模型倍率
{
“360GPT_S2_V9”: 0.8572,
“Baichuan2-53B”: 1.42,
“Baichuan2-Turbo”: 0.568,
“Baichuan2-Turbo-192k”: 1.136,
“ChatPro”: 7.1,
“ChatStd”: 0.71,
“ERNIE-Bot”: 0.8572,
“ERNIE-Bot-4”: 8.52,
“ERNIE-Bot-8K”: 1.704,
“ERNIE-Bot-turbo”: 0.5715,
“Embedding-V1”: 0.1429,
“PaLM-2”: 1,
“SparkDesk”: 0.8572,
“SparkDesk-v1.1”: 1.2858,
“SparkDesk-v2.1”: 1.2858,
“SparkDesk-v3.1”: 1.2858,
“SparkDesk-v3.5”: 1.2858,
“abab5.5-chat”: 1.065,
“abab5.5s-chat”: 0.355,
“abab6-chat”: 7.1,
“ada”: 10,
“babbage”: 10,
“babbage-002”: 0.2,
“bge-large-8k”: 0.142,
“bge-large-en”: 0.142,
“bge-large-zh”: 0.142,
“chatglm_lite”: 0.1429,
“chatglm_pro”: 0.7143,
“chatglm_std”: 0.3572,
“chatglm_turbo”: 0.3572,
“claude-1”: 0.815,
“claude-1-100k”: 0.815,
“claude-1.1”: 0.815,
“claude-1.1-100k”: 0.815,
“claude-1.2”: 0.815,
“claude-1.2-100k”: 0.815,
“claude-1.3”: 0.815,
“claude-1.3-100k”: 0.815,
“claude-2”: 5.51,
“claude-2.0”: 5.51,
“claude-2.1”: 4,
“claude-3-5-sonnet-20240620”: 3,
“claude-3-haiku-20240307”: 0.125,
“claude-3-haiku-all”: 0.125,
“claude-3-opus-20240229”: 15,
“claude-3-opus-all”: 15,
“claude-3-sonnet-20240229”: 1.5,
“claude-3-sonnet-all”: 1.5,
“claude-instant-1.2”: 0.815,
“code-davinci-edit-001”: 10,
“code-llama-13b”: 1,
“code-llama-34b”: 1,
“code-llama-7b”: 1,
“codellama-70b-instruct”: 1,
“curie”: 10,
“dall-e”: 8,
“dall-e-2”: 8,
“dall-e-3”: 20,
“davinci”: 10,
“davinci-002”: 1,
“dbrx-instruct”: 1,
“deepseek-chat”: 0.5,
“deepseek-coder”: 0.5,
“embedding-bert-512-v1”: 0.0715,
“embedding_s1_v1”: 0.0715,
“gemini-1.0-pro”: 0.25,
“gemini-1.0-pro-001”: 0.25,
“gemini-1.0-pro-latest”: 0.25,
“gemini-1.0-pro-vision-001”: 1,
“gemini-1.0-pro-vision-latest”: 0.25,
“gemini-1.5-flash”: 0.35,
“gemini-1.5-flash-latest”: 0.35,
“gemini-1.5-pro”: 3.5,
“gemini-1.5-pro-exp-0801”: 3.5,
“gemini-1.5-pro-latest”: 3.5,
“gemini-pro”: 1,
“gemini-pro-vision”: 2,
“gemma-2b-it”: 1,
“gemma-7b-it”: 1,
“glm-3-turbo”: 0.75,
“glm-4”: 15,
“glm-4-0520”: 15,
“glm-4-air”: 0.15,
“glm-4-airx”: 1.5,
“glm-4-flash”: 0.015,
“glm-4v”: 7.1,
“google-palm”: 1,
“gpt-3.5-turbo”: 0.75,
“gpt-3.5-turbo-0125”: 0.25,
“gpt-3.5-turbo-0301”: 0.75,
“gpt-3.5-turbo-0613”: 0.75,
“gpt-3.5-turbo-1106”: 0.5,
“gpt-3.5-turbo-16k”: 1.5,
“gpt-3.5-turbo-16k-0613”: 1.5,
“gpt-3.5-turbo-haining”: 0.75,
“gpt-3.5-turbo-instruct”: 0.75,
“gpt-4”: 15,
“gpt-4-0125-preview”: 5,
“gpt-4-0314”: 15,
“gpt-4-0613”: 15,
“gpt-4-1106-preview”: 5,
“gpt-4-32k”: 30,
“gpt-4-32k-0314”: 30,
“gpt-4-32k-0613”: 30,
“gpt-4-all”: 15,
“gpt-4-dalle”: 15,
“gpt-4-gizmo-*”: 15,
“gpt-4-turbo”: 5,
