mirror of
https://github.com/songquanpeng/one-api.git
synced 2025-10-01 15:46:38 +08:00
118 lines
3.9 KiB
Go
118 lines
3.9 KiB
Go
package common
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import (
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"encoding/json"
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"strings"
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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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"1024×1792": 2,
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"1792×1024": 2,
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},
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}
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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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"gpt-4": 15,
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"gpt-4-0314": 15,
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"gpt-4-0613": 15,
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"gpt-4-32k": 30,
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"gpt-4-32k-0314": 30,
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"gpt-4-32k-0613": 30,
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"gpt-3.5-turbo": 0.75, // $0.0015 / 1K tokens
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"gpt-3.5-turbo-0301": 0.75,
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"gpt-3.5-turbo-0613": 0.75,
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"gpt-3.5-turbo-16k": 1.5, // $0.003 / 1K tokens
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"gpt-3.5-turbo-16k-0613": 1.5,
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"gpt-3.5-turbo-instruct": 0.75, // $0.0015 / 1K tokens
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"text-ada-001": 0.2,
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"text-babbage-001": 0.25,
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"text-curie-001": 1,
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"text-davinci-002": 10,
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"text-davinci-003": 10,
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"text-davinci-edit-001": 10,
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"code-davinci-edit-001": 10,
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"whisper-1": 15, // $0.006 / minute -> $0.006 / 150 words -> $0.006 / 200 tokens -> $0.03 / 1k tokens
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"davinci": 10,
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"curie": 10,
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"babbage": 10,
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"ada": 10,
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"text-embedding-ada-002": 0.05,
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"text-search-ada-doc-001": 10,
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"text-moderation-stable": 0.1,
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"text-moderation-latest": 0.1,
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"dall-e-2": 8, // $0.016 - $0.020 / image
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"dall-e-3": 20, // ￥0.040 - ￥0.120 / image
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"claude-instant-1": 0.815, // $1.63 / 1M tokens
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"claude-2": 5.51, // $11.02 / 1M tokens
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"ERNIE-Bot": 0.8572, // ￥0.012 / 1k tokens
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"ERNIE-Bot-turbo": 0.5715, // ￥0.008 / 1k tokens
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"ERNIE-Bot-4": 8.572, // ￥0.12 / 1k tokens
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"Embedding-V1": 0.1429, // ￥0.002 / 1k tokens
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"PaLM-2": 1,
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"chatglm_turbo": 0.3572, // ￥0.005 / 1k tokens
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"chatglm_pro": 0.7143, // ￥0.01 / 1k tokens
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"chatglm_std": 0.3572, // ￥0.005 / 1k tokens
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"chatglm_lite": 0.1429, // ￥0.002 / 1k tokens
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"qwen-turbo": 0.8572, // ￥0.012 / 1k tokens
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"qwen-plus": 10, // ￥0.14 / 1k tokens
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"text-embedding-v1": 0.05, // ￥0.0007 / 1k tokens
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"SparkDesk": 1.2858, // ￥0.018 / 1k tokens
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"360GPT_S2_V9": 0.8572, // ¥0.012 / 1k tokens
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"embedding-bert-512-v1": 0.0715, // ¥0.001 / 1k tokens
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"embedding_s1_v1": 0.0715, // ¥0.001 / 1k tokens
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"semantic_similarity_s1_v1": 0.0715, // ¥0.001 / 1k tokens
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"hunyuan": 7.143, // ¥0.1 / 1k tokens // https://cloud.tencent.com/document/product/1729/97731#e0e6be58-60c8-469f-bdeb-6c264ce3b4d0
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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 GetModelRatio(name string) float64 {
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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 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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return 1.333333
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}
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if strings.HasPrefix(name, "gpt-4") {
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return 2
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}
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if strings.HasPrefix(name, "claude-instant-1") {
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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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