Update Model

Update an existing model.

Returns

Returns the updated Model object.

Example

model = galtea.models.update(
    model_id=model_id,
    input_cost_per_token=0.000015,
    output_cost_per_token=0.000035,
)

Parameters

model_id · string · required

ID of the model to update.

name · string

New name for the model.

input_cost_per_token · float

New cost in dollars per input token.

output_cost_per_token · float

New cost in dollars per output token.

cache_read_input_token_cost · float

New cost in dollars per cached input token.

cache_creation_input_token_cost · float

New cost in dollars per input token when creating a cache entry.

input_cost_per_token_above_128k_tokens · float

New cost in dollars per input token for contexts larger than 128k tokens.

output_cost_per_token_above_128k_tokens · float

New cost in dollars per output token for contexts larger than 128k tokens.

tokenizer_provider · string

New tokenizer provider (e.g., "OpenAI", "Anthropic").

source · string

New pricing source. This can be a URL to the model’s pricing page or documentation.

All fields except model_id default to PydanticUndefined (from pydantic_core). Omit a field (or pass PydanticUndefined) to leave it unchanged. Pass None to explicitly clear an optional field. Pass a value to update it.