tbuy
MiniMax-M2.7 API pricing & access
MiniMax-M2.7 API pricing: $0.3 per 1M tokens. MiniMax M2.7 general-purpose language model
MiniMax-M2.7 API access
MiniMax M2.7 general-purpose language model
Compare supported API endpoints and capabilities, then access MiniMax-M2.7 through the unified API gateway.
- Category
- text
- Supported APIs
- OpenAI Chat Completions API, Anthropic Messages API
- API endpoints
- POST /v1/chat/completions, POST /v1/messages
MiniMax-M2.7 API pricing
- Base input price
- $0.3 per 1M tokens
- Base output price
- $1.2 per 1M tokens
Base prices are shown in USD before group-specific adjustments. Open the live pricing page for current access-group prices.
About MiniMax-M2.7
MiniMax-M2.7 is a MiniMax text model. Its model card focuses on software engineering, log analysis, debugging and professional work, making maintenance and document deliverables relevant evaluation tasks.
Search and office artifacts require application tools or file operations, source checks and usable final files. Vendor examples do not prove that this route has passed the same acceptance tests. Official reference, checked 2026-10-14.
Use cases and prompting
- Provide failure logs, relevant files and acceptance criteria for a minimal maintenance fix.
- Supply reliable material or connected search tools and request evidence for each conclusion.
- Specify fields, format and an example deliverable; review documents and calculations before delivery.
- Compare identical cases with MiniMax-M3; record complete outputs, failures and actual usage. See the API documentation for integration.
How to call MiniMax-M2.7
MiniMax-M2.7 is served through tbuy's unified gateway. Existing OpenAI or Anthropic SDK code keeps working: point base_url at https://modelsok.com and use your tbuy API key.
curl (OpenAI-compatible)
curl https://modelsok.com/v1/chat/completions \
-H "Authorization: Bearer $API_KEY" \
-H "Content-Type: application/json" \
-d '{"model": "MiniMax-M2.7", "messages": [{"role": "user", "content": "Hello"}]}'Python (openai SDK)
from openai import OpenAI
client = OpenAI(base_url="https://modelsok.com/v1", api_key="YOUR_API_KEY")
response = client.chat.completions.create(
model="MiniMax-M2.7",
messages=[{"role": "user", "content": "Hello"}],
)
print(response.choices[0].message.content)Python (anthropic SDK)
from anthropic import Anthropic
client = Anthropic(base_url="https://modelsok.com", api_key="YOUR_API_KEY")
message = client.messages.create(
model="MiniMax-M2.7",
max_tokens=1024,
messages=[{"role": "user", "content": "Hello"}],
)
print(message.content[0].text)Related pages
Frequently asked questions about MiniMax-M2.7
What is MiniMax-M2.7?
MiniMax M2.7 general-purpose language model
How do I call MiniMax-M2.7?
Create an API key with access to MiniMax-M2.7, then use the exact model ID and a supported endpoint from the API access section. Request fields depend on the selected endpoint.
How is MiniMax-M2.7 priced?
Pricing depends on the selected provider group and the model billing unit. Refer to the current input, output, request, or media prices in the pricing section.
How should I evaluate MiniMax-M2.7 for my project?
Start with the use cases and prompting guidance on this page, then evaluate the model with representative inputs from your project.