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model-ratio.go
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package common
import (
"encoding/json"
"strings"
)
// ModelRatio
// https://platform.openai.com/docs/models/model-endpoint-compatibility
// https://cloud.baidu.com/doc/WENXINWORKSHOP/s/Blfmc9dlf
// https://openai.com/pricing
// TODO: when a new api is enabled, check the pricing here
// 1 === $0.002 / 1K tokens
// 1 === ￥0.014 / 1k tokens
var ModelRatio = map[string]float64{
"gpt-4": 15,
"gpt-4-0314": 15,
"gpt-4-0613": 15,
"gpt-4-32k": 30,
"gpt-4-32k-0314": 30,
"gpt-4-32k-0613": 30,
"gpt-3.5-turbo": 0.75, // $0.0015 / 1K tokens
"gpt-3.5-turbo-0301": 0.75,
"gpt-3.5-turbo-0613": 0.75,
"gpt-3.5-turbo-16k": 1.5, // $0.003 / 1K tokens
"gpt-3.5-turbo-16k-0613": 1.5,
"gpt-3.5-turbo-instruct": 0.75, // $0.0015 / 1K tokens
"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,
"code-davinci-edit-001": 10,
"whisper-1": 15, // $0.006 / minute -> $0.006 / 150 words -> $0.006 / 200 tokens -> $0.03 / 1k tokens
"davinci": 10,
"curie": 10,
"babbage": 10,
"ada": 10,
"text-embedding-ada-002": 0.05,
"text-search-ada-doc-001": 10,
"text-moderation-stable": 0.1,
"text-moderation-latest": 0.1,
"dall-e": 8,
"claude-instant-1": 0.815, // $1.63 / 1M tokens
"claude-2": 5.51, // $11.02 / 1M tokens
"ERNIE-Bot": 0.8572, // ￥0.012 / 1k tokens
"ERNIE-Bot-turbo": 0.5715, // ￥0.008 / 1k tokens
"Embedding-V1": 0.1429, // ￥0.002 / 1k tokens
"PaLM-2": 1,
"chatglm_pro": 0.7143, // ￥0.01 / 1k tokens
"chatglm_std": 0.3572, // ￥0.005 / 1k tokens
"chatglm_lite": 0.1429, // ￥0.002 / 1k tokens
"qwen-turbo": 0.8572, // ￥0.012 / 1k tokens
"qwen-plus": 10, // ￥0.14 / 1k tokens
"text-embedding-v1": 0.05, // ￥0.0007 / 1k tokens
"SparkDesk": 1.2858, // ￥0.018 / 1k tokens
"360GPT_S2_V9": 0.8572, // ¥0.012 / 1k tokens
"embedding-bert-512-v1": 0.0715, // ¥0.001 / 1k tokens
"embedding_s1_v1": 0.0715, // ¥0.001 / 1k tokens
"semantic_similarity_s1_v1": 0.0715, // ¥0.001 / 1k tokens
"360GPT_S2_V9.4": 0.8572, // ¥0.012 / 1k tokens
}
func ModelRatio2JSONString() string {
jsonBytes, err := json.Marshal(ModelRatio)
if err != nil {
SysError("error marshalling model ratio: " + err.Error())
}
return string(jsonBytes)
}
func UpdateModelRatioByJSONString(jsonStr string) error {
ModelRatio = make(map[string]float64)
return json.Unmarshal([]byte(jsonStr), &ModelRatio)
}
func GetModelRatio(name string) float64 {
ratio, ok := ModelRatio[name]
if !ok {
SysError("model ratio not found: " + name)
return 30
}
return ratio
}
func GetCompletionRatio(name string) float64 {
if strings.HasPrefix(name, "gpt-3.5") {
return 1.333333
}
if strings.HasPrefix(name, "gpt-4") {
return 2
}
if strings.HasPrefix(name, "claude-instant-1") {
return 3.38
}
if strings.HasPrefix(name, "claude-2") {
return 2.965517
}
return 1
}