MiniMax-M2.7-highspeed
MiniMax-M2.7-highspeed is a reasoning model from MiniMax released on Mar 18, 2026. It reads text and writes text, with a 205K token context window and up to 131K tokens per reply.
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It costs $0.60 per million input tokens and $2.40 per million output tokens. Cached input bills at $0.06, 90% less than fresh input.
It supports tool calling, structured JSON output and prompt caching, and its weights are open, so you can host it yourself.
16 providers serve it, including Novita AI, Vercel AI Gateway and EmpirioLabs AI. The lowest input price is $0.30 per million tokens at EmpirioLabs AI.
- Modalities
- In / out price
- $0.60 / $2.40 per 1M
- Context
- 205K
- Max output
- 131K
- Released
- Mar 18, 2026
- Knowledge cutoff
- n/a
- Tool calling
- Structured output
- Reasoning
- Prompt caching
- Open weights
- Free to use
MiniMax-M2.7-highspeed pricing
USD, as listed on Oct 15, 2026. Most bills are input heavy, so the cached input rate matters as much as the headline price.
| Input | $0.60 / 1M tokens | |
|---|---|---|
| Output | $2.40 / 1M tokens | |
| Cached input (read) | $0.06 / 1M tokens | 90% off input |
| Cache write | $0.375 / 1M tokens |
MiniMax-M2.7-highspeed providers
16 providers serve it, including Novita AI, Vercel AI Gateway and EmpirioLabs AI. The lowest input price is $0.30 per million tokens at EmpirioLabs AI. Each host sets its own price and limits, so the cheapest one is not always the one with the longest context.
| Provider | Input /M | Output /M | Cache read /M | Context | Max output |
|---|---|---|---|---|---|
| MiniMax (minimax.io) First party | $0.60 | $2.40 | $0.06 | 205K | 131K |
| Novita AI | $0.60 | $2.40 | $0.06 | 205K | 131K |
| Vercel AI Gateway | $0.60 | $2.40 | $0.06 | 205K | 131K |
| EmpirioLabs AI | $0.30 | $1.20 | $0.03 | 200K | 33K |
| Auriko | $0.60 | $2.40 | – | 205K | 131K |
| DevPass (LLM Gateway) | $0.60 | $2.40 | $0.06 | 205K | 131K |
| FastRouter | $0.60 | $2.40 | – | 205K | 131K |
| LLM Gateway | $0.60 | $2.40 | $0.06 | 205K | 131K |
| Merge Gateway | $0.60 | $2.40 | $0.06 | 205K | 8K |
| MiniMax (minimax.cn) | $0.60 | $2.40 | $0.06 | 205K | 131K |
| Ofox | $0.60 | $2.40 | $0.06 | 205K | 131K |
| OrcaRouter | $0.60 | $2.40 | $0.06 | 205K | 131K |
Showing 12 of 16 providers: the lab first, then the major clouds, then the cheapest resellers.
What MiniMax-M2.7-highspeed costs per month
Pick a workload close to yours or type your own volumes.
Supported request parameters
What you can set when you call MiniMax-M2.7-highspeed through an OpenAI compatible API.
- Tools
tools - Structured outputs
structured_outputs - Reasoning
reasoning - Temperature
temperature
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MiniMax-M2.7-highspeed questions
How much does the MiniMax-M2.7-highspeed API cost?
$0.60 per million input tokens and $2.40 per million output tokens, with cached input at $0.06. The estimator on this page turns that into a monthly bill for your own workload.
What is the context window of MiniMax-M2.7-highspeed?
204,800 tokens of input, and it can write up to 131,072 tokens in one reply. As a rough guide, a million tokens is around 750,000 English words.
Which providers serve MiniMax-M2.7-highspeed?
16 providers serve it, including Novita AI, Vercel AI Gateway and EmpirioLabs AI. The lowest input price is $0.30 per million tokens at EmpirioLabs AI. Prices differ by host, so the Providers table on this page lists each one with its input and output price.
Does MiniMax-M2.7-highspeed support tool calling?
Yes. It accepts tool definitions and can return JSON that matches a schema, which is what an agent needs to call your APIs.
Is MiniMax-M2.7-highspeed open source?
Its weights are published, so you can run it on your own hardware or a cloud of your choice. Read the license before commercial use.
When was MiniMax-M2.7-highspeed released?
Mar 18, 2026.
Catalog data from models.dev (MIT licensed), refreshed daily, last on Oct 15, 2026. The summary is written from these facts.
Building on MiniMax-M2.7-highspeed?
I test your real tasks on it and the two closest alternatives, then ship the agent on whichever wins on cost and accuracy.
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