速率限制
OpenAI 对您可以向 API 发出的请求实施速率限制。 这些应用于每分钟的令牌、每分钟的请求(在某些情况下为每天的请求),或者在图像模型的情况下,每分钟的图像。
请参阅速率限制文档了解更多信息,或参考我们模型的默认速率限制。 下面列出了您组织的速率限制。
MODEL | TPM | RPM |
CHAT(对话) | ||
gpt-3.5-turbo | 90,000 | 3,500 |
gpt-3.5-turbo-0301 | 90,000 | 3,500 |
gpt-3.5-turbo-0613 | 90,000 | 3,500 |
gpt-3.5-turbo-16k | 180,000 | 3,500 |
gpt-3.5-turbo-16k-0613 | 180,000 | 3,500 |
gpt-3.5-turbo-instruct | 250,000 | 3,000 |
gpt-3.5-turbo-instruct-0914 | 250,000 | 3,000 |
gpt-4 | 10,000 | 200 |
gpt-4-0314 | 10,000 | 200 |
gpt-4-0613 | 10,000 | 200 |
TEXT(文字类) | ||
ada | 250,000 | 3,000 |
ada-code-search-code | 250,000 | 3,000 |
ada-code-search-text | 250,000 | 3,000 |
ada-search-document | 250,000 | 3,000 |
ada-search-query | 250,000 | 3,000 |
ada-similarity | 250,000 | 3,000 |
babbage | 250,000 | 3,000 |
babbage-002 | 250,000 | 3,000 |
babbage-code-search-code | 250,000 | 3,000 |
babbage-code-search-text | 250,000 | 3,000 |
babbage-search-document | 250,000 | 3,000 |
babbage-search-query | 250,000 | 3,000 |
babbage-similarity | 250,000 | 3,000 |
code-davinci-edit-001 | 150,000 | 20 |
code-search-ada-code-001 | 250,000 | 3,000 |
code-search-ada-text-001 | 250,000 | 3,000 |
code-search-babbage-code-001 | 250,000 | 3,000 |
code-search-babbage-text-001 | 250,000 | 3,000 |
curie | 250,000 | 3,000 |
curie-instruct-beta | 250,000 | 3,000 |
curie-search-document | 250,000 | 3,000 |
curie-search-query | 250,000 | 3,000 |
curie-similarity | 250,000 | 3,000 |
davinci | 250,000 | 3,000 |
davinci-002 | 250,000 | 3,000 |
davinci-instruct-beta | 250,000 | 3,000 |
davinci-search-document | 250,000 | 3,000 |
davinci-search-query | 250,000 | 3,000 |
davinci-similarity | 250,000 | 3,000 |
text-ada-001 | 250,000 | 3,000 |
text-babbage-001 | 250,000 | 3,000 |
text-curie-001 | 250,000 | 3,000 |
text-davinci-001 | 250,000 | 3,000 |
text-davinci-002 | 250,000 | 3,000 |
text-davinci-003 | 250,000 | 3,000 |
text-davinci-edit-001 | 150,000 | 20 |
text-embedding-ada-002 | 1,000,000 | 3,000 |
text-search-ada-doc-001 | 250,000 | 3,000 |
text-search-ada-query-001 | 250,000 | 3,000 |
text-search-babbage-doc-001 | 250,000 | 3,000 |
text-search-babbage-query-001 | 250,000 | 3,000 |
text-search-curie-doc-001 | 250,000 | 3,000 |
text-search-curie-query-001 | 250,000 | 3,000 |
text-search-davinci-doc-001 | 250,000 | 3,000 |
text-search-davinci-query-001 | 250,000 | 3,000 |
text-similarity-ada-001 | 250,000 | 3,000 |
text-similarity-babbage-001 | 250,000 | 3,000 |
text-similarity-curie-001 | 250,000 | 3,000 |
text-similarity-davinci-001 | 250,000 | 3,000 |
FINE-TUNING INFERENCE (SHARES LIMITS WITH BASE MODEL) | ||
babbage-002 | 250,000 | 3,000 |
davinci-002 | 250,000 | 3,000 |
gpt-3.5-turbo-0613 | 90,000 | 3,500 |
FINE-TUNING TRAINING | ACTIVE / QUEUED JOBS | JOBS PER DAY |
babbage-002 | 3 | 48 |
davinci-002 | 3 | 48 |
gpt-3.5-turbo-0613 | 3 | 48 |
MODERATION | ||
text-moderation-latest | 150,000 | 1,000 |
text-moderation-stable | 150,000 | 1,000 |
IMAGE | IMG / MIN | |
DALL·E 2 | 50 | ∞ |
AUDIO | ||
whisper-1 | --- | 50 |
OTHER | ||
Default limits for all other models | 250,000 | 3,000 |