One agent session
1M input tokens and 100K output tokens, no caching.
- Input1M x $0.30 = $0.30
- Output0.1M x $1.20 = $0.12
$0.42per session
MiniMax - Open weights
MiniMax-M2.7 pricing and specs
MiniMax-M2.7 is an open-weights model from MiniMax that costs $0.30 per 1M input tokens and $1.20 per 1M output tokens on the first-party API, with a 205K-token context window.
Last verified from platform.minimax.io. All sources
- Input / 1M
- $0.30
- Output / 1M
- $1.20
- Context
- 205K tokens
- Weights
- Open
Pricing per 1M tokens
| Item | Price / 1M tokens |
|---|---|
| Input | $0.30 |
| Output | $1.20 |
| Cache read | $0.06 |
| Cache write (5 minutes) | $0.375 |
Note: Being retired: MiniMax's models page says the M2.5 and M2.7 families stop being available to new users on 2026-10-19 and are retired on 2026-11-18 (M Plan and Token Plan requests get routed to M3.1 Flash Preview from 2026-10-19). Re-check or remove this entry after 2026-11-18. Text and tool-call input only (no image or video). Thinking cannot be turned off. max output is the documented max_tokens ceiling for non-M3 models (204800, recommended 65536) and thinking tokens count toward it. The weights license is non-commercial: commercial use needs prior written authorization from MiniMax. Pricing page shows a single Standard tier for this model.
Specs
- Context window
- 204,800 tokens
- Max output
- 204,800 tokens
- Release date
- Provider
- MiniMax
- API model id
MiniMax-M2.7- Vercel AI Gateway id
minimax/minimax-m2.7- Weights
- Open weights
- License
- MiniMax M2.7 Non-Commercial License (Hugging Face license tag: other)
- Weights download
- huggingface.co
What MiniMax-M2.7 costs in practice
Worked from the standard list rates above, with the math shown so you can swap in your own token counts.
A chat app
10,000 requests a day at 2K input and 500 output tokens each.
- Input20M x $0.30 = $6.00
- Output5M x $1.20 = $6.00
$12.00per day
$360.00 per 30-day month
The same session at a 90% cache hit
90% of the input is read from the prompt cache. The one-time cache write premium is not included.
- Cached input0.9M x $0.06 = $0.054
- Uncached input0.1M x $0.30 = $0.03
- Output0.1M x $1.20 = $0.12
$0.204per session
Compare with
| Model | Input / 1M | Output / 1M |
|---|---|---|
| MiniMax-M2.7 (this page) | $0.30 | $1.20 |
| DeepSeek V4.1 FlashDeepSeek | $0.30 | $1.20 |
| GPT-5.6 LunaOpenAI | $0.20 | $1.20 |
| MiniMax-M2.5MiniMax | $0.30 | $1.20 |
| MiniMax-M3MiniMax | $0.30 | $1.20 |
| MiniMax-M2.5-highspeedMiniMax | $0.60 | $2.40 |
| MiniMax-M2.7-highspeedMiniMax | $0.60 | $2.40 |
Compare
Side-by-side pages with both models' prices, specs, cost examples and like-for-like benchmark rows.
Related reading
- MiniMax H3: An Omni-Modal Video Model With Native Audio, 2K Output, and Open Weights ComingMiniMax H3 turns text, image, video and audio input into 2K video with native stereo sound at 0.80 CNY per second, with open weights promised to follow.
- MiniMax M2.5 for Developers: The Anthropic-Compatible Budget Frontier ModelMiniMax M2.5 hits 80.2% on SWE-bench Verified and plugs into the Anthropic SDK with two environment variables. Here is what you need to know before switching.
FAQ
How much does MiniMax-M2.7 cost per million tokens?
MiniMax-M2.7 costs $0.30 per 1M input tokens and $1.20 per 1M output tokens on MiniMax's first-party API, per platform.minimax.io on October 17, 2026. Per 1M tokens, cache reads cost $0.06.
What is MiniMax-M2.7's context window?
MiniMax-M2.7 has a 204,800-token context window and returns up to 204,800 output tokens per response.
Are MiniMax-M2.7's weights open?
Yes. MiniMax-M2.7's weights are published at https://huggingface.co/MiniMaxAI/MiniMax-M2.7 under the MiniMax M2.7 Non-Commercial License (Hugging Face license tag: other).
When was MiniMax-M2.7 released?
MiniMax released MiniMax-M2.7 on March 18, 2026.
Sources
Last verified from platform.minimax.io.
- https://platform.minimax.io/docs/guides/pricing
- https://platform.minimax.io/docs/pricing/overview
- https://platform.minimax.io/docs/guides/text-generation
- https://platform.minimax.io/docs/guides/models-intro
- https://platform.minimax.io/docs/api-reference/text-anthropic-api
- https://platform.minimax.io/docs/api-reference/text-chat-anthropic
- https://platform.minimax.io/docs/release-notes/models
- https://huggingface.co/MiniMaxAI/MiniMax-M2.7
- https://github.com/MiniMax-AI/MiniMax-M2.7/blob/main/LICENSE
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