model-ratio.go 7.4 KB

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  1. package common
  2. import (
  3. "encoding/json"
  4. "strings"
  5. "time"
  6. )
  7. // ModelRatio
  8. // https://platform.openai.com/docs/models/model-endpoint-compatibility
  9. // https://cloud.baidu.com/doc/WENXINWORKSHOP/s/Blfmc9dlf
  10. // https://openai.com/pricing
  11. // TODO: when a new api is enabled, check the pricing here
  12. // 1 === $0.002 / 1K tokens
  13. // 1 === ¥0.014 / 1k tokens
  14. var DefaultModelRatio = map[string]float64{
  15. //"midjourney": 50,
  16. "gpt-4-gizmo-*": 15,
  17. "gpt-4": 15,
  18. "gpt-4-0314": 15,
  19. "gpt-4-0613": 15,
  20. "gpt-4-32k": 30,
  21. "gpt-4-32k-0314": 30,
  22. "gpt-4-32k-0613": 30,
  23. "gpt-4-1106-preview": 5, // $0.01 / 1K tokens
  24. "gpt-4-0125-preview": 5, // $0.01 / 1K tokens
  25. "gpt-4-turbo-preview": 5, // $0.01 / 1K tokens
  26. "gpt-4-vision-preview": 5, // $0.01 / 1K tokens
  27. "gpt-4-1106-vision-preview": 5, // $0.01 / 1K tokens
  28. "gpt-3.5-turbo": 0.75, // $0.0015 / 1K tokens
  29. "gpt-3.5-turbo-0301": 0.75,
  30. "gpt-3.5-turbo-0613": 0.75,
  31. "gpt-3.5-turbo-16k": 1.5, // $0.003 / 1K tokens
  32. "gpt-3.5-turbo-16k-0613": 1.5,
  33. "gpt-3.5-turbo-instruct": 0.75, // $0.0015 / 1K tokens
  34. "gpt-3.5-turbo-1106": 0.5, // $0.001 / 1K tokens
  35. "gpt-3.5-turbo-0125": 0.25,
  36. "babbage-002": 0.2, // $0.0004 / 1K tokens
  37. "davinci-002": 1, // $0.002 / 1K tokens
  38. "text-ada-001": 0.2,
  39. "text-babbage-001": 0.25,
  40. "text-curie-001": 1,
  41. "text-davinci-002": 10,
  42. "text-davinci-003": 10,
  43. "text-davinci-edit-001": 10,
  44. "code-davinci-edit-001": 10,
  45. "whisper-1": 15, // $0.006 / minute -> $0.006 / 150 words -> $0.006 / 200 tokens -> $0.03 / 1k tokens
  46. "tts-1": 7.5, // 1k characters -> $0.015
  47. "tts-1-1106": 7.5, // 1k characters -> $0.015
  48. "tts-1-hd": 15, // 1k characters -> $0.03
  49. "tts-1-hd-1106": 15, // 1k characters -> $0.03
  50. "davinci": 10,
  51. "curie": 10,
  52. "babbage": 10,
  53. "ada": 10,
  54. "text-embedding-3-small": 0.01,
  55. "text-embedding-3-large": 0.065,
  56. "text-embedding-ada-002": 0.05,
  57. "text-search-ada-doc-001": 10,
  58. "text-moderation-stable": 0.1,
  59. "text-moderation-latest": 0.1,
  60. "dall-e-2": 8,
  61. "dall-e-3": 16,
  62. "claude-instant-1": 0.4, // $0.8 / 1M tokens
  63. "claude-2.0": 4, // $8 / 1M tokens
  64. "claude-2.1": 4, // $8 / 1M tokens
  65. "claude-3-haiku-20240307": 0.125, // $0.25 / 1M tokens
  66. "claude-3-sonnet-20240229": 1.5, // $3 / 1M tokens
  67. "claude-3-opus-20240229": 7.5, // $15 / 1M tokens
  68. "ERNIE-Bot": 0.8572, // ¥0.012 / 1k tokens
  69. "ERNIE-Bot-turbo": 0.5715, // ¥0.008 / 1k tokens
  70. "ERNIE-Bot-4": 8.572, // ¥0.12 / 1k tokens
  71. "Embedding-V1": 0.1429, // ¥0.002 / 1k tokens
  72. "PaLM-2": 1,
  73. "gemini-pro": 1, // $0.00025 / 1k characters -> $0.001 / 1k tokens
  74. "gemini-pro-vision": 1, // $0.00025 / 1k characters -> $0.001 / 1k tokens
  75. "chatglm_turbo": 0.3572, // ¥0.005 / 1k tokens
  76. "chatglm_pro": 0.7143, // ¥0.01 / 1k tokens
  77. "chatglm_std": 0.3572, // ¥0.005 / 1k tokens
  78. "chatglm_lite": 0.1429, // ¥0.002 / 1k tokens
  79. "glm-4": 7.143, // ¥0.1 / 1k tokens
  80. "glm-4v": 7.143, // ¥0.1 / 1k tokens
  81. "glm-3-turbo": 0.3572,
  82. "qwen-turbo": 0.8572, // ¥0.012 / 1k tokens
  83. "qwen-plus": 10, // ¥0.14 / 1k tokens
  84. "text-embedding-v1": 0.05, // ¥0.0007 / 1k tokens
  85. "SparkDesk-v1.1": 1.2858, // ¥0.018 / 1k tokens
  86. "SparkDesk-v2.1": 1.2858, // ¥0.018 / 1k tokens
  87. "SparkDesk-v3.1": 1.2858, // ¥0.018 / 1k tokens
  88. "SparkDesk-v3.5": 1.2858, // ¥0.018 / 1k tokens
  89. "360GPT_S2_V9": 0.8572, // ¥0.012 / 1k tokens
  90. "embedding-bert-512-v1": 0.0715, // ¥0.001 / 1k tokens
