mirror of
https://github.com/songquanpeng/one-api.git
synced 2025-09-29 14:46:38 +08:00
329 lines
13 KiB
Go
329 lines
13 KiB
Go
package common
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import (
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"encoding/json"
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"strings"
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"time"
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)
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type ModelType struct {
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Ratio []float64
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Type int
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}
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var ModelTypes map[string]ModelType
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// ModelRatio
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// https://platform.openai.com/docs/models/model-endpoint-compatibility
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// https://cloud.baidu.com/doc/WENXINWORKSHOP/s/Blfmc9dlf
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// https://openai.com/pricing
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// TODO: when a new api is enabled, check the pricing here
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// 1 === $0.002 / 1K tokens
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// 1 === ￥0.014 / 1k tokens
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var ModelRatio map[string][]float64
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func init() {
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ModelTypes = map[string]ModelType{
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// $0.03 / 1K tokens $0.06 / 1K tokens
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"gpt-4": {[]float64{15, 30}, ChannelTypeOpenAI},
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"gpt-4-0314": {[]float64{15, 30}, ChannelTypeOpenAI},
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"gpt-4-0613": {[]float64{15, 30}, ChannelTypeOpenAI},
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// $0.06 / 1K tokens $0.12 / 1K tokens
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"gpt-4-32k": {[]float64{30, 60}, ChannelTypeOpenAI},
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"gpt-4-32k-0314": {[]float64{30, 60}, ChannelTypeOpenAI},
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"gpt-4-32k-0613": {[]float64{30, 60}, ChannelTypeOpenAI},
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// $0.01 / 1K tokens $0.03 / 1K tokens
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"gpt-4-preview": {[]float64{5, 15}, ChannelTypeOpenAI},
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"gpt-4-1106-preview": {[]float64{5, 15}, ChannelTypeOpenAI},
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"gpt-4-0125-preview": {[]float64{5, 15}, ChannelTypeOpenAI},
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"gpt-4-turbo-preview": {[]float64{5, 15}, ChannelTypeOpenAI},
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"gpt-4-vision-preview": {[]float64{5, 15}, ChannelTypeOpenAI},
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// $0.0005 / 1K tokens $0.0015 / 1K tokens
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"gpt-3.5-turbo": {[]float64{0.25, 0.75}, ChannelTypeOpenAI},
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"gpt-3.5-turbo-0125": {[]float64{0.25, 0.75}, ChannelTypeOpenAI},
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// $0.0015 / 1K tokens $0.002 / 1K tokens
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"gpt-3.5-turbo-0301": {[]float64{0.75, 1}, ChannelTypeOpenAI},
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"gpt-3.5-turbo-0613": {[]float64{0.75, 1}, ChannelTypeOpenAI},
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"gpt-3.5-turbo-instruct": {[]float64{0.75, 1}, ChannelTypeOpenAI},
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// $0.003 / 1K tokens $0.004 / 1K tokens
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"gpt-3.5-turbo-16k": {[]float64{1.5, 2}, ChannelTypeOpenAI},
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"gpt-3.5-turbo-16k-0613": {[]float64{1.5, 2}, ChannelTypeOpenAI},
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// $0.001 / 1K tokens $0.002 / 1K tokens
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"gpt-3.5-turbo-1106": {[]float64{0.5, 1}, ChannelTypeOpenAI},
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// $0.0020 / 1K tokens
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"davinci-002": {[]float64{1, 1}, ChannelTypeOpenAI},
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// $0.0004 / 1K tokens
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"babbage-002": {[]float64{0.2, 0.2}, ChannelTypeOpenAI},
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"text-ada-001": {[]float64{0.2, 0.2}, ChannelTypeOpenAI},
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"text-babbage-001": {[]float64{0.25, 0.25}, ChannelTypeOpenAI},
