Implementation:Cohere ai Cohere python GetModelResponse Model

Knowledge Sources	Cohere Python SDK
Domains	SDK, Models
Last Updated	2026-02-15 14:00 GMT

Overview

GetModelResponse is a Pydantic model that contains metadata about a Cohere model, including its name, supported endpoints, context length, and fine-tuning status.

Description

The GetModelResponse class represents the response returned when querying information about a specific Cohere model. It extends UncheckedBaseModel and provides fields describing the model's capabilities and configuration, such as which API endpoints it is compatible with (chat, embed, classify, summarize, rerank, rate, generate), whether it has been fine-tuned, the maximum context length, a public URL to the tokenizer configuration, default endpoints, and supported features. All fields are optional and default to None.

Usage

Use GetModelResponse when you need to inspect model metadata returned by the Cohere Models API. This is useful for programmatically determining model capabilities, checking deprecation status, or selecting models based on context length and endpoint compatibility.

Code Reference

Source Location

• Repository: Cohere Python SDK
• File: src/cohere/types/get_model_response.py

Signature

class GetModelResponse(UncheckedBaseModel):
    name: typing.Optional[str] = pydantic.Field(default=None)
    is_deprecated: typing.Optional[bool] = pydantic.Field(default=None)
    endpoints: typing.Optional[typing.List[CompatibleEndpoint]] = pydantic.Field(default=None)
    finetuned: typing.Optional[bool] = pydantic.Field(default=None)
    context_length: typing.Optional[float] = pydantic.Field(default=None)
    tokenizer_url: typing.Optional[str] = pydantic.Field(default=None)
    default_endpoints: typing.Optional[typing.List[CompatibleEndpoint]] = pydantic.Field(default=None)
    features: typing.Optional[typing.List[str]] = pydantic.Field(default=None)

Import

from cohere.types import GetModelResponse

I/O Contract

Fields

Field	Type	Required	Default	Description
name	Optional[str]	No	None	The model name to specify in the model parameter of API requests.
is_deprecated	Optional[bool]	No	None	Whether the model is deprecated.
endpoints	Optional[List[CompatibleEndpoint]]	No	None	The API endpoints that the model is compatible with (e.g., chat, embed, classify, summarize, rerank, rate, generate).
finetuned	Optional[bool]	No	None	Whether the model has been fine-tuned.
context_length	Optional[float]	No	None	The maximum number of tokens the model can process in a single request.
tokenizer_url	Optional[str]	No	None	Public URL to the tokenizer's configuration file.
default_endpoints	Optional[List[CompatibleEndpoint]]	No	None	The API endpoints that the model is the default for.
features	Optional[List[str]]	No	None	The features that the model supports.

Usage Examples

import cohere

client = cohere.Client(api_key="YOUR_API_KEY")

# Retrieve model information
model_info = client.models.get("command-r-plus")

# Access model metadata
print(f"Model name: {model_info.name}")
print(f"Context length: {model_info.context_length}")
print(f"Fine-tuned: {model_info.finetuned}")
print(f"Deprecated: {model_info.is_deprecated}")

# Check compatible endpoints
if model_info.endpoints:
    for endpoint in model_info.endpoints:
        print(f"Compatible endpoint: {endpoint}")

# Check default endpoints
if model_info.default_endpoints:
    for endpoint in model_info.default_endpoints:
        print(f"Default for endpoint: {endpoint}")

# Access tokenizer URL
if model_info.tokenizer_url:
    print(f"Tokenizer config: {model_info.tokenizer_url}")

Related Pages

• Environment:Cohere_ai_Cohere_python_Python_SDK_Runtime