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Merge pull request #152 from modelstudioai/feat/bailian-docs-update
chore: update bailian-docs-llm-wiki (2026-10-30)
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‎skills/bailian-docs-llm-wiki/llms.txt‎

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‎skills/bailian-docs-llm-wiki/models/families.jsonl‎

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‎skills/bailian-docs-llm-wiki/models/groups/paraformer-8k-v2.json‎

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{
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"name": "Qwen3-Omni-Flash",
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"description": "Qwen3-Omni-Flash多模态大模型,基于Thinker–Talker混合专家(MoE)架构,支持文本、图像、音频、视频的高效理解与语音生成能力,可进行119种语言文本交互和20种语言语音交互,生成类人语音实现跨语言精准沟通。模型具备强大指令跟随与系统提示定制功能,灵活适配对话风格与角色设定,广泛应用于文本创作、语音助手、多媒体分析等场景,提供自然流畅的多模态交互体验。",
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"items": [
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{
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"inferenceMetadata": {
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"response_modality": [
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"Text",
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"Audio"
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],
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"request_modality": [
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"Text",
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"Image",
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"Video",
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"Audio"
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]
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},
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"description": "千问3-Omni-Flash多模态大模型,基于Thinker–Talker混合专家(MoE)架构,支持文本、图像、音频、视频的高效理解与语音生成能力,可进行119种语言文本交互和20种语言语音交互,生成类人语音实现跨语言精准沟通。模型具备强大指令跟随与系统提示定制功能,灵活适配对话风格与角色设定,广泛应用于文本创作、语音助手、多媒体分析等场景,提供自然流畅的多模态交互体验。",
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"collectionTag": "qwen3",
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"features": [
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"model-experience",
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"function-calling"
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],
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"provider": "qwen",
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"model": "qwen3-omni-flash",
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"prices": [
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{
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"priceUnit": "每百万tokens",
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"price": "1.8",
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"timeBand": "standard",
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"ntmAmountType": "text_input_token",
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"type": "text_input_token",
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"priceName": "输入:文本"
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},
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{
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"priceUnit": "每百万tokens",
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"price": "15.8",
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"timeBand": "standard",
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"ntmAmountType": "audio_input_token",
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"type": "audio_input_token",
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"priceName": "输入:音频"
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},
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{
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"priceUnit": "每百万tokens",
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"price": "3.3",
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"timeBand": "standard",
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"ntmAmountType": "vision_input_token",
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"type": "vision_input_token",
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"priceName": "输入:图片/视频"
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},
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{
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"priceUnit": "每百万tokens",
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"price": "6.9",
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"timeBand": "standard",
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"ntmAmountType": "purein_text_output_token",
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"type": "purein_text_output_token",
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"priceName": "输出:文本(输入仅包含文本时)"
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},
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{
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"priceUnit": "每百万tokens",
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"price": "12.7",
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"timeBand": "standard",
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"ntmAmountType": "multiin_text_output_token",
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"type": "multiin_text_output_token",
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"priceName": "输出:文本(输入包含图片/音频/视频时)"
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},
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{
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"priceUnit": "每百万tokens",
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"price": "62.6",
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"timeBand": "standard",
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"ntmAmountType": "multi_output_token",
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"type": "multi_output_token",
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"priceName": "输出:文本+音频(输出的文本不计费)"
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},
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{
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"priceUnit": "每百万tokens",
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"price": "1.8",
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"timeBand": "standard",
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"ntmAmountType": "thinking_text_input_token",
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"type": "thinking_text_input_token",
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"priceName": "输入:文本(思考)"
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},
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{
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"priceUnit": "每百万tokens",
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"price": "15.8",
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"timeBand": "standard",
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"ntmAmountType": "thinking_audio_input_token",
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"type": "thinking_audio_input_token",
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"priceName": "输入:音频(思考)"