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"text-curie-001": {[]float64{1, 1}, ChannelTypeOpenAI},
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"text-davinci-002": {[]float64{10, 10}, ChannelTypeOpenAI},
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"text-davinci-003": {[]float64{10, 10}, ChannelTypeOpenAI},
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"text-davinci-edit-001": {[]float64{10, 10}, ChannelTypeOpenAI},
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"code-davinci-edit-001": {[]float64{10, 10}, ChannelTypeOpenAI},
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// $0.006 / minute -> $0.006 / 150 words -> $0.006 / 200 tokens -> $0.03 / 1k tokens
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"whisper-1": {[]float64{15, 15}, ChannelTypeOpenAI},
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// $0.015 / 1K characters
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"tts-1": {[]float64{7.5, 7.5}, ChannelTypeOpenAI},
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"tts-1-1106": {[]float64{7.5, 7.5}, ChannelTypeOpenAI},
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// $0.030 / 1K characters
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"tts-1-hd": {[]float64{15, 15}, ChannelTypeOpenAI},
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"tts-1-hd-1106": {[]float64{15, 15}, ChannelTypeOpenAI},
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"davinci": {[]float64{10, 10}, ChannelTypeOpenAI},
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"curie": {[]float64{10, 10}, ChannelTypeOpenAI},
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"babbage": {[]float64{10, 10}, ChannelTypeOpenAI},
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"ada": {[]float64{10, 10}, ChannelTypeOpenAI},
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"text-embedding-ada-002": {[]float64{0.05, 0.05}, ChannelTypeOpenAI},
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// $0.00002 / 1K tokens
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"text-embedding-3-small": {[]float64{0.01, 0.01}, ChannelTypeOpenAI},
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// $0.00013 / 1K tokens
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"text-embedding-3-large": {[]float64{0.065, 0.065}, ChannelTypeOpenAI},
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"text-search-ada-doc-001": {[]float64{10, 10}, ChannelTypeOpenAI},
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"text-moderation-stable": {[]float64{0.1, 0.1}, ChannelTypeOpenAI},
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"text-moderation-latest": {[]float64{0.1, 0.1}, ChannelTypeOpenAI},
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// $0.016 - $0.020 / image
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"dall-e-2": {[]float64{8, 8}, ChannelTypeOpenAI},
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// $0.040 - $0.120 / image
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"dall-e-3": {[]float64{20, 20}, ChannelTypeOpenAI},
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// $0.80/million tokens $2.40/million tokens
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"claude-instant-1.2": {[]float64{0.4, 1.2}, ChannelTypeAnthropic},
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// $8.00/million tokens $24.00/million tokens
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"claude-2.0": {[]float64{4, 12}, ChannelTypeAnthropic},
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"claude-2.1": {[]float64{4, 12}, ChannelTypeAnthropic},
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// $15 / M $75 / M
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"claude-3-opus-20240229": {[]float64{7.5, 22.5}, ChannelTypeAnthropic},
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// $3 / M $15 / M
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"claude-3-sonnet-20240229": {[]float64{1.3, 3.9}, ChannelTypeAnthropic},
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// $0.25 / M $1.25 / M 0.00025$ / 1k tokens 0.00125$ / 1k tokens
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"claude-3-haiku-20240307": {[]float64{0.125, 0.625}, ChannelTypeAnthropic},
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// ￥0.004 / 1k tokens ￥0.008 / 1k tokens
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"ERNIE-Speed": {[]float64{0.2857, 0.5714}, ChannelTypeBaidu},
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// ￥0.012 / 1k tokens ￥0.012 / 1k tokens
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"ERNIE-Bot": {[]float64{0.8572, 0.8572}, ChannelTypeBaidu},
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"ERNIE-3.5-8K": {[]float64{0.8572, 0.8572}, ChannelTypeBaidu},
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// 0.024元/千tokens 0.048元/千tokens
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"ERNIE-Bot-8k": {[]float64{1.7143, 3.4286}, ChannelTypeBaidu},
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// ￥0.008 / 1k tokens ￥0.008 / 1k tokens
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"ERNIE-Bot-turbo": {[]float64{0.5715, 0.5715}, ChannelTypeBaidu},
