Models

For both PromptLab and Evaluations, Quotient provides access to the following set of models across inference providers by default:

Provider	Model Name
Anthropic	claude-2.1
Anthropic	claude-3-haiku-20240307
Anthropic	claude-3-opus-20240229
Anthropic	claude-3-sonnet-20240229
Anthropic	claude-3-5-sonnet-20240620
Anthropic	claude-3-5-sonnet-20241022
Anthropic	claude-3-5-haiku-20241022
OpenAI	gpt-4
OpenAI	gpt-4o
OpenAI	gpt-4o-2024-05-13
OpenAI	gpt-4-turbo-preview
OpenAI	gpt-4-0613
OpenAI	gpt-4-turbo
OpenAI	gpt-4-turbo-2024-04-09
OpenAI	gpt-4-1106-preview
OpenAI	gpt-4-0125-preview
OpenAI	gpt-3.5-turbo
OpenAI	gpt-3.5-turbo-1106
OpenAI	gpt-3.5-turbo-0125
OpenAI	o1-preview
OpenAI	o1-mini
OpenAI	gpt-4o-mini-2024-07-18
Vertex AI	vertex_ai/chat-bison
Vertex AI	vertex_ai/chat-bison@002
Vertex AI	vertex_ai/gemini-pro
Vertex AI	vertex_ai/gemini-1.5-pro
Vertex AI	vertex_ai/gemini-1.5-flash-preview-0514
Vertex AI	vertex_ai/gemini-1.5-pro-preview-0514
Vertex AI	gemini-1.5-pro-002
Vertex AI	gemini-1.5-flash-002
Vertex AI	vertex_ai/meta/llama-3.2-90b-vision-instruct-maas
Databricks	databricks/databricks-dbrx-instruct
Databricks	databricks/databricks-meta-llama-3-70b-instruct
Databricks	databricks/databricks-mixtral-8x7b-instruct
Together AI	together_ai/deepseek-ai/DeepSeek-R1
Together AI	together_ai/mistralai/Mistral-7B-Instruct-v0.1

Listing Models with the SDK

If you want to programmatically get the set of available models, you can run:

models = quotient.models.list()
print(models)

Or get a specific model’s info:

model = quotient.models.get('gpt-4o-mini-2024-07-18')
print(model)

Want to use a model not listed here? Message us at contact@quotientai.co or on our Discord!