Create Model

Create a new model for cost tracking.

Returns

Returns a Model object for the given parameters, or None if an error occurs.

Example

model = galtea.models.create(
    name="gpt-5.5-pro " + run_identifier,
    input_cost_per_token=0.00001,
    output_cost_per_token=0.00003,
    cache_read_input_token_cost=0.000005,
    cache_creation_input_token_cost=0.0000125,
    tokenizer_provider="OpenAI",
    source="https://openai.com/api/pricing/",
)

Parameters

name · string · required

Name of the model. Must be unique within your organization.

input_cost_per_token · float

Cost in dollars per input token.

output_cost_per_token · float

Cost in dollars per output token.

cache_read_input_token_cost · float

Cost in dollars per cached input token. Some providers offer reduced rates for cached requests.

cache_creation_input_token_cost · float

Cost in dollars per input token when creating a cache entry.

input_cost_per_token_above_128k_tokens · float

Cost in dollars per input token for contexts larger than 128k tokens, if applicable.

output_cost_per_token_above_128k_tokens · float

Cost in dollars per output token for contexts larger than 128k tokens, if applicable.

tokenizer_provider · string

Provider of the tokenizer used by the model. Examples: "OpenAI" (uses tiktoken), "Anthropic" (uses anthropic-tokenizer).

source · string

The provider or source of the pricing model. This can be a URL to the model’s pricing page or documentation (e.g., https://openai.com/api/pricing/).