@@ -20,6 +20,7 @@
 {"slug":"kimi-models-market-place","name":"Kimi","description":"由月之暗面提供的Kimi系列模型的API服务。","primaryCapability":"TG","capabilities":["TG","Reasoning","VU"],"providers":["moonshot-ai"],"itemCount":7,"items":[{"model":"kimi/kimi-k2.6","name":"Kimi/Kimi K2.6","contextWindow":262144,"capabilities":["TG","Reasoning","VU"]},{"model":"kimi/kimi-k2.7-code","name":"kimi/kimi-k2.7-code","contextWindow":262144,"capabilities":["TG","VU","Reasoning"]},{"model":"kimi/kimi-k2.7-code-highspeed","name":"kimi/kimi-k2.7-code-highspeed","contextWindow":262144,"capabilities":["TG","Reasoning","VU"]},{"model":"kimi/kimi-k2.8-preview","name":"kimi/kimi-k2.8-preview","contextWindow":1048576,"capabilities":["TG","VU","Reasoning"]},{"model":"kimi/kimi-k3","name":"kimi/kimi-k3","contextWindow":1000000,"capabilities":["TG","VU","Reasoning"]},{"model":"kimi/kimi-k3.1-pro","name":"kimi/kimi-k3.1-pro","contextWindow":1048576,"capabilities":["TG","Reasoning","VU"]},{"model":"kimi/kimi-k3.1-pro-highspeed","name":"kimi/kimi-k3.1-pro-highspeed","contextWindow":1048576,"capabilities":["TG","Reasoning","VU"]}],"detailPath":"groups/kimi-models-market-place.json","maxContextWindow":1048576}
 {"slug":"kling-models-market-place","name":"可灵AI","description":"由可灵AI提供的高质量视频与图像生成及编辑模型。","primaryCapability":"VG","capabilities":["VG","IG"],"providers":["kling"],"itemCount":5,"items":[{"model":"kling/kling-v3-image-generation","name":"Kling Image 3.0","capabilities":["IG"]},{"model":"kling/kling-v3-omni-image-generation","name":"Kling Image 3.0 Omni","capabilities":["IG"]},{"model":"kling/kling-v3-omni-video-generation","name":"Kling Video 3.0 Omni","capabilities":["VG"]},{"model":"kling/kling-v3-turbo-video-generation","name":"Kling Video 3.0 Turbo","capabilities":["VG"]},{"model":"kling/kling-v3-video-generation","name":"Kling Video 3.0","capabilities":["VG"]}],"detailPath":"groups/kling-models-market-place.json"}
 {"slug":"minimax-models-market-place","name":"MiniMax文本模型","description":"由MiniMax提供的MiniMax-M系列文本模型API服务。","primaryCapability":"TG","capabilities":["TG","VU","Reasoning"],"providers":["mini-max"],"itemCount":5,"items":[{"model":"MiniMax/MiniMax-M2.1","name":"MiniMax/MiniMax-M2.1","contextWindow":204800,"capabilities":["TG","Reasoning"]},{"model":"MiniMax/MiniMax-M2.5","name":"MiniMax/MiniMax-M2.5","contextWindow":204800,"capabilities":["TG","Reasoning"]},{"model":"MiniMax/MiniMax-M2.7","name":"MiniMax/MiniMax-M2.7","contextWindow":204800,"capabilities":["TG","Reasoning"]},{"model":"MiniMax/MiniMax-M3","name":"MiniMax/MiniMax-M3","contextWindow":1000000,"capabilities":["TG","Reasoning","VU"]},{"model":"MiniMax/MiniMax-M3.1-Flash","name":"MiniMax/MiniMax-M3.1-Flash","contextWindow":1048576,"capabilities":["TG","VU","Reasoning"]}],"detailPath":"groups/minimax-models-market-place.json","maxContextWindow":1048576}
+{"slug":"paraformer-8k-v2","name":"Paraformer语音识别-8k-v2","description":"Paraformer最新中文语音识别模型，模型结构升级，具有更好的识别效果,支持8kHz电话语音识别，仅支持中文热词。","primaryCapability":"ASR","capabilities":["ASR"],"providers":["qwen"],"itemCount":1,"items":[{"model":"paraformer-8k-v2","name":"Paraformer语音识别-8k-v2","capabilities":["ASR"]}],"detailPath":"groups/paraformer-8k-v2.json"}