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// ￥0.12 / 1k tokens ￥0.12 / 1k tokens
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"ERNIE-Bot-4": {[]float64{8.572, 8.572}, ChannelTypeBaidu},
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"ERNIE-4.0": {[]float64{8.572, 8.572}, ChannelTypeBaidu},
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// ￥0.002 / 1k tokens
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"Embedding-V1": {[]float64{0.1429, 0.1429}, ChannelTypeBaidu},
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// ￥0.004 / 1k tokens
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"BLOOMZ-7B": {[]float64{0.2857, 0.2857}, ChannelTypeBaidu},
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"PaLM-2": {[]float64{1, 1}, ChannelTypePaLM},
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"gemini-pro": {[]float64{1, 1}, ChannelTypeGemini},
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"gemini-pro-vision": {[]float64{1, 1}, ChannelTypeGemini},
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// ￥0.005 / 1k tokens
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"glm-3-turbo": {[]float64{0.3572, 0.3572}, ChannelTypeZhipu},
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// ￥0.1 / 1k tokens
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"glm-4": {[]float64{7.143, 7.143}, ChannelTypeZhipu},
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"glm-4v": {[]float64{7.143, 7.143}, ChannelTypeZhipu},
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// ￥0.0005 / 1k tokens
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"embedding-2": {[]float64{0.0357, 0.0357}, ChannelTypeZhipu},
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// ￥0.25 / 1张图片
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"cogview-3": {[]float64{17.8571, 17.8571}, ChannelTypeZhipu},
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// ￥0.008 / 1k tokens
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"qwen-turbo": {[]float64{0.5715, 0.5715}, ChannelTypeAli},
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// ￥0.02 / 1k tokens
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"qwen-plus": {[]float64{1.4286, 1.4286}, ChannelTypeAli},
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"qwen-vl-max": {[]float64{1.4286, 1.4286}, ChannelTypeAli},
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// 0.12元/1,000tokens
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"qwen-max": {[]float64{8.5714, 8.5714}, ChannelTypeAli},
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"qwen-max-longcontext": {[]float64{8.5714, 8.5714}, ChannelTypeAli},
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// 0.008元/1,000tokens
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"qwen-vl-plus": {[]float64{0.5715, 0.5715}, ChannelTypeAli},
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// ￥0.0007 / 1k tokens
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"text-embedding-v1": {[]float64{0.05, 0.05}, ChannelTypeAli},
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// ￥0.018 / 1k tokens
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"SparkDesk": {[]float64{1.2858, 1.2858}, ChannelTypeXunfei},
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"SparkDesk-v1.1": {[]float64{1.2858, 1.2858}, ChannelTypeXunfei},
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"SparkDesk-v2.1": {[]float64{1.2858, 1.2858}, ChannelTypeXunfei},
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"SparkDesk-v3.1": {[]float64{1.2858, 1.2858}, ChannelTypeXunfei},
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"SparkDesk-v3.5": {[]float64{1.2858, 1.2858}, ChannelTypeXunfei},
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// ¥0.012 / 1k tokens
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"360GPT_S2_V9": {[]float64{0.8572, 0.8572}, ChannelType360},
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// ¥0.001 / 1k tokens
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"embedding-bert-512-v1": {[]float64{0.0715, 0.0715}, ChannelType360},
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"embedding_s1_v1": {[]float64{0.0715, 0.0715}, ChannelType360},
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"semantic_similarity_s1_v1": {[]float64{0.0715, 0.0715}, ChannelType360},
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// ¥0.1 / 1k tokens // https://cloud.tencent.com/document/product/1729/97731#e0e6be58-60c8-469f-bdeb-6c264ce3b4d0
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"hunyuan": {[]float64{7.143, 7.143}, ChannelTypeTencent},
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// https://cloud.tencent.com/document/product/1729/97731#e0e6be58-60c8-469f-bdeb-6c264ce3b4d0
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// ¥0.01 / 1k tokens
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"ChatStd": {[]float64{0.7143, 0.7143}, ChannelTypeTencent},
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//¥0.1 / 1k tokens
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"ChatPro": {[]float64{7.143, 7.143}, ChannelTypeTencent},
