MiniMax M2.7 API pricing on IteraCompute
Every IteraCompute MiniMax M2.7 rate we track, compared against 8 providers serving the same model.
The cheapest MiniMax M2.7 input price we currently track is $0.150/1M on Empirio Labs.
The cheapest MiniMax M2.7 output price is $0.600/1M on Empirio Labs.
IteraCompute MiniMax M2.7 rates
Prices per 1M tokens. Batch and cached-input rates are shown where the provider publishes them.
| Mode | Input | Output |
|---|---|---|
| Standard | $0.380/1M | $1.48/1M |
About MiniMax M2.7
- Creator
- MiniMax
- Context
- 205K
- Modalities
- text
MiniMax M2.7 on other providers
About IteraCompute
IteraCompute provides access to various AI models through an OpenAI-compatible API, facilitating integration with multiple development stacks.
Frequently Asked Questions
How much does MiniMax M2.7 cost on IteraCompute?
IteraCompute serves MiniMax M2.7 from $0.380 per 1M input tokens, across 1 tracked pricing mode. Prices are collected daily — see the table above for current input, output, and cached-input rates.
Is IteraCompute the cheapest way to run MiniMax M2.7?
IteraCompute ranks #6 of 8 providers we track serving MiniMax M2.7 on input price. The cheapest input price right now is on Empirio Labs. The lowest output price is $0.600/1M on Empirio Labs. Rates change often, and throughput, latency and context limits differ between providers — check the comparison above before committing.
Does IteraCompute offer batch or cached pricing for MiniMax M2.7?
We track 1 MiniMax M2.7 offering from IteraCompute. Batch and cached-input rates appear in the table above when the provider publishes them; blank cells mean we have no current figure for that mode.