 {"slug":"paraformer-realtime-8k-v2","name":"Paraformer实时语音识别-8k-v2","description":"推荐使用 Paraformer最新实时语音识别模型，支持多个语种自由切换的视频直播、会议等实时场景的语音识别。可以通过language_hints参数选择语种获得更准确的识别效果。支持8kHz电话客服等场景下的实时语音识别。\n支持的语言包括：中文（含粤语等各种方言）、英文、日语、韩语。","primaryCapability":"Realtime-ASR","capabilities":["Realtime-ASR"],"providers":["qwen"],"itemCount":1,"items":[{"model":"paraformer-realtime-8k-v2","name":"Paraformer实时语音识别-8k-v2","capabilities":["Realtime-ASR"]}],"detailPath":"groups/paraformer-realtime-8k-v2.json"}
 {"slug":"paraformer-realtime-v2","name":"Paraformer实时语音识别-v2","description":"推荐使用 Paraformer最新实时语音识别模型，支持多个语种自由切换的视频直播、会议等实时场景的语音识别。可以通过language_hints参数选择语种获得更准确的识别效果。支持任意采样率。 支持的语言包括：中文（含粤语等各种方言）、英文、日语、韩语。 可支持热词。","primaryCapability":"Realtime-ASR","capabilities":["Realtime-ASR"],"providers":["qwen"],"itemCount":1,"items":[{"model":"paraformer-realtime-v2","name":"Paraformer实时语音识别-v2","capabilities":["Realtime-ASR"]}],"detailPath":"groups/paraformer-realtime-v2.json"}
 {"slug":"paraformer-v2","name":"Paraformer语音识别-v2","description":"推荐使用 Paraformer最新语音识别模型，支持多个语种的语音识别。可以通过language_hints参数选择语种获得更准确的识别效果，支持任意采样率。 支持的语言包括：中文（含粤语等各种方言）、英文、日语、韩语。可支持热词。","primaryCapability":"ASR","capabilities":["ASR"],"providers":["qwen"],"itemCount":1,"items":[{"model":"paraformer-v2","name":"Paraformer语音识别-v2","capabilities":["ASR"]}],"detailPath":"groups/paraformer-v2.json"}
@@ -57,7 +58,6 @@
 {"slug":"qwen-rerank","name":"Qwen-Rerank","description":"基于Qwen LLM底座训练的文本排序模型，对输入的Query和候选Docs进行相关性排序，支持100+语种和长文本输入，适用于文本检索、RAG等场景，效果对齐Qwen家族开源Rerank系列模型。","primaryCapability":"TR","capabilities":["TR"],"providers":["qwen-domain-model","qwen"],"itemCount":4,"items":[{"model":"gte-rerank-v2","name":"深度文本重排序","contextWindow":30000,"capabilities":["TR"]},{"model":"qwen3-rerank","name":"千问3-Rerank","contextWindow":30000,"capabilities":["TR"]},{"model":"qwen3-vl-rerank","name":"Qwen3-VL-Rerank","capabilities":["TR"]},{"model":"qwen3.7-text-rerank","name":"千问3.7-通用文本重排序","contextWindow":32768,"capabilities":["TR"]}],"detailPath":"groups/qwen-rerank.json","maxContextWindow":32768}
 {"slug":"qwen-vl-embedding","name":"Qwen-VL-Embedding","description":"基于Qwen-VL底座训练的统一多模态向量模型，支持文本、图片、视频单模态/混合模态输入，输出统一表征向量，适用于跨模态检索、图搜、视频检索、图像聚类、复杂多模态信息检索、打标等场景。","primaryCapability":"ME","capabilities":["ME"],"providers":["qwen"],"itemCount":2,"items":[{"model":"qwen2.5-vl-embedding","name":"Qwen2.5-VL-Embedding","capabilities":["ME"]},{"model":"qwen3-vl-embedding","name":"Qwen3-VL-Embedding","capabilities":["ME"]}],"detailPath":"groups/qwen-vl-embedding.json"}
 {"slug":"qwen-vl-ocr","name":"Qwen-VL-OCR","description":"Qwen-VL-OCR，即基于Qwen-VL训练的OCR识别大模型。通过统一模型的方式聚合多种图文识别、解析、处理类任务，提供强大的图文识别能力。","primaryCapability":"VU","capabilities":["VU"],"providers":["qwen-domain-model"],"itemCount":1,"items":[{"model":"qwen-vl-ocr","name":"QwenVL-OCR","contextWindow":38192,"capabilities":["VU"]}],"detailPath":"groups/qwen-vl-ocr.json","maxContextWindow":38192}