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},
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{
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"priceUnit": "每百万tokens",
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"price": "3.3",
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"timeBand": "standard",
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"ntmAmountType": "thinking_vision_input_token",
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"type": "thinking_vision_input_token",
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"priceName": "输入:图片/视频(思考)"
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},
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{
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"priceUnit": "每百万tokens",
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"price": "6.9",
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"timeBand": "standard",
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"ntmAmountType": "thinking_purein_text_output_token",
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"type": "thinking_purein_text_output_token",
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"priceName": "输出:文本(思考模式下,输入仅包含文本时)"
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},
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{
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"priceUnit": "每百万tokens",
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"price": "12.7",
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"timeBand": "standard",
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"ntmAmountType": "thinking_multiin_text_output_token",
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"type": "thinking_multiin_text_output_token",
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"priceName": "输出:文本(思考模式下,输入包含图片/音频/视频时)"
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}
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],
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"qpmInfo": {
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"model-default-actual": {
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"count_limit_period": 60,
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"usage_limit": 100000,
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"usage_limit_field": "total_tokens",
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"count_limit": 60,
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"usage_limit_period": 60,
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"type": "model-default"
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},
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"model-default": {
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"count_limit_period": 60,
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"usage_limit": 100000,
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"usage_limit_field": "total_tokens",
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"count_limit": 60,
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"usage_limit_period": 60,
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"type": "model-default"
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}
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},
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"priceTimeBands": [
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"standard"
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],
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"capabilities": [
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"Multimodal-Omni"
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],
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"modelAlias": "qwen3-omni-flash",
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"versionTag": "MAJOR",
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"equivalentSnapshot": "qwen3-omni-flash-2025-12-01",
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"maxOutputTokens": 16384,
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"latestOnlineAt": "2025-12-03T16:00:00.000+00:00",
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"contextWindow": 65536,
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"maxInputTokens": 49152,
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"inferenceProvider": "aliyun-bailian",
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"name": "Qwen3-Omni-Flash",
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"docUrl": "https://docs.bailian.console.aliyun.com/zh/model-studio/qwen-omni",
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"samples": {
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"openai": {
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"default": {
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"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\": \"qwen3-omni-flash\",\n \"messages\": [\n {\n \"role\": \"user\", \n \"content\": \"你是谁?\"\n }\n ],\n \"stream\":true,\n \"stream_options\":{\n \"include_usage\":true\n },\n \"modalities\":[\"text\",\"audio\"],\n \"audio\":{\"voice\":\"Ethan\",\"format\":\"wav\"}\n}'",
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"python": "import os\nfrom openai import OpenAI\n\nclient = OpenAI(\n # 新加坡和北京地域的API Key不同。获取API Key:https://www.alibabacloud.com/help/zh/model-studio/get-api-key\n api_key=os.getenv(\"DASHSCOPE_API_KEY\"),\n base_url=\"https://[workspace-id].cn-beijing.maas.aliyuncs.com/compatible-mode/v1\",\n)\n\ncompletion = client.chat.completions.create(\n model=\"qwen3-omni-flash\",\n messages=[{\"role\": \"user\", \"content\": \"你是谁\"}],\n # 设置输出数据的模态,当前支持两种:[\"text\",\"audio\"]、[\"text\"]\n modalities=[\"text\", \"audio\"],\n audio={\"voice\": \"Ethan\", \"format\": \"wav\"},\n # stream 必须设置为 True,否则会报错\n stream=True,\n stream_options={\"include_usage\": True},\n)\n\nfor chunk in completion:\n if chunk.choices:\n print(chunk.choices[0].delta)\n else:\n print(chunk.usage)",
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"nodejs": "import OpenAI from \"openai\";\n\nconst openai = new OpenAI(\n {\n // 新加坡和北京地域的API Key不同。获取API Key:https://www.alibabacloud.com/help/zh/model-studio/get-api-key\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: \"qwen3-omni-flash\",\n messages: [\n { role: \"user\", content: \"你是谁?\" }\n ],\n stream: true,\n stream_options: {\n include_usage: true\n },\n modalities: [\"text\", \"audio\"],\n audio: { voice: \"Ethan\", format: \"wav\" }\n});\n\nfor await (const chunk of completion) {\n if (Array.isArray(chunk.choices) && chunk.choices.length > 0) {\n console.log(chunk.choices[0].delta);\n } else {\n console.log(chunk.usage);\n }\n}",
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"docUrl": "https://docs.bailian.console.aliyun.com/zh/model-studio/qwen-omni"
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}
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}
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}
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}
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]
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}

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