@@ -23,7 +23,7 @@
 {"slug":"fun-asr-realtime","name":"Fun-ASR实时语音识别","description":"通义实验室新一代端到端语音识别大模型的实时版，基于领先的自研语音技术，具备卓越的上下文感知和高精度语音转写能力。基于端到端架构，Fun-ASR 集成了创新的 RAG 技术，支持大规模热词自定义、敏感/语气词自动过滤、ITN 规范化、标点预测等多维功能，显著提升了整体识别准确率和语境贴合度。同时，Fun-ASR 支持中英文自由切换，多地区方言覆盖，具备更强的噪声鲁棒性，适应多样复杂环境。","primaryCapability":"Realtime-ASR","capabilities":["Realtime-ASR"],"providers":["qwen-domain-model"],"itemCount":2,"items":[{"model":"fun-asr-flash-8k-realtime","name":"Fun-ASR-Flash-8k实时语音识别","capabilities":["Realtime-ASR"]},{"model":"fun-asr-realtime","name":"Fun-ASR实时语音识别","capabilities":["Realtime-ASR"]}],"detailPath":"groups/fun-asr-realtime.json"}
 {"slug":"fun-asr","name":"Fun-ASR语音识别","description":"通义百聆新一代语音识别大模型，主打中文、英文、日文语音识别，多地区方言覆盖，具备更强的噪声鲁棒性，适应多样复杂环境，国内用户首推。","primaryCapability":"ASR","capabilities":["ASR"],"providers":["qwen-domain-model"],"itemCount":2,"items":[{"model":"fun-asr","name":"Fun-ASR语音识别","capabilities":["ASR"]},{"model":"fun-asr-mtl","name":"Fun-ASR-MTL","capabilities":["ASR"]}],"detailPath":"groups/fun-asr.json"}
 {"slug":"fun-music","name":"音乐生成","description":"百聆音乐生成大模型（Fun音乐大模型）支持输入开放性歌曲的创作要求或歌词，生成整首男/女声演唱的中文或英文歌曲。歌曲通俗易懂，情绪由浅入深，是人类灵感与大模型能力的完美结合。","primaryCapability":"TTS","capabilities":["TTS"],"providers":["qwen"],"itemCount":2,"items":[{"model":"fun-music-preview","name":"音乐生成 Preview","capabilities":["TTS"]},{"model":"fun-music-v1","name":"音乐生成","capabilities":["TTS"]}],"detailPath":"groups/fun-music.json"}
-{"slug":"glm-4.5","name":"GLM","description":"GLM是由智谱提供的开源模型。","primaryCapability":"TG","capabilities":["TG","Reasoning"],"providers":["zhipu-ai"],"itemCount":7,"items":[{"model":"glm-4.5","name":"GLM-4.5","contextWindow":131072,"capabilities":["TG"]},{"model":"glm-4.5-air","name":"GLM-4.5-Air","contextWindow":131072,"capabilities":["TG"]},{"model":"glm-4.6","name":"GLM-4.6","contextWindow":202752,"capabilities":["Reasoning","TG"]},{"model":"glm-4.7","name":"GLM-4.7","contextWindow":202752,"capabilities":["TG","Reasoning"]},{"model":"glm-5","name":"GLM-5","contextWindow":202752,"capabilities":["TG","Reasoning"]},{"model":"glm-5.1","name":"GLM-5.1","contextWindow":202745,"capabilities":["TG","Reasoning"]},{"model":"glm-5.2","name":"GLM-5.2","contextWindow":1000000,"capabilities":["TG","Reasoning"]}],"detailPath":"groups/glm-4.5.json","maxContextWindow":1000000}
+{"slug":"glm-4.5","name":"GLM","description":"GLM是由智谱提供的开源模型。","primaryCapability":"TG","capabilities":["TG","Reasoning"],"providers":["zhipu-ai"],"itemCount":8,"items":[{"model":"glm-4.5","name":"GLM-4.5","contextWindow":131072,"capabilities":["TG"]},{"model":"glm-4.5-air","name":"GLM-4.5-Air","contextWindow":131072,"capabilities":["TG"]},{"model":"glm-4.6","name":"GLM-4.6","contextWindow":202752,"capabilities":["Reasoning","TG"]},{"model":"glm-4.7","name":"GLM-4.7","contextWindow":202752,"capabilities":["TG","Reasoning"]},{"model":"glm-5","name":"GLM-5","contextWindow":202752,"capabilities":["TG","Reasoning"]},{"model":"glm-5.1","name":"GLM-5.1","contextWindow":202745,"capabilities":["TG","Reasoning"]},{"model":"glm-5.2","name":"GLM-5.2","contextWindow":1000000,"capabilities":["TG","Reasoning"]},{"model":"glm-5.3","name":"GLM-5.3","contextWindow":1000000,"capabilities":["TG","Reasoning"]}],"detailPath":"groups/glm-4.5.json","maxContextWindow":1000000}