  91. "embedding_s1_v1": 0.0715, // ¥0.001 / 1k tokens
  92. "semantic_similarity_s1_v1": 0.0715, // ¥0.001 / 1k tokens
  93. "hunyuan": 7.143, // ¥0.1 / 1k tokens // https://cloud.tencent.com/document/product/1729/97731#e0e6be58-60c8-469f-bdeb-6c264ce3b4d0
  94. // https://platform.lingyiwanwu.com/docs#-计费单元
  95. // 已经按照 7.2 来换算美元价格
  96. "yi-34b-chat-0205": 0.018,
  97. "yi-34b-chat-200k": 0.0864,
  98. "yi-vl-plus": 0.0432,
  99. }
  100. var DefaultModelPrice = map[string]float64{
  101. "gpt-4-gizmo-*": 0.1,
  102. "mj_imagine": 0.1,
  103. "mj_variation": 0.1,
  104. "mj_reroll": 0.1,
  105. "mj_blend": 0.1,
  106. "mj_modal": 0.1,
  107. "mj_zoom": 0.1,
  108. "mj_shorten": 0.1,
  109. "mj_high_variation": 0.1,
  110. "mj_low_variation": 0.1,
  111. "mj_pan": 0.1,
  112. "mj_inpaint": 0,
  113. "mj_custom_zoom": 0,
  114. "mj_describe": 0.05,
  115. "mj_upscale": 0.05,
  116. "swap_face": 0.05,
  117. }
  118. var ModelPrice = map[string]float64{}
  119. var ModelRatio = map[string]float64{}
  120. func ModelPrice2JSONString() string {
  121. if len(ModelPrice) == 0 {
  122. ModelPrice = DefaultModelPrice
  123. }
  124. jsonBytes, err := json.Marshal(ModelPrice)
  125. if err != nil {
  126. SysError("error marshalling model price: " + err.Error())
  127. }
  128. return string(jsonBytes)
  129. }
  130. func UpdateModelPriceByJSONString(jsonStr string) error {
  131. ModelPrice = make(map[string]float64)
  132. return json.Unmarshal([]byte(jsonStr), &ModelPrice)
  133. }
  134. func GetModelPrice(name string, printErr bool) float64 {
  135. if len(ModelPrice) == 0 {
  136. ModelPrice = DefaultModelPrice
  137. }
  138. if strings.HasPrefix(name, "gpt-4-gizmo") {
  139. name = "gpt-4-gizmo-*"
  140. }
  141. price, ok := ModelPrice[name]
  142. if !ok {
  143. if printErr {
  144. SysError("model price not found: " + name)
  145. }
  146. return -1
  147. }
  148. return price
  149. }
  150. func ModelRatio2JSONString() string {
  151. if len(ModelRatio) == 0 {
  152. ModelRatio = DefaultModelRatio
  153. }
  154. jsonBytes, err := json.Marshal(ModelRatio)
  155. if err != nil {
  156. SysError("error marshalling model ratio: " + err.Error())
  157. }
  158. return string(jsonBytes)
  159. }
  160. func UpdateModelRatioByJSONString(jsonStr string) error {
  161. ModelRatio = make(map[string]float64)
  162. return json.Unmarshal([]byte(jsonStr), &ModelRatio)
  163. }
  164. func GetModelRatio(name string) float64 {
  165. if len(ModelRatio) == 0 {
  166. ModelRatio = DefaultModelRatio
  167. }
  168. if strings.HasPrefix(name, "gpt-4-gizmo") {
  169. name = "gpt-4-gizmo-*"
  170. }
  171. ratio, ok := ModelRatio[name]
  172. if !ok {
  173. SysError("model ratio not found: " + name)
  174. return 30
  175. }
  176. return ratio
  177. }
  178. func GetCompletionRatio(name string) float64 {
  179. if strings.HasPrefix(name, "gpt-3.5") {
  180. if strings.HasSuffix(name, "0125") {
  181. return 3
  182. }
  183. if strings.HasSuffix(name, "1106") {
  184. return 2
  185. }
  186. if name == "gpt-3.5-turbo" || name == "gpt-3.5-turbo-16k" {
  187. // TODO: clear this after 2023-12-11
  188. now := time.Now()
  189. // https://platform.openai.com/docs/models/continuous-model-upgrades
  190. // if after 2023-12-11, use 2
  191. if now.After(time.Date(2023, 12, 11, 0, 0, 0, 0, time.UTC)) {
  192. return 2
  193. }
  194. }
  195. return 1.333333
  196. }
  197. if strings.HasPrefix(name, "gpt-4") {
  198. if strings.HasSuffix(name, "preview") {
  199. return 3
  200. }
  201. return 2
  202. }
  203. if strings.HasPrefix(name, "claude-instant-1") {
  204. return 3
  205. } else if strings.HasPrefix(name, "claude-2") {
  206. return 3
  207. } else if strings.HasPrefix(name, "claude-3") {
  208. return 5
  209. }
  210. return 1
  211. }