what is the role of each model and price per 1000 token?
“whisper-1” : 0.000,
“babbage” : 0.00,
“text-davinci-003”: 0.00,
“davinci”: 0.00,
“text-davinci-edit-001”: 0.00,
“babbage-code-search-code”: 0.00,
“text-similarity-babbage-001”: 0.00,
“code-davinci-edit-001”: 0.00,
“text-davinci-001”: 0.00,
“gpt-4-0613”: 0.00,
“ada”: 0.00,
“babbage-code-search-text”: 0.00,
“babbage-similarity”: 0.00,
“gpt-4”: 0.00,
“gpt-3.5-turbo-0613”: 0.00,
“gpt-3.5-turbo-16k-0613”: 0.00,
“code-search-babbage-text-001”: 0.00,
“text-curie-001”: 0.00,
“gpt-3.5-turbo”: 0.00,
“gpt-3.5-turbo-16k”: 0.00,
“code-search-babbage-code-001”: 0.00,
“text-ada-001”: 0.00,
“text-similarity-ada-001”: 0.00,
“curie-instruct-beta”: 0.00,
“gpt-3.5-turbo-0301”: 0.00,
“ada-code-search-code”: 0.00,
“ada-similarity”: 0.00,
“code-search-ada-text-001”: 0.00,
“text-search-ada-query-001”: 0.00,
“davinci-search-document”: 0.00,
“ada-code-search-text”: 0.00,
“text-search-ada-doc-001”: 0.00,
“davinci-instruct-beta”: 0.00,
“text-similarity-curie-001”: 0.00,
“code-search-ada-code-001”: 0.00,
“ada-search-query”: 0.00,
“text-search-davinci-query-001”: 0.00,
“curie-search-query”: 0.00,
“davinci-search-query”: 0.00,
“babbage-search-document”: 0.00,
“ada-search-document”: 0.00,
“text-search-curie-query-001”: 0.00,
“gpt-4-0314”: 0.00,
“text-search-babbage-doc-001”: 0.00,
“curie-search-document”: 0.00,
“text-search-curie-doc-001”: 0.00,
“babbage-search-query”: 0.00,
“text-babbage-001”: 0.00,
“text-search-davinci-doc-001”: 0.00,
“text-search-babbage-query-001”: 0.00,
“curie-similarity”: 0.00,
“curie”: 0.00,
“text-embedding-ada-002”: 0.00,
“text-similarity-davinci-001”: 0.00,
“text-davinci-002”: 0.00,
“davinci-similarity”: 0.00,