“gpt-4-turbo-2024-04-09”: 5,
“gpt-4-turbo-preview”: 5,
“gpt-4-v”: 15,
“gpt-4-vision-preview”: 5,
“gpt-4o”: 2.5,
“gpt-4o-2024-05-13”: 2.5,
“gpt-4o-2024-08-06”: 1.25,
“gpt-4o-all”: 2.5,
“gpt-4o-mini”: 0.075,
“hunyuan”: 7.143,
“llama-2-13b”: 1,
“llama-2-70b”: 1,
“llama-2-7b”: 1,
“llama-3-70b”: 2,
“llama-3-8b”: 1,
“llama-3.1-405b”: 3,
“llama-3.1-70b”: 2,
“llama-3.1-8b”: 1,
“llama2-70b-4096”: 0.35,
“llama2-7b-2048”: 0.05,
“llava-v1.5-7b-wrapper”: 1,
“llava-v1.6-34b”: 1,
“mistral-7b-instruct”: 1,
“mistral-embed”: 0.05,
“mistral-large-latest”: 4,
“mistral-medium”: 1,
“mistral-medium-latest”: 1.35,
“mistral-small-latest”: 1,
“mixtral-8x22b”: 1,
“mixtral-8x7b”: 2,
“mixtral-8x7b-32768”: 0.135,
“mixtral-8x7b-instruct”: 1,
“moonshot-v1-128k”: 4.26,
“moonshot-v1-32k”: 1.704,
“moonshot-v1-8k”: 0.852,
“open-mistral-7b”: 0.125,
“open-mixtral-8x7b”: 0.35,
“qwen-72b”: 1,
“qwen-max”: 1.4286,
“qwen-max-longcontext”: 1.4286,
“qwen-plus”: 1.4286,
“qwen-plus-v1”: 0.5715,
“qwen-turbo”: 0.5715,
“qwen-v1”: 0.8572,
“search”: 0.1,
“search-gpts”: 0.5,
“search-gpts-chat”: 0.5,
“search-serper”: 0.00001,
“semantic_similarity_s1_v1”: 0.0715,
“sonar-medium-chat”: 1,
“sonar-medium-online”: 1,
“sonar-small-chat”: 1,
“sonar-small-online”: 1,
“stable-diffusion”: 1,
“text-ada-001”: 0.2,
“text-babbage-001”: 0.25,
“text-curie-001”: 1,
“text-davinci-002”: 10,
“text-davinci-003”: 10,
“text-davinci-edit-001”: 10,
“text-embedding-3-large”: 0.065,
“text-embedding-3-small”: 0.01,
“text-embedding-ada-002”: 0.05,
“text-embedding-v1”: 0.05,
“text-moderation-latest”: 0.1,
“text-moderation-stable”: 0.1,
“text-search-ada-doc-001”: 10,
“tts-1”: 7.5,
“tts-1-1106”: 7.5,
“tts-1-hd”: 15,
“tts-1-hd-1106”: 15,
“url”: 0.2,
“whisper-1”: 10,
“yi-34b-chat-0205”: 0.1775,
“yi-34b-chat-200k”: 0.852,
“yi-vl-plus”: 0.426
}
补全倍率
默认：1.00
{
“claude-3-5-sonnet-20240620”: 5,
“claude-3-haiku-20240307”: 5,
“claude-3-opus-20240229”: 5,
“claude-3-sonnet-20240229”: 5,
“gemini-1.0-pro”: 3,
“gemini-1.0-pro-001”: 3,
“gemini-1.0-pro-latest”: 3,
“gemini-1.0-pro-vision-latest”: 3,
“gemini-1.5-flash”: 3,
“gemini-1.5-flash-latest”: 3,
“gemini-1.5-pro”: 3,
“gemini-1.5-pro-latest”: 3,
“gemini-pro”: 3,
“gemini-pro-vision”: 3,
“gpt-3.5-turbo”: 1.33,
“gpt-4-turbo”: 3,
“gpt-4-turbo-2024-04-09”: 3,
“gpt-4o”: 3,
“gpt-4o-2024-05-13”: 3,
“gpt-4o-2024-08-06”: 4,
“gpt-4o-all”: 3,
“gpt-4o-mini”: 4
}
0.7一刀
arzue混逆向
不知道划不划算
论坛有佬发过工具，搜一下
1 个赞
什么类型的工具呢
搜一下，计算倍率的
help top
不是这个，论坛有个佬写的
找不到啊。。。。
是不是说这个
1 个赞
刚好要这个模式的逆向计算
所以还是不太符合
官网输入价格除以0.002就是倍率
返回倍率不用写吗
挂一下我自己的帖子互助