MiniMax M1 pricing
MiniMax-M1 is a large-scale, open-weight reasoning model designed for extended context and high-efficiency inference. MiniMax M1 from MiniMax costs $0.550 per 1M input tokens and $2.20 per 1M output tokens. Context window 1,000,000 tokens.
API id minimax-m1 · MiniMax · source · updated 2026-11-05 · general-purpose
$0.550
Input / 1M tokens
$2.20
Output / 1M tokens
—
Cached input / 1M
1M
Context window
MiniMax M1 specifications
- Provider
- MiniMax
- API id
minimax-m1- Model type
- general-purpose
- Context window
- 1M tokens
- Max output
- 40K tokens
- Currency
- USD
- Price source
- Provider API
- Last checked
- 2026-11-05
What MiniMax M1 costs in practice
| Workload | Input tokens | Output tokens | Estimated cost |
|---|---|---|---|
| Short chat turn | 1,000 | 500 | $0.0016 |
| Document summary | 50,000 | 2,000 | $0.03 |
| 1M tokens in, 200K out | 1,000,000 | 200,000 | $0.99 |
Estimates use the standard tier and ignore caching discounts, so real bills with repeated prompt prefixes are typically lower.
MiniMax M1 price history
| Recorded | Input /1M | Output /1M |
|---|---|---|
| 2026-10-01 | $0.550 | $2.20 |
| 2026-09-16 | $0.400 | $2.20 |
| 2026-09-09 | $0.550 | $2.20 |
| 2026-09-08 | $0.400 | $2.20 |
| 2026-08-17 | $0.550 | $2.20 |
| 2026-08-16 | $0.400 | $2.20 |
| 2026-08-15 | $0.550 | $2.20 |
Common questions
- How much does MiniMax M1 cost per 1M tokens?
- MiniMax M1 costs $0.550 per 1M input tokens and $2.20 per 1M output tokens on the standard tier.
- What is MiniMax M1's context window?
- MiniMax M1 accepts up to 1,000,000 tokens in a single request, and can return up to 40,000 output tokens.
- Is there a cheaper MiniMax model than MiniMax M1?
- Yes. MiniMax-01 is $0.200 per 1M input tokens versus $0.550 for MiniMax M1, with a 1,000,192 token context window.
- Where does this MiniMax M1 price come from?
- From the OpenRouter catalogue, because MiniMax does not publish machine-readable pricing. OpenRouter is a reseller, so its rate can differ from MiniMax's own — verify before committing spend.