MiniMax M2.5-highspeed
minimax/minimax-m2.5-highspeed
MiniMax M2.5-highspeed is an accelerated SOTA model engineered for scenarios demanding extreme efficiency. It perfectly inherits the core intelligence and robust digital workspace capabilities of the standard M2.5—including its 80.2% score on SWE-Bench Verified, seamless manipulation of Office documents, and versatility in cross-software collaboration. With zero compromise on reasoning precision or logical depth, the Highspeed version delivers ultra-low latency inference through rigorous engineering optimization. This means you get more than just an intelligent assistant capable of planning and self-optimization; you gain a "high-velocity engine" that responds to high-frequency calls and processes complex document streams in near real-time, making it ideal for latency-sensitive interactive applications and large-scale automated pipelines.
Features
Serverless API
Docs
minimax/minimax-m2.5-highspeed is available via Novita's serverless API, where you pay per token. There are several ways to call the API, including OpenAI-compatible endpoints with exceptional reasoning performance.
Available Serverless
Run queries immediately, pay only for usage
Input$0.6 / M Tokens
Cache Read$0.03 / M Tokens
Output$2.4 / M Tokens
Use the following code examples to integrate with our API:
1from openai import OpenAI
2
3client = OpenAI(
4 api_key="<Your API Key>",
5 base_url="https://api.novita.ai/openai"
6)
7
8response = client.chat.completions.create(
9 model="minimax/minimax-m2.5-highspeed",
10 messages=[
11 {"role": "system", "content": "You are a helpful assistant."},
12 {"role": "user", "content": "Hello, how are you?"}
13 ],
14 max_tokens=131100,
15 temperature=0.7
16)
17
18print(response.choices[0].message.content)Info
Provider
MiniMax
Quantization
fp8
Supported Functionality
Context Length
204800
Max Output
131100
Serverless
Supported
Function Calling
Supported
Structured Output
Supported
Reasoning
Supported
Anthropic API
Supported
Input Capabilities
text
Output Capabilities
text