-{"slug":"qwen-voice-enrollment","name":"Qwen-声音复刻","description":"千问voice-enrollment模型是千问语音模型的声音复刻系列模型，仅需5s以上的音频，即可迅速复刻高相似度声音。结合qwen3-tts-vc-realtime模型使用，可将一个人的声音高保真复刻，输出11个语种的语音。且合成音频可以根据文本自适应调节语气，对复杂文本合成也有较好的处理能力。","primaryCapability":"TTS","capabilities":["TTS"],"providers":["qwen"],"itemCount":1,"items":[{"model":"qwen-voice-enrollment","name":"Qwen-Voice-Enrollment","capabilities":["TTS"]}],"detailPath":"groups/qwen-voice-enrollment.json"}
 {"slug":"qwen3-asr-flash-filetrans","name":"Qwen3-ASR-Flash-Filetrans","description":"Qwen3-ASR-Flash的大文件转录版本，Qwen3-ASR-Flash是一款基于大语言模型的高精度、高智能、高鲁棒性的多语种语音识别模型。依托强大的基座模型、海量的文本与多模态数据、千万小时音频数据，Qwen3-ASR-Flash实现了高精度的语音识别功能，能够自动判断语种并准确识别多个语种的语音，在复杂的音频环境下能够保证精确转录。","primaryCapability":"ASR","capabilities":["ASR"],"providers":["qwen"],"itemCount":1,"items":[{"model":"qwen3-asr-flash-filetrans","name":"Qwen3-ASR-Flash-Filetrans","capabilities":["ASR"]}],"detailPath":"groups/qwen3-asr-flash-filetrans.json"}
 {"slug":"qwen3-asr-flash-realtime","name":"Qwen3-ASR-Flash-Realtime","description":"Qwen3-ASR-Flash的实时版，一款基于大语言模型的高精度、高智能、高鲁棒性的多语种语音识别模型。依托强大的基座模型、海量的文本与多模态数据、千万小时音频数据，Qwen3-ASR-Flash实现了高精度的语音识别功能，能够自动判断语种并准确识别多个语种的语音，在复杂的音频环境下能够保证精确转录。","primaryCapability":"Realtime-ASR","capabilities":["Realtime-ASR"],"providers":["qwen"],"itemCount":1,"items":[{"model":"qwen3-asr-flash-realtime","name":"Qwen3-ASR-Flash-Realtime","capabilities":["Realtime-ASR"]}],"detailPath":"groups/qwen3-asr-flash-realtime.json"}
 {"slug":"qwen3-asr-flash","name":"Qwen3-ASR-Flash","description":"Qwen3-ASR-Flash是一款基于大语言模型的高精度、高智能、高鲁棒性的多语种语音识别模型。依托强大的基座模型、海量的文本与多模态数据、千万小时音频数据，Qwen3-ASR-Flash实现了高精度的语音识别功能，能够自动判断语种并准确识别多个语种的语音，在复杂的音频环境下能够保证精确转录。","primaryCapability":"ASR","capabilities":["ASR"],"providers":["qwen-domain-model"],"itemCount":1,"items":[{"model":"qwen3-asr-flash","name":"Qwen3-ASR-Flash","capabilities":["ASR"]}],"detailPath":"groups/qwen3-asr-flash.json"}
 
@@ -0,0 +1,50 @@
+{
+  "name": "Paraformer语音识别-8k-v2",
+  "description": "Paraformer最新中文语音识别模型，模型结构升级，具有更好的识别效果,支持8kHz电话语音识别，仅支持中文热词。",
+  "items": [
+    {
+      "inferenceMetadata": {
+        "response_modality": [
+          "Text"
+        ],
+        "request_modality": [
+          "Audio"
+        ]
+      },
+      "description": "Paraformer最新中文语音识别模型，模型结构升级，具有更好的识别效果,支持8kHz电话语音识别，仅支持中文热词。",
+      "features": [],
+      "provider": "qwen",
+      "model": "paraformer-8k-v2",
+      "prices": [
+        {
+          "priceUnit": "每秒",
+          "price": "0.00008",
+          "timeBand": "standard",
+          "ntmAmountType": "duration",
+          "type": "content_duration",
+          "priceName": "音频时长"
+        }
+      ],
+      "priceTimeBands": [
+        "standard"
+      ],
+      "capabilities": [
+        "ASR"
+      ],
+      "versionTag": "MAJOR",
+      "latestOnlineAt": "2024-12-19T11:29:28.000+00:00",
+      "inferenceProvider": "aliyun-bailian",
+      "name": "Paraformer语音识别-8k-v2",
+      "docUrl": "https://docs.bailian.console.aliyun.com/zh/model-studio/paraformer-recorded-speech-recognition-api-reference",
