Models
Get environment's available model list metadata
from openai import OpenAI
client = OpenAI( base_url="https://api.infercom.ai/v1", api_key="your-infercom-api-key",)
models = client.models.list()for model in models.data: print(model.id)curl https://api.infercom.ai/v1/models \ -H "Authorization: Bearer $INFERCOM_API_KEY"List the models available in your Infercom environment, including context length, capabilities, and EU data residency, via the OpenAI-compatible endpoint.
Authorizations
Section titled “Authorizations”Parameters
Section titled “Parameters”Query Parameters
Section titled “Query Parameters”When set to true, returns detailed model metadata including sovereignty information in the sn_metadata field (e.g., region, architecture, category, license).
Responses
Section titled “Responses”Successful Response
Object containing available models and metadata
object
Array of model metadata list
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
{ "data": [ { "object": "model", "sn_metadata": { "region": "EU", "is_external": false } } ], "object": "list"}