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"Baichuan2-Turbo": {[]float64{0.5715, 0.5715}, ChannelTypeBaichuan}, // ¥0.008 / 1k tokens
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"Baichuan2-Turbo-192k": {[]float64{1.143, 1.143}, ChannelTypeBaichuan}, // ¥0.016 / 1k tokens
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"Baichuan2-53B": {[]float64{1.4286, 1.4286}, ChannelTypeBaichuan}, // ¥0.02 / 1k tokens
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"Baichuan-Text-Embedding": {[]float64{0.0357, 0.0357}, ChannelTypeBaichuan}, // ¥0.0005 / 1k tokens
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"abab5.5s-chat": {[]float64{0.3572, 0.3572}, ChannelTypeMiniMax}, // ¥0.005 / 1k tokens
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"abab5.5-chat": {[]float64{1.0714, 1.0714}, ChannelTypeMiniMax}, // ¥0.015 / 1k tokens
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"abab6-chat": {[]float64{14.2857, 14.2857}, ChannelTypeMiniMax}, // ¥0.2 / 1k tokens
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"embo-01": {[]float64{0.0357, 0.0357}, ChannelTypeMiniMax}, // ¥0.0005 / 1k tokens
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"deepseek-coder": {[]float64{0.75, 0.75}, ChannelTypeDeepseek}, // 暂定 $0.0015 / 1K tokens
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"deepseek-chat": {[]float64{0.75, 0.75}, ChannelTypeDeepseek}, // 暂定 $0.0015 / 1K tokens
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"moonshot-v1-8k": {[]float64{0.8572, 0.8572}, ChannelTypeMoonshot}, // ¥0.012 / 1K tokens
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"moonshot-v1-32k": {[]float64{1.7143, 1.7143}, ChannelTypeMoonshot}, // ¥0.024 / 1K tokens
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"moonshot-v1-128k": {[]float64{4.2857, 4.2857}, ChannelTypeMoonshot}, // ¥0.06 / 1K tokens
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"open-mistral-7b": {[]float64{0.125, 0.125}, ChannelTypeMistral}, // 0.25$ / 1M tokens 0.25$ / 1M tokens 0.00025$ / 1k tokens
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"open-mixtral-8x7b": {[]float64{0.35, 0.35}, ChannelTypeMistral}, // 0.7$ / 1M tokens 0.7$ / 1M tokens 0.0007$ / 1k tokens
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"mistral-small-latest": {[]float64{1, 3}, ChannelTypeMistral}, // 2$ / 1M tokens 6$ / 1M tokens 0.002$ / 1k tokens
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"mistral-medium-latest": {[]float64{1.35, 4.05}, ChannelTypeMistral}, // 2.7$ / 1M tokens 8.1$ / 1M tokens 0.0027$ / 1k tokens
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"mistral-large-latest": {[]float64{4, 12}, ChannelTypeMistral}, // 8$ / 1M tokens 24$ / 1M tokens 0.008$ / 1k tokens
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"mistral-embed": {[]float64{0.05, 0.05}, ChannelTypeMistral}, // 0.1$ / 1M tokens 0.1$ / 1M tokens 0.0001$ / 1k tokens
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// $0.70/$0.80 /1M Tokens 0.0007$ / 1k tokens
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"llama2-70b-4096": {[]float64{0.35, 0.4}, ChannelTypeGroq},
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// $0.10/$0.10 /1M Tokens 0.0001$ / 1k tokens
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"llama2-7b-2048": {[]float64{0.05, 0.05}, ChannelTypeGroq},
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"gemma-7b-it": {[]float64{0.05, 0.05}, ChannelTypeGroq},
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// $0.27/$0.27 /1M Tokens 0.00027$ / 1k tokens
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"mixtral-8x7b-32768": {[]float64{0.135, 0.135}, ChannelTypeGroq},
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}
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ModelRatio = make(map[string][]float64)
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for name, modelType := range ModelTypes {
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ModelRatio[name] = modelType.Ratio
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}
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}
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var DalleSizeRatios = map[string]map[string]float64{
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"dall-e-2": {
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"256x256": 1,
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"512x512": 1.125,
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"1024x1024": 1.25,
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},
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"dall-e-3": {
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"1024x1024": 1,
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"1024x1792": 2,
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"1792x1024": 2,
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},
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}
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var DalleGenerationImageAmounts = map[string][2]int{
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"dall-e-2": {1, 10},
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"dall-e-3": {1, 1}, // OpenAI allows n=1 currently.
