Model pricing
MiniMax M2 pricing
MiniMax M2 by MiniMax costs $0.3 per 1M input tokens and
MiniMax M2 pricing
.2 per 1M output tokens (cached input not recorded, batch input not recorded) as of 2026-06-10. A 1,000-input/500-output request costs $0.0009. The lowest-cost alternative with at least this context window and the same recorded reasoning category is GPT 4.1 Nano (OpenAI) at $0.05/$0.2; capability equivalence is not guaranteed.Notes
230B MoE optimized for agentic coding and end-to-end tool use
Key pricing facts
| Fact | Value |
|---|---|
| Input / 1M tokens | $0.3 |
| Output / 1M tokens | $1.2 |
| Cached input / 1M | Not recorded |
| Batch input / output / 1M | Not recorded |
| Context window | 1,000,000 |
| Provider | MiniMax |
| Last verified | 2026-06-10 |
| Snapshot updated | 2026-06-10 |
Last updated: · Source: No official provider pricing URL recorded · Methodology
Frequently asked questions
What does MiniMax M2 cost per million tokens?
Input costs $0.3 and output costs $1.2 per million tokens. The 1,000-input/500-output example costs $0.0009, before discounts, taxes, hidden reasoning tokens or context-tier surcharges.
Does MiniMax M2 have cached or batch pricing?
Cached input: not separately recorded. Batch: not recorded in this dataset. Eligibility and cache-write charges depend on the provider; these discounts are not automatically stacked.
What is a cheaper alternative to MiniMax M2?
GPT 4.1 Nano (OpenAI) costs $0.05 input and $0.2 output per million tokens. This comparison matches context capacity and reasoning category, not benchmark quality. Test your workload before replacing a model.
How often are these prices verified?
The live pricing table synchronizes stored model records daily; public file snapshots update when the site is rebuilt. Synchronization is not independent provider verification. Snapshot updated 2026-06-10. The recorded model verification date is 2026-06-10.