Model Library/MiniMax M2.7
MiniMax

MiniMax M2.7

minimax/minimax-m2.7
MiniMax M2.7 is an all-around evolved, versatile open-source large language model that seamlessly blends hardcore engineering productivity with high-EQ, human-like interaction capabilities. In real-world software engineering, M2.7 excels by independently driving end-to-end project delivery while efficiently handling advanced tasks such as log analysis, bug troubleshooting, code security, and machine learning. In the professional workspace, it boasts the highest open-source GDPval-AA score (1495 ELO). It delivers high-fidelity, complex editing and multi-turn revisions across the Office suite (Excel, PPT, Word), elevating task execution to industry-leading standards. Built for complex environment interactions, M2.7 maintains an impressive 97% skill-following rate even with complex, long-context tool calls (>2000 tokens). Beyond its robust productivity, M2.7 breaks the "cold tool" stereotype of traditional models. With exceptional identity retention and high emotional intelligence (EQ), it not only empowers ent

Recursos

API serverless

Documentação

minimax/minimax-m2.7 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.

Serverless disponível

Execute consultas imediatamente, pague apenas pelo uso

Entrada$0.3 / M Tokens
Leitura de cache$0.06 / M Tokens
Saída$1.2 / M Tokens

Use os exemplos de código a seguir para integrar com nossa 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-m2.7",
10    messages=[
11        {"role": "system", "content": "You are a helpful assistant."},
12        {"role": "user", "content": "Hello, how are you?"}
13    ],
14    max_tokens=131072,
15    temperature=0.7
16)
17
18print(response.choices[0].message.content)

Informações

Provedor
MiniMax
Quantização
fp8

Funcionalidades compatíveis

Comprimento do contexto
204800
Saída máxima
131072
Serverless
Compatível
Function Calling
Compatível
Structured Output
Compatível
Reasoning
Compatível
API da Anthropic
Compatível
Capacidades de entrada
text
Capacidades de saída
text

Tudo o que você precisa para criar IA de produção.

Mais de 200 modelos, GPUs sob demanda e ambientes de execução de agentes seguros — unificados em uma única API. Grátis para começar, escala conforme você cresce.