 {"slug":"glm-fast","name":"GLM-5.2-Fast","description":"GLM-5.2-Fast-Preview 是智谱 AI 旗舰模型 GLM-5.2 的高速版本，支持 1M 超长上下文，模型能力对齐 GLM-5.2 标准版，具备逻辑推理、长文本理解与代码生成能力。通过推理加速优化，输出 TPS 可达 GLM-5.2 标准版的 1.5～2 倍，显著提升输出速度，适用于实时对话、Agent 多轮调用、流式代码生成等对输出速度敏感的场景。","primaryCapability":"TG","capabilities":["TG"],"providers":["zhipu-ai"],"itemCount":1,"items":[{"model":"glm-5.2-fast-preview","name":"GLM-5.2-Fast-Preview","contextWindow":1000000,"capabilities":["TG"]}],"detailPath":"groups/glm-fast.json","maxContextWindow":1000000}
 {"slug":"gui-plus","name":"GUI-Plus","description":"GUI系列图形界面交互基础模型，针对手机端与电脑端图形界面理解与交互任务，性能优于开源版同类GUI模型。全面升级跨平台界面理解与多步任务规划，支持跨应用复杂任务；具备精细化动作执行与多角色多智能体协作能力，胜任真实复杂交互场景。","primaryCapability":"VU","capabilities":["VU"],"providers":["qwen-domain-model"],"itemCount":1,"items":[{"model":"gui-plus","name":"GUI-Plus","contextWindow":256000,"capabilities":["VU"]}],"detailPath":"groups/gui-plus.json","maxContextWindow":256000}
 {"slug":"gummy-chat-v1","name":"一句话识别及翻译V1.0","description":"多语言语音转写及翻译的多模态大模型。本模型支持60秒以内的实时语音识别，适用于语音搜索、设备指令等场景。提供10个混合语种的高准确率识别服务，同时支持中英日韩互译，以其他6个语种翻译成中文或英文。","primaryCapability":"ASR","capabilities":["ASR"],"providers":["qwen"],"itemCount":1,"items":[{"model":"gummy-chat-v1","name":"一句话识别及翻译V1.0","capabilities":["ASR"]}],"detailPath":"groups/gummy-chat-v1.json"}
 
@@ -140,18 +140,14 @@
       ],
       "qpmInfo": {
         "model-default-actual": {
-          "count_limit_period": 6,
           "usage_limit": 120000,
           "usage_limit_field": "total_tokens",
-          "count_limit": 1500,
           "usage_limit_period": 6,
           "type": "model-default"
         },
         "model-default": {
-          "count_limit_period": 6,
           "usage_limit": 120000,
           "usage_limit_field": "total_tokens",
-          "count_limit": 1500,
           "usage_limit_period": 6,
           "type": "model-default"
         }
@@ -1246,16 +1242,16 @@
       "samples": {
         "openai": {
           "completionsAPI": {
-            "python": "import os\nfrom openai import OpenAI\n\nclient = OpenAI(\n    # 若没有配置环境变量，请用百炼API Key将下行替换为：api_key=\"sk-xxx\",\n    api_key=os.getenv(\"DASHSCOPE_API_KEY\"),\n    base_url=\"https://[workspace-id].cn-beijing.maas.aliyuncs.com/compatible-mode/v1\",\n)\ncompletion = client.chat.completions.create(\n    model=\"deepseek-v3\",\n    messages=[\n        {\"role\": \"system\", \"content\": \"You are a helpful assistant.\"},\n        {\"role\": \"user\", \"content\": \"你是谁？\"},\n    ],\n    stream=True\n)\nfor chunk in completion:\n    print(chunk.choices[0].delta.content, end=\"\", flush=True)",
