.7 API pricing
MiniMax M2.7 by IteraCompute costs $0.38 per 1M input tokens and $1.48 per 1M output tokens (1M in + 1M out = $1.86).
- API model id
minimax/minimax-m2.7- Input / 1M
- $0.38
- Output / 1M
- $1.48
- Cached input / 1M
- $0.03
- Context window
- 205K
- Notes
- IteraCompute API (OpenAI-compatible, api.iteracompute.com/v1), USD per 1M tokens from the public model page; Terms §9: website prices are informational, the Console price applies. Prepaid balance.
- Source
- https://iteracompute.com/models/minimax-m2-7/
- Provider type
- Inference host (HQ: China)
- Regions
- unknown
- EU data residency
- unknown — IteraCompute serves models through its own infrastructure and through third-party inference APIs; it does not publish serving regions. Privacy Policy: retention by the inference providers involved is disclosed per service; using a provider's official API does not by itself give a zero-data-retention guarantee. Terms §9: website prices are for general information; binding prices are those in the Console.
- Last verified
- 2026-11-12
Cost estimate
| Provider | Model | Cost |
|---|---|---|
| IteraCompute | MiniMax M2.7 | $0.75 |
Uses standard list prices (no caching, batch or off-peak discounts). €, CHF and ₹ rows are priced in that currency by the provider and not converted, so compare them with care. ₹ rows also show ≈ USD at the RBI reference rate of ₹93.8579 per USD (2026-11-09).
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