MiniMax M2.7 Highspeed overview
MiniMax M2.7 Highspeed by MiniMax
It keeps every bit of the original’s reasoning power and agentic capabilities while pushing output speeds up to roughly 100 tokens per second.
MiniMax M2.7 Highspeed specs
- Model ID
minimax/m2-7-highspeed- Developer
- MiniMax
- Context window
- 204,800 tokens
- Max output
- 204,800 tokens
- Input
- Text
- Output
- Text
- API
- OpenAI-compatible, base URL
https://api.aimlapi.com/v1
What Makes MiniMax M2.7 Highspeed Different
MiniMax M2.7 Highspeed is a streamlined conversational model engineered to support real-time applications and large-scale API workloads. It focuses on reducing inference time while maintaining reliable instruction following and stable response formatting.
Unlike heavier models that prioritize reasoning complexity, this version is tuned for fast comprehension and immediate output generation. It works best in systems where users expect instant replies and where backend infrastructure must handle continuous traffic without performance drops.
The model is commonly used as a foundational layer in AI stacks, especially in architectures where multiple models are combined and M2.7 Highspeed handles the fast-response layer.
Key Specifications
Here’s exactly what you get with the Highspeed edition:
| Feature | Specification | Benefit |
|---|---|---|
| Model ID | minimax/minimax-m2.7-highspeed | Easy API integration |
| Total Parameters | 230 billion | Deep capability |
| Active Parameters | ~10 billion per token | Efficient inference |
| Context Window | 204,800 tokens | Entire codebases or long documents |
| Max Output Tokens | 131,072 | Detailed, complete responses |
| Output Speed | ~100 tokens per second | Feels responsive in real time |
| Architecture | Sparse MoE (256 experts) | Smart routing, lower cost |
| Prompt Caching | Built-in & automatic | Significant savings on repeated prompts |
Fast Response Generation
The model is optimized to produce responses with minimal delay between request and output. This makes it suitable for conversational interfaces where perceived speed directly impacts user experience. The decoding process is tuned to prioritize early token generation, which reduces waiting time in interactive sessions.
Stable Instruction Handling
M2.7 Highspeed is designed to interpret instructions in a straightforward and consistent manner. It avoids unnecessary variation in phrasing and maintains predictable output structure, which is important for API-driven systems that rely on structured responses.
Lightweight Context Processing
The model focuses primarily on recent context rather than deep historical reasoning chains. This approach improves efficiency and reduces computational overhead while maintaining coherence within short to medium conversation windows.
The Highspeed Advantage
Same intelligence as the base M2.7, but roughly 3x faster inference. Perfect for chat interfaces, real-time agent loops, live coding assistants, and high-throughput evaluation pipelines.
Use cases
Live coding assistants, autonomous agent pipelines, and interactive workflows where low latency and high throughput matter are documented as suitable uses for MiniMax M2.7 Highspeed.
It is also documented for document analysis, legal summarization, scientific literature review, and complex code refactoring.
The model is described as suited to enterprise document processing, including structured data extraction, report synthesis, spreadsheet analysis, and document transformation.
MiniMax’s own model page also highlights polyglot code mastery, precision code refactoring, and low-latency use.
Capabilities
- Function calling
- Streaming
- Structured outputs
- Reasoning
MiniMax M2.7 Highspeed API pricing
| Usage | Price | Unit |
|---|---|---|
| Input | $0.6 | 1M tokens |
| Output | $2.4 | 1M tokens |
| Cached input | $0.06 | 1M tokens |
Prices from the AI/ML API price list, checked on Nov 4, 2026.
MiniMax M2.7 Highspeed vs other models: token prices
AI/ML API input and output rates for 5 models, per million tokens.
| Model | Input | Output |
|---|---|---|
 MiniMax M2.7 Highspeed | $0.6 | $2.4 |
| MiniMax M3.1 Flash | $0.15 | $0.6 |
| MiniMax M3 | $0.3 | $1.2 |
| MiniMax M2-her | $0.3 | $1.2 |
| MiniMax M2.1 Highspeed | $0.6 | $2.4 |
How to use the MiniMax M2.7 Highspeed API
View docs
Build with your agent
Give your agent the model details, code and documentation.
1Get your API key
Create API keyexport AIMLAPI_KEY="8f2b4c7d9a1e6b3f…"2Make your first request
curl 'https://api.aimlapi.com/v1/chat/completions' \
-H "Authorization: Bearer $AIMLAPI_KEY" \
-H 'Content-Type: application/json' \
-d '{
"model": "minimax/m2-7-highspeed",
"messages": [
{
"role": "user",
"content": "Write a haiku about the ocean."
}
]
}'import os
import requests
headers = {
"Authorization": f"Bearer {os.environ['AIMLAPI_KEY']}",
"Content-Type": "application/json",
}
payload = {
"model": "minimax/m2-7-highspeed",
"messages": [
{
"role": "user",
"content": "Write a haiku about the ocean."
}
]
}
response = requests.post("https://api.aimlapi.com/v1/chat/completions", headers=headers, json=payload, timeout=120)
response.raise_for_status()
print(response.json())const response = await fetch("https://api.aimlapi.com/v1/chat/completions", {
method: "POST",
headers: {
Authorization: `Bearer ${process.env.AIMLAPI_KEY}`,
"Content-Type": "application/json",
},
body: JSON.stringify({
"model": "minimax/m2-7-highspeed",
"messages": [
{
"role": "user",
"content": "Write a haiku about the ocean."
}
]
}),
});
if (!response.ok) throw new Error(`HTTP ${response.status}`);
console.log(await response.json());Models similar to MiniMax M2.7 Highspeed
Related articles
MiniMax M2.7 Highspeed FAQ
What is the context window of MiniMax M2.7 Highspeed?
MiniMax M2.7 Highspeed has a 204,800 tokens context window and can return up to 204,800 tokens.
What inputs and outputs does MiniMax M2.7 Highspeed support?
MiniMax M2.7 Highspeed takes image, text as input and returns text.
What is the model ID for MiniMax M2.7 Highspeed?
Use minimax/m2-7-highspeed as the model id. Requests go to https://api.aimlapi.com/v1/chat/completions.
How much does MiniMax M2.7 Highspeed cost?
MiniMax M2.7 Highspeed costs $0.6 input and $2.4 output per 1M tokens on AI/ML API, billed as you go with no subscription.
Does MiniMax M2.7 Highspeed support streaming?
Yes, MiniMax M2.7 Highspeed can stream responses as they are generated.
Can MiniMax M2.7 Highspeed read images?
Yes, MiniMax M2.7 Highspeed accepts image input alongside text.
Who created MiniMax M2.7 Highspeed?
MiniMax M2.7 Highspeed was built by MiniMax.
Does MiniMax M2.7 Highspeed support tool calling?
Yes. It supports function calling, parallel tool calls, and structured outputs.