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MiniMax-M3.1-Flash API pricing on Together AI

Every Together AI MiniMax-M3.1-Flash rate we track, compared against 8 providers serving the same model.

Input from /1M
$0.150
Output /1M
$0.600
Input price rank
#3 of 8
Last updated
October 25, 2026

The cheapest MiniMax-M3.1-Flash input price we currently track is $0.113/1M on Empirio Labs.

The cheapest MiniMax-M3.1-Flash output price is $0.450/1M on Empirio Labs.

Together AI MiniMax-M3.1-Flash rates

Prices per 1M tokens. Batch and cached-input rates are shown where the provider publishes them.

Together AI MiniMax-M3.1-Flash pricing by mode
ModeInputOutput
Standard$0.150/1M$0.600/1M

About MiniMax-M3.1-Flash

Creator
MiniMax
Modalities
text
Full MiniMax-M3.1-Flash details and every provider →Compare API pricing for every MiniMax model →

MiniMax-M3.1-Flash on other providers

About Together AI

Together AI is the AI Native Cloud platform engineered for developers building with open-source and frontier AI models. They provide serverless inference, fine-tuning, and GPU clusters with inference and training performance optimizations.

Frequently Asked Questions

How much does MiniMax-M3.1-Flash cost on Together AI?

Together AI serves MiniMax-M3.1-Flash from $0.150 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 Together AI the cheapest way to run MiniMax-M3.1-Flash?

Together AI ranks #3 of 8 providers we track serving MiniMax-M3.1-Flash on input price. The cheapest input price right now is on Empirio Labs. The lowest output price is $0.450/1M on Empirio Labs. Rates change often, and throughput, latency and context limits differ between providers — check the comparison above before committing.

Does Together AI offer batch or cached pricing for MiniMax-M3.1-Flash?

We track 1 MiniMax-M3.1-Flash offering from Together AI. 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.