model-ratio.go 3.5 KB

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  1. package common
  2. import (
  3. "encoding/json"
  4. "strings"
  5. )
  6. // ModelRatio
  7. // https://platform.openai.com/docs/models/model-endpoint-compatibility
  8. // https://cloud.baidu.com/doc/WENXINWORKSHOP/s/Blfmc9dlf
  9. // https://openai.com/pricing
  10. // TODO: when a new api is enabled, check the pricing here
  11. // 1 === $0.002 / 1K tokens
  12. // 1 === ¥0.014 / 1k tokens
  13. var ModelRatio = map[string]float64{
  14. "gpt-4": 15,
  15. "gpt-4-0314": 15,
  16. "gpt-4-0613": 15,
  17. "gpt-4-32k": 30,
  18. "gpt-4-32k-0314": 30,
  19. "gpt-4-32k-0613": 30,
  20. "gpt-3.5-turbo": 0.75, // $0.0015 / 1K tokens
  21. "gpt-3.5-turbo-0301": 0.75,
  22. "gpt-3.5-turbo-0613": 0.75,
  23. "gpt-3.5-turbo-16k": 1.5, // $0.003 / 1K tokens
  24. "gpt-3.5-turbo-16k-0613": 1.5,
  25. "gpt-3.5-turbo-instruct": 0.75, // $0.0015 / 1K tokens
  26. "text-ada-001": 0.2,
  27. "text-babbage-001": 0.25,
  28. "text-curie-001": 1,
  29. "text-davinci-002": 10,
  30. "text-davinci-003": 10,
  31. "text-davinci-edit-001": 10,
  32. "code-davinci-edit-001": 10,
  33. "whisper-1": 15, // $0.006 / minute -> $0.006 / 150 words -> $0.006 / 200 tokens -> $0.03 / 1k tokens
  34. "davinci": 10,
  35. "curie": 10,
  36. "babbage": 10,
  37. "ada": 10,
  38. "text-embedding-ada-002": 0.05,
  39. "text-search-ada-doc-001": 10,
  40. "text-moderation-stable": 0.1,
  41. "text-moderation-latest": 0.1,
  42. "dall-e": 8,
  43. "claude-instant-1": 0.815, // $1.63 / 1M tokens
  44. "claude-2": 5.51, // $11.02 / 1M tokens
  45. "ERNIE-Bot": 0.8572, // ¥0.012 / 1k tokens
  46. "ERNIE-Bot-turbo": 0.5715, // ¥0.008 / 1k tokens
  47. "ERNIE-Bot-4": 8.572, // ¥0.12 / 1k tokens
  48. "Embedding-V1": 0.1429, // ¥0.002 / 1k tokens
  49. "PaLM-2": 1,
  50. "chatglm_pro": 0.7143, // ¥0.01 / 1k tokens
  51. "chatglm_std": 0.3572, // ¥0.005 / 1k tokens
  52. "chatglm_lite": 0.1429, // ¥0.002 / 1k tokens
  53. "qwen-turbo": 0.8572, // ¥0.012 / 1k tokens
  54. "qwen-plus": 10, // ¥0.14 / 1k tokens
  55. "text-embedding-v1": 0.05, // ¥0.0007 / 1k tokens
  56. "SparkDesk": 1.2858, // ¥0.018 / 1k tokens
  57. "360GPT_S2_V9": 0.8572, // ¥0.012 / 1k tokens
  58. "embedding-bert-512-v1": 0.0715, // ¥0.001 / 1k tokens
  59. "embedding_s1_v1": 0.0715, // ¥0.001 / 1k tokens
  60. "semantic_similarity_s1_v1": 0.0715, // ¥0.001 / 1k tokens
  61. "hunyuan": 7.143, // ¥0.1 / 1k tokens // https://cloud.tencent.com/document/product/1729/97731#e0e6be58-60c8-469f-bdeb-6c264ce3b4d0
  62. }
  63. func ModelRatio2JSONString() string {
  64. jsonBytes, err := json.Marshal(ModelRatio)
  65. if err != nil {
  66. SysError("error marshalling model ratio: " + err.Error())
  67. }
  68. return string(jsonBytes)
  69. }
  70. func UpdateModelRatioByJSONString(jsonStr string) error {
  71. ModelRatio = make(map[string]float64)
  72. return json.Unmarshal([]byte(jsonStr), &ModelRatio)
  73. }
  74. func GetModelRatio(name string) float64 {
  75. ratio, ok := ModelRatio[name]
  76. if !ok {
  77. SysError("model ratio not found: " + name)
  78. return 30
  79. }
  80. return ratio
  81. }
  82. func GetCompletionRatio(name string) float64 {
  83. if strings.HasPrefix(name, "gpt-3.5") {
  84. return 1.333333
  85. }
  86. if strings.HasPrefix(name, "gpt-4") {
  87. return 2
  88. }
  89. if strings.HasPrefix(name, "claude-instant-1") {
  90. return 3.38
  91. }
  92. if strings.HasPrefix(name, "claude-2") {
  93. return 2.965517
  94. }
  95. return 1
  96. }