             "curl": "curl -X POST https://[workspace-id].cn-beijing.maas.aliyuncs.com/compatible-mode/v1/chat/completions \\\n-H \"Authorization: Bearer $DASHSCOPE_API_KEY\" \\\n-H \"Content-Type: application/json\" \\\n-d '{\n    \"model\": \"deepseek-v3\",\n    \"messages\": [\n        {\n            \"role\": \"system\",\n            \"content\": \"You are a helpful assistant.\"\n        },\n        {\n            \"role\": \"user\", \n            \"content\": \"你是谁？\"\n        }\n    ],\n    \"stream\":true\n}'",
+            "python": "import os\nfrom openai import OpenAI\n\nclient = OpenAI(\n    # 若没有配置环境变量，请用百炼API Key将下行替换为：api_key=\"sk-xxx\",\n    api_key=os.getenv(\"DASHSCOPE_API_KEY\"),\n    base_url=\"https://[workspace-id].cn-beijing.maas.aliyuncs.com/compatible-mode/v1\",\n)\ncompletion = client.chat.completions.create(\n    model=\"deepseek-v3\",\n    messages=[\n        {\"role\": \"system\", \"content\": \"You are a helpful assistant.\"},\n        {\"role\": \"user\", \"content\": \"你是谁？\"},\n    ],\n    stream=True\n)\nfor chunk in completion:\n    print(chunk.choices[0].delta.content, end=\"\", flush=True)",
             "nodejs": "import OpenAI from \"openai\";\nconst openai = new OpenAI(\n    {\n        // 若没有配置环境变量，请用百炼API Key将下行替换为：apiKey: \"sk-xxx\",\n        apiKey: process.env.DASHSCOPE_API_KEY,\n        baseURL: \"https://[workspace-id].cn-beijing.maas.aliyuncs.com/compatible-mode/v1\"\n    }\n);\nconst completion = await openai.chat.completions.create({\n    model: \"deepseek-v3\",\n    messages: [\n        { role: \"system\", content: \"You are a helpful assistant.\" },\n        { role: \"user\", content: \"你是谁？\" }\n    ],\n    stream: true\n});\nfor await (const chunk of completion) {\n    process.stdout.write(chunk.choices[0].delta.content);\n}",
             "docUrl": "https://docs.bailian.console.aliyun.com/zh/model-studio/qwen-api-via-openai-chat-completions"
           }
         },
         "dashscope": {
           "completionsAPI": {
-            "python": "import os\nfrom dashscope import Generation\nimport dashscope\n\ndashscope.base_http_api_url = 'https://[workspace-id].cn-beijing.maas.aliyuncs.com/api/v1'\n\nmessages = [\n    {\"role\": \"system\", \"content\": \"You are a helpful assistant.\"},\n    {\"role\": \"user\", \"content\": \"你是谁？\"},\n]\nresponse = Generation.call(\n    # 若没有配置环境变量，请用百炼API Key将下行替换为：api_key = \"sk-xxx\",\n    api_key=os.getenv(\"DASHSCOPE_API_KEY\"),\n    model=\"deepseek-v3\",\n    messages=messages,\n    result_format=\"message\",\n)\n\nprint(response.output.choices[0].message.content)",
             "curl": "curl --location \"https://[workspace-id].cn-beijing.maas.aliyuncs.com/api/v1/services/aigc/text-generation/generation\" \\\n--header \"Authorization: Bearer $DASHSCOPE_API_KEY\" \\\n--header \"Content-Type: application/json\" \\\n--data '{\n    \"model\": \"deepseek-v3\",\n    \"input\":{\n        \"messages\":[      \n            {\n                \"role\": \"system\",\n                \"content\": \"You are a helpful assistant.\"\n            },\n            {\n                \"role\": \"user\",\n                \"content\": \"你是谁？\"\n            }\n        ]\n    },\n    \"parameters\": {\n        \"result_format\": \"message\"\n    }\n}'",
