MiniMax: MiniMax-M2.7-highspeed
minimax-m2.7-highspeed- Input / Output
- $0.60 / $2.40
- Context
- 200K
- Max output
- 128K
- Modalities
- Chat
- Capabilities
- Prompt Cache
About MiniMax-M2.7-highspeed
MiniMax-M2.7-highspeed is the low-latency variant of MiniMax-M2.7, launched with it in March 2026. It targets interactive coding plans and agent loops where waiting for each model turn slows the whole task. It is a text reasoning model with prompt caching, built on the same M2.7 design around skills and agent teams.
Where it works well
- Released alongside M2.7 as its faster counterpart for interactive use.
- Shares M2.7's focus on coding agents and complex environments.
- Prompt caching helps when each turn repeats a long shared prefix.
- Reasoning stays available for planning steps.
When to choose another model
- Text input only, so screenshots and charts cannot be read directly.
- No tool-call or schema-output mode, so it fits plain reasoning and code generation better than function-calling flows.
Getting started
Create API key
Create a key in Console, then use it with every model on the platform.
Send your first request
Copy the example for your language and run it against the endpoint.
Text to textResponses APIPOST/v1/responsesAPI format:curl https://api.tokenlab.sh/v1/responses \ -H "Content-Type: application/json" \ -H "Authorization: Bearer sk-xxx" \ -d '{ "model": "minimax-m2.7-highspeed", "input": "Hello!" }'
Pricing
The Verified price applies to Verified, which costs less on most models. The Official price is the model maker's published price and applies to the more reliable Official route. Auto bills the route that completes the request.
Default spec
per 1M tokens- Official price
- Input $0.60 / Output $2.40 / Cache read $0.06 / Cache write $0.375
- Verified price
- —
- Discount
- —
Cache read
- Official price
- $0.06
- Verified price
- —
- Discount
- —
Cache write
- Official price
- $0.375
- Verified price
- —
- Discount
- —
| Official priceper 1M tokens | Verified priceper 1M tokens | Discount | |
|---|---|---|---|
| Default spec | Input $0.60 / Output $2.40 / Cache read $0.06 / Cache write $0.375 | — | — |
| Prompt cache pricing | |||
| Cache read | $0.06 | — | — |
| Cache write | $0.375 | — | — |
Usage & activity
Success rate is the share of requests that completed. Latency is how long a full response takes; P95 means 95% of requests finished within that time.
Usage & availability
Last 24 hours- Requests
- Success rate
- P95 latency
- Total tokens
Data is based on aggregate user requests, excluding status checks.
Open in Console
Open MiniMax-M2.7-highspeed in Console with a prompt ready to edit or send.
Help me try minimax-m2.7-highspeed with a short message at /v1/responses. Show the reply, latency, and cost.
Use cases
Interactive coding plans
Let a user watch a plan form step by step in an IDE, with each revision returning quickly.
Fast agent loops
Run many short observe-decide-act cycles where model delay is the main cost.
Skill-driven helpers
Load a set of defined skills and keep the agent responsive while it selects among them.
Prompt examples
Plan the migration from REST to GraphQL for this module in five steps, then start with step one.
After each step, state in one line what you learned and pick the next action.
Rewrite this build script to run tests in parallel and explain the risk.
This model has conditional pricing. Monthly token totals alone cannot produce a reliable estimate; use the detailed pricing for the request specification, cache, and applicable time window.
FAQ
How is M2.7-highspeed different from M2.7?
It belongs to the same model generation and is built for speed. MiniMax listed both in its March 2026 release, and the highspeed one suits interactive plans and agent loops.
What is it good at?
Coding agents, complex environments and office automation, inherited from M2.7. The speed focus makes it a better fit when a person is waiting on each turn.
Does it support tool calls?
No. Tool calling and schema output are not offered for this model. It does support reasoning and prompt caching, so it suits plain reasoning and code generation.
Can I send images?
No. This is a text model and takes text input only, so use a model with image input for screenshots, charts, or other visual material.
Should I choose it over M2.5-highspeed?
M2.7 is the newer generation, with MiniMax's added skill work. If M2.5-highspeed already works for your prompts, switch only after comparing results on your tasks.
How much does MiniMax-M2.7-highspeed cost?
On TokenLab, MiniMax-M2.7-highspeed costs Input $0.60 / Output $2.40 per 1M tokens. The pricing table above shows the full breakdown. Rates depend on the billing unit, specification, and usage. Compare matching conditions in the model's detailed pricing; a single rate does not determine the total cost.
What are the context window and output limit of MiniMax-M2.7-highspeed?
MiniMax-M2.7-highspeed accepts up to 200,000 tokens of context and returns up to 128,000 tokens in one response.
Which endpoint should MiniMax-M2.7-highspeed use?
Use https://api.tokenlab.sh/v1/responses for MiniMax-M2.7-highspeed. The request example below shows the matching code shape.
Which operations does MiniMax-M2.7-highspeed support?
MiniMax-M2.7-highspeed supports Text to text. Select an operation above to see its endpoint and request example.
Compare MiniMax-M2.7-highspeed
Sources
Reviewed Oct 2, 2026
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