+      "samples": {
+        "dashscope": {
+          "default": {
+            "python": "import dashscope\nfrom http import HTTPStatus\nfrom dashscope.audio.asr import Transcription\nimport json\n\ndashscope.base_http_api_url = \"https://[workspace-id].cn-beijing.maas.aliyuncs.com/api/v1\"\n\n# 若没有将API Key配置到环境变量中，需将下面这行代码注释放开，并将apiKey替换为自己的API Key\n# dashscope.api_key = \"apiKey\"\n\ntask_response = Transcription.async_call(\n    model='paraformer-8k-v2',\n    file_urls=['https://dashscope.oss-cn-beijing.aliyuncs.com/samples/audio/paraformer/hello_world_female2.wav',\n               'https://dashscope.oss-cn-beijing.aliyuncs.com/samples/audio/paraformer/hello_world_male2.wav']\n    # language_hints=['zh', 'en']  # “language_hints”只支持paraformer-v2模型\n)\n\ntranscribe_response = Transcription.wait(task=task_response.output.task_id)\nif transcribe_response.status_code == HTTPStatus.OK:\n    print(json.dumps(transcribe_response.output, indent=4, ensure_ascii=False))\n    print('transcription done!')",
+            "java": "import com.alibaba.dashscope.utils.Constants;\nimport com.alibaba.dashscope.audio.asr.transcription.*;\nimport com.google.gson.*;\n\nimport java.util.Arrays;\n\npublic class Main {\n    public static void main(String[] args) {\n        Constants.baseHttpApiUrl = \"https://[workspace-id].cn-beijing.maas.aliyuncs.com/api/v1\";\n        // 创建转写请求参数\n        TranscriptionParam param =\n                TranscriptionParam.builder()\n                        // 若没有将API Key配置到环境变量中，需将apiKey替换为自己的API Key\n                        //.apiKey(\"apikey\")\n                        .model(\"paraformer-8k-v2\")\n                        // “language_hints”只支持paraformer-v2模型\n                        // .parameter(\"language_hints\", new String[]{\"zh\", \"en\"})\n                        .fileUrls(\n                                Arrays.asList(\n                                        \"https://dashscope.oss-cn-beijing.aliyuncs.com/samples/audio/paraformer/hello_world_female2.wav\",\n                                        \"https://dashscope.oss-cn-beijing.aliyuncs.com/samples/audio/paraformer/hello_world_male2.wav\"))\n                        .build();\n        try {\n            Transcription transcription = new Transcription();\n            // 提交转写请求\n            TranscriptionResult result = transcription.asyncCall(param);\n            System.out.println(\"RequestId: \" + result.getRequestId());\n            // 阻塞等待任务完成并获取结果\n            result = transcription.wait(\n                    TranscriptionQueryParam.FromTranscriptionParam(param, result.getTaskId()));\n            // 打印结果\n            System.out.println(new GsonBuilder().setPrettyPrinting().create().toJson(result.getOutput()));\n        } catch (Exception e) {\n            System.out.println(\"error: \" + e);\n        }\n        System.exit(0);\n    }\n}",
+            "docUrl": "https://docs.bailian.console.aliyun.com/zh/model-studio/paraformer-recorded-speech-recognition-restful-api"
+          }
+        }
+      }
+    }
+  ]
+}