crawl.json 377 KB

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  1. {
  2. "version": 50,
  3. "models": [
  4. {
  5. "url": "https://bailian.console.aliyun.com/cn-beijing?spm=5176.29619931.J_XNqYbJaEnpB5_cCJf7e6D.1.770b10d7fVCktz&tab=model#/model-market/detail/cosyvoice-clone-v1?serviceSite=asia-pacific-china",
  6. "model_name": "cosyvoice-clone-v1",
  7. "prices": {
  8. "语音合成": {
  9. "raw": "2.0",
  10. "unit": "元/每万字符",
  11. "price": 2.0,
  12. "currency": "CNY"
  13. }
  14. },
  15. "model_info": {
  16. "features": {
  17. "cache存储": false,
  18. "前缀续写": false,
  19. "批量推理": false,
  20. "模型体验": false,
  21. "模型调优": false,
  22. "联网搜索": false,
  23. "结构化输出": false,
  24. "function calling": false
  25. },
  26. "model_code": "cosyvoice-clone-v1",
  27. "description": "声音复刻Cosyvoice大模型,依托先进的大模型技术进行特征提取,从而完成声音的复刻,且无需训练过程。仅需提供时长较短的音频,即可迅速生成高度相似且听感自然的定制声音。",
  28. "display_tags": [
  29. "语音合成"
  30. ],
  31. "input_modalities": [
  32. "Text"
  33. ],
  34. "output_modalities": [
  35. "Audio"
  36. ]
  37. },
  38. "rate_limits": {},
  39. "tool_prices": [],
  40. "icon": "https://img.alicdn.com/imgextra/i3/O1CN01Kmx9dR1wcHOaMMXAk_!!6000000006328-55-tps-28-28.svg",
  41. "scraped_at": "2026-04-28T03:58:49.632392Z",
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  9098. ]
  9099. },
  9100. {
  9101. "model_name": "qwen-mt-lite",
  9102. "type": [
  9103. "文本生成"
  9104. ]
  9105. },
  9106. {
  9107. "model_name": "qwen-mt-plus",
  9108. "type": [
  9109. "文本生成"
  9110. ]
  9111. },
  9112. {
  9113. "model_name": "qwen-mt-turbo",
  9114. "type": [
  9115. "文本生成"
  9116. ]
  9117. },
  9118. {
  9119. "model_name": "qwen-plus-latest",
  9120. "type": [
  9121. "文本生成"
  9122. ]
  9123. },
  9124. {
  9125. "model_name": "qwen-plus",
  9126. "type": [
  9127. "文本生成"
  9128. ]
  9129. },
  9130. {
  9131. "model_name": "qwen-vl-max",
  9132. "type": []
  9133. },
  9134. {
  9135. "model_name": "qwen-vl-ocr-latest",
  9136. "type": []
  9137. },
  9138. {
  9139. "model_name": "qwen-vl-ocr",
  9140. "type": []
  9141. },
  9142. {
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  9146. ]
  9147. },
  9148. {
  9149. "model_name": "text-embedding-v3",
  9150. "type": [
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  9152. ]
  9153. },
  9154. {
  9155. "model_name": "text-embedding-v4",
  9156. "type": [
  9157. "向量模型"
  9158. ]
  9159. },
  9160. {
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  9162. "type": [
  9163. "多模态向量"
  9164. ]
  9165. },
  9166. {
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  9168. "type": [
  9169. "视频生成"
  9170. ]
  9171. },
  9172. {
  9173. "model_name": "wan2.5-i2i-preview",
  9174. "type": [
  9175. "图像生成"
  9176. ]
  9177. },
  9178. {
  9179. "model_name": "wan2.5-i2v-preview",
  9180. "type": [
  9181. "视频生成"
  9182. ]
  9183. },
  9184. {
  9185. "model_name": "wan2.5-t2i-preview",
  9186. "type": [
  9187. "图像生成"
  9188. ]
  9189. },
  9190. {
  9191. "model_name": "wan2.5-t2v-preview",
  9192. "type": [
  9193. "视频生成"
  9194. ]
  9195. },
  9196. {
  9197. "model_name": "wan2.6-i2v",
  9198. "type": [
  9199. "视频生成"
  9200. ]
  9201. },
  9202. {
  9203. "model_name": "wan2.6-image",
  9204. "type": [
  9205. "图像生成"
  9206. ]
  9207. },
  9208. {
  9209. "model_name": "wan2.6-r2v",
  9210. "type": [
  9211. "视频生成"
  9212. ]
  9213. },
  9214. {
  9215. "model_name": "wan2.6-t2i",
  9216. "type": [
  9217. "图像生成"
  9218. ]
  9219. },
  9220. {
  9221. "model_name": "wan2.6-t2v",
  9222. "type": [
  9223. "视频生成"
  9224. ]
  9225. }
  9226. ]
  9227. }