model-ratio.go 7.9 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 DefaultModelRatio = map[string]float64{
  14. //"midjourney": 50,
  15. "gpt-4-gizmo-*": 15,
  16. "gpt-4": 15,
  17. "gpt-4-0314": 15,
  18. "gpt-4-0613": 15,
  19. "gpt-4-32k": 30,
  20. "gpt-4-32k-0314": 30,
  21. "gpt-4-32k-0613": 30,
  22. "gpt-4-1106-preview": 5, // $0.01 / 1K tokens
  23. "gpt-4-0125-preview": 5, // $0.01 / 1K tokens
  24. "gpt-4-turbo-preview": 5, // $0.01 / 1K tokens
  25. "gpt-4-vision-preview": 5, // $0.01 / 1K tokens
  26. "gpt-4-1106-vision-preview": 5, // $0.01 / 1K tokens
  27. "gpt-4-turbo": 5, // $0.01 / 1K tokens
  28. "gpt-3.5-turbo": 0.25, // $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. "gemini-1.0-pro-vision-001": 1,
  76. "gemini-1.0-pro-001": 1,
  77. "gemini-1.5-pro-latest": 1,
  78. "gemini-1.0-pro-latest": 1,
  79. "gemini-1.0-pro-vision-latest": 1,
  80. "gemini-ultra": 1,
  81. "chatglm_turbo": 0.3572, // ¥0.005 / 1k tokens
  82. "chatglm_pro": 0.7143, // ¥0.01 / 1k tokens
  83. "chatglm_std": 0.3572, // ¥0.005 / 1k tokens
  84. "chatglm_lite": 0.1429, // ¥0.002 / 1k tokens
  85. "glm-4": 7.143, // ¥0.1 / 1k tokens
  86. "glm-4v": 7.143, // ¥0.1 / 1k tokens
  87. "glm-3-turbo": 0.3572,
  88. "qwen-turbo": 0.8572, // ¥0.012 / 1k tokens
  89. "qwen-plus": 10, // ¥0.14 / 1k tokens
  90. "text-embedding-v1": 0.05, // ¥0.0007 / 1k tokens
  91. "SparkDesk-v1.1": 1.2858, // ¥0.018 / 1k tokens
  92. "SparkDesk-v2.1": 1.2858, // ¥0.018 / 1k tokens
  93. "SparkDesk-v3.1": 1.2858, // ¥0.018 / 1k tokens
  94. "SparkDesk-v3.5": 1.2858, // ¥0.018 / 1k tokens
  95. "360GPT_S2_V9": 0.8572, // ¥0.012 / 1k tokens
  96. "embedding-bert-512-v1": 0.0715, // ¥0.001 / 1k tokens
  97. "embedding_s1_v1": 0.0715, // ¥0.001 / 1k tokens
  98. "semantic_similarity_s1_v1": 0.0715, // ¥0.001 / 1k tokens
  99. "hunyuan": 7.143, // ¥0.1 / 1k tokens // https://cloud.tencent.com/document/product/1729/97731#e0e6be58-60c8-469f-bdeb-6c264ce3b4d0
  100. // https://platform.lingyiwanwu.com/docs#-计费单元
  101. // 已经按照 7.2 来换算美元价格
  102. "yi-34b-chat-0205": 0.018,
  103. "yi-34b-chat-200k": 0.0864,
  104. "yi-vl-plus": 0.0432,
  105. }
  106. var DefaultModelPrice = map[string]float64{
  107. "gpt-4-gizmo-*": 0.1,
  108. "mj_imagine": 0.1,
  109. "mj_variation": 0.1,
  110. "mj_reroll": 0.1,
  111. "mj_blend": 0.1,
  112. "mj_modal": 0.1,
  113. "mj_zoom": 0.1,
  114. "mj_shorten": 0.1,
  115. "mj_high_variation": 0.1,
  116. "mj_low_variation": 0.1,
  117. "mj_pan": 0.1,
  118. "mj_inpaint": 0,
  119. "mj_custom_zoom": 0,
  120. "mj_describe": 0.05,
  121. "mj_upscale": 0.05,
  122. "swap_face": 0.05,
  123. }
  124. var modelPrice map[string]float64 = nil
  125. var modelRatio map[string]float64 = nil
  126. func ModelPrice2JSONString() string {
  127. if modelPrice == nil {
  128. modelPrice = DefaultModelPrice
  129. }
  130. jsonBytes, err := json.Marshal(modelPrice)
  131. if err != nil {
  132. SysError("error marshalling model price: " + err.Error())
  133. }
  134. return string(jsonBytes)
  135. }
  136. func UpdateModelPriceByJSONString(jsonStr string) error {
  137. modelPrice = make(map[string]float64)
  138. return json.Unmarshal([]byte(jsonStr), &modelPrice)
  139. }
  140. func GetModelPrice(name string, printErr bool) float64 {
  141. if modelPrice == nil {
  142. modelPrice = DefaultModelPrice
  143. }
  144. if strings.HasPrefix(name, "gpt-4-gizmo") {
  145. name = "gpt-4-gizmo-*"
  146. }
  147. price, ok := modelPrice[name]
  148. if !ok {
  149. if printErr {
  150. SysError("model price not found: " + name)
  151. }
  152. return -1
  153. }
  154. return price
  155. }
  156. func ModelRatio2JSONString() string {
  157. if modelRatio == nil {
  158. modelRatio = DefaultModelRatio
  159. }
  160. jsonBytes, err := json.Marshal(modelRatio)
  161. if err != nil {
  162. SysError("error marshalling model ratio: " + err.Error())
  163. }
  164. return string(jsonBytes)
  165. }
  166. func UpdateModelRatioByJSONString(jsonStr string) error {
  167. modelRatio = make(map[string]float64)
  168. return json.Unmarshal([]byte(jsonStr), &modelRatio)
  169. }
  170. func GetModelRatio(name string) float64 {
  171. if modelRatio == nil {
  172. modelRatio = DefaultModelRatio
  173. }
  174. if strings.HasPrefix(name, "gpt-4-gizmo") {
  175. name = "gpt-4-gizmo-*"
  176. }
  177. ratio, ok := modelRatio[name]
  178. if !ok {
  179. SysError("model ratio not found: " + name)
  180. return 30
  181. }
  182. return ratio
  183. }
  184. func GetCompletionRatio(name string) float64 {
  185. if strings.HasPrefix(name, "gpt-3.5") {
  186. if name == "gpt-3.5-turbo" || strings.HasSuffix(name, "0125") {
  187. // https://openai.com/blog/new-embedding-models-and-api-updates
  188. // Updated GPT-3.5 Turbo model and lower pricing
  189. return 3
  190. }
  191. if strings.HasSuffix(name, "1106") {
  192. return 2
  193. }
  194. return 4.0 / 3.0
  195. }
  196. if strings.HasPrefix(name, "gpt-4") {
  197. if strings.HasPrefix(name, "gpt-4-turbo") || strings.HasSuffix(name, "preview") {
  198. return 3
  199. }
  200. return 2
  201. }
  202. if strings.Contains(name, "claude-instant-1") {
  203. return 3
  204. } else if strings.Contains(name, "claude-2") {
  205. return 3
  206. } else if strings.Contains(name, "claude-3") {
  207. return 5
  208. }
  209. if strings.HasPrefix(name, "mistral-") {
  210. return 3
  211. }
  212. if strings.HasPrefix(name, "gemini-") {
  213. return 3
  214. }
  215. switch name {
  216. case "llama2-70b-4096":
  217. return 0.8 / 0.7
  218. }
  219. return 1
  220. }