Models
Get environment's available model metadata
from openai import OpenAI
client = OpenAI( base_url="https://api.infercom.ai/v1", api_key="your-infercom-api-key",)
model = client.models.retrieve("MiniMax-M2.7")print(model.id)curl https://api.infercom.ai/v1/models/MiniMax-M2.7 \ -H "Authorization: Bearer $INFERCOM_API_KEY"Retrieve metadata for a single model by ID, including context length, max completion tokens, capabilities, and EU sovereignty region.
Authorizations
Section titled “Authorizations”Parameters
Section titled “Parameters”Path Parameters
Section titled “Path Parameters”Model id to get metadata
Responses
Section titled “Responses”Successful Response
Model metadata
object
Model id
Type
Model owner
Model context length
Model max completion tokens
Additional metadata provided by SambaNova. Use the ?verbose=true query parameter on /v1/models to ensure this field is populated.
object
Hosting region for the model. "EU" indicates the model runs on Infercom’s EU infrastructure (Equinix Munich 4, Germany) with full data sovereignty.
false = EU-hosted on Infercom infrastructure (sovereign). true = routed to SambaNova’s global infrastructure (US).
Model architecture identifier
Model provider (e.g., Meta, DeepSeek, MiniMax, OpenAI)
Model capabilities (e.g., text, reasoning, vision)
Model license type
Model availability status (e.g., active)
Hugging Face model page URL
Brief model description
Pricing details
object
Price per prompt token in USD
Price per completion token in USD
Price per input hour
Example
{ "object": "model", "sn_metadata": { "region": "EU", "is_external": false }}Not found
Other kind of simple schema errors
object
Error detail.
Examplegenerated
{ "error": "example"}