+            "python": "import os\nfrom dashscope import Generation\nimport dashscope\n\ndashscope.base_http_api_url = 'https://[workspace-id].cn-beijing.maas.aliyuncs.com/api/v1'\n\nmessages = [\n    {\"role\": \"system\", \"content\": \"You are a helpful assistant.\"},\n    {\"role\": \"user\", \"content\": \"你是谁？\"},\n]\nresponse = Generation.call(\n    # 若没有配置环境变量，请用百炼API Key将下行替换为：api_key = \"sk-xxx\",\n    api_key=os.getenv(\"DASHSCOPE_API_KEY\"),\n    model=\"deepseek-v3\",\n    messages=messages,\n    result_format=\"message\",\n)\n\nprint(response.output.choices[0].message.content)",
             "java": "import java.util.Arrays;\nimport java.lang.System;\nimport com.alibaba.dashscope.aigc.generation.Generation;\nimport com.alibaba.dashscope.aigc.generation.GenerationParam;\nimport com.alibaba.dashscope.aigc.generation.GenerationResult;\nimport com.alibaba.dashscope.common.Message;\nimport com.alibaba.dashscope.common.Role;\nimport com.alibaba.dashscope.exception.ApiException;\nimport com.alibaba.dashscope.exception.InputRequiredException;\nimport com.alibaba.dashscope.exception.NoApiKeyException;\nimport com.alibaba.dashscope.protocol.Protocol;\n\npublic class Main {\n    public static GenerationResult callWithMessage() throws ApiException, NoApiKeyException, InputRequiredException {\n        Generation gen = new Generation(Protocol.HTTP.getValue(), \"https://[workspace-id].cn-beijing.maas.aliyuncs.com/api/v1\");\n        Message systemMsg = Message.builder()\n                .role(Role.SYSTEM.getValue())\n                .content(\"You are a helpful assistant.\")\n                .build();\n        Message userMsg = Message.builder()\n                .role(Role.USER.getValue())\n                .content(\"你是谁？\")\n                .build();\n        GenerationParam param = GenerationParam.builder()\n                // 若没有配置环境变量，请用百炼API Key将下行替换为：.apiKey(\"sk-xxx\")\n                .apiKey(System.getenv(\"DASHSCOPE_API_KEY\"))\n                .model(\"deepseek-v3\")\n                .messages(Arrays.asList(systemMsg, userMsg))\n                .resultFormat(GenerationParam.ResultFormat.MESSAGE)\n                .build();\n        return gen.call(param);\n    }\n    public static void main(String[] args) {\n        try {\n            GenerationResult result = callWithMessage();\n            System.out.println(result.getOutput().getChoices().get(0).getMessage().getContent());\n        } catch (ApiException | NoApiKeyException | InputRequiredException e) {\n            System.err.println(\"错误信息：\"+e.getMessage());\n        }\n    }\n}",
             "docUrl": "https://docs.bailian.console.aliyun.com/zh/model-studio/qwen-api-via-dashscope"
           }