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}
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var DalleImagePromptLengthLimitations = map[string]int{
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"dall-e-2": 1000,
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"dall-e-3": 4000,
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}
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func ModelRatio2JSONString() string {
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jsonBytes, err := json.Marshal(ModelRatio)
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if err != nil {
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SysError("error marshalling model ratio: " + err.Error())
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}
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return string(jsonBytes)
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}
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func UpdateModelRatioByJSONString(jsonStr string) error {
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ModelRatio = make(map[string][]float64)
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return json.Unmarshal([]byte(jsonStr), &ModelRatio)
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}
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func MergeModelRatioByJSONString(jsonStr string) (newJsonStr string, err error) {
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isNew := false
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inputModelRatio := make(map[string][]float64)
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err = json.Unmarshal([]byte(jsonStr), &inputModelRatio)
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if err != nil {
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inputModelRatioOld := make(map[string]float64)
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err = json.Unmarshal([]byte(jsonStr), &inputModelRatioOld)
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if err != nil {
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return
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}
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inputModelRatio = UpdateModeRatioFormat(inputModelRatioOld)
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isNew = true
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}
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// 与现有的ModelRatio进行比较，如果有新增的模型，需要添加
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for key, value := range ModelRatio {
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if _, ok := inputModelRatio[key]; !ok {
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isNew = true
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inputModelRatio[key] = value
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}
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}
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if !isNew {
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return
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}
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var jsonBytes []byte
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jsonBytes, err = json.Marshal(inputModelRatio)
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if err != nil {
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SysError("error marshalling model ratio: " + err.Error())
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}
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newJsonStr = string(jsonBytes)
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return
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}
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func UpdateModeRatioFormat(modelRatioOld map[string]float64) map[string][]float64 {
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modelRatioNew := make(map[string][]float64)
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for key, value := range modelRatioOld {
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completionRatio := GetCompletionRatio(key) * value
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modelRatioNew[key] = []float64{value, completionRatio}
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}
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return modelRatioNew
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}
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func GetModelRatio(name string) []float64 {
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if strings.HasPrefix(name, "qwen-") && strings.HasSuffix(name, "-internet") {
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name = strings.TrimSuffix(name, "-internet")
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}
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ratio, ok := ModelRatio[name]
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if !ok {
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SysError("model ratio not found: " + name)
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return []float64{30, 30}
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}
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return ratio
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}
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func GetCompletionRatio(name string) float64 {
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if strings.HasPrefix(name, "gpt-3.5") {
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if strings.HasSuffix(name, "1106") {
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return 2
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}
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if name == "gpt-3.5-turbo" || name == "gpt-3.5-turbo-16k" {
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// TODO: clear this after 2023-12-11
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now := time.Now()
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// https://platform.openai.com/docs/models/continuous-model-upgrades
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// if after 2023-12-11, use 2
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if now.After(time.Date(2023, 12, 11, 0, 0, 0, 0, time.UTC)) {
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return 2
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}
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}
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return 1.333333
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}
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if strings.HasPrefix(name, "gpt-4") {
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if strings.HasSuffix(name, "preview") {
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return 3
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}
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return 2
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}
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if strings.HasPrefix(name, "claude-instant-1.2") {
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return 3.38
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}
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if strings.HasPrefix(name, "claude-2") {
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return 2.965517
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}
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return 1
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}
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