|
| 1 | +{ |
| 2 | + "name": "Qwen3-Omni-Flash", |
| 3 | + "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。", |
| 4 | + "items": [ |
| 5 | + { |
| 6 | + "inferenceMetadata": { |
| 7 | + "response_modality": [ |
| 8 | + "Text", |
| 9 | + "Audio" |
| 10 | + ], |
| 11 | + "request_modality": [ |
| 12 | + "Text", |
| 13 | + "Image", |
| 14 | + "Video", |
| 15 | + "Audio" |
| 16 | + ] |
| 17 | + }, |
| 18 | + "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。", |
| 19 | + "collectionTag": "qwen3", |
| 20 | + "features": [ |
| 21 | + "model-experience", |
| 22 | + "function-calling" |
| 23 | + ], |
| 24 | + "provider": "qwen", |
| 25 | + "model": "qwen3-omni-flash", |
| 26 | + "prices": [ |
| 27 | + { |
| 28 | + "priceUnit": "每百万tokens", |
| 29 | + "price": "1.8", |
| 30 | + "timeBand": "standard", |
| 31 | + "ntmAmountType": "text_input_token", |
| 32 | + "type": "text_input_token", |
| 33 | + "priceName": "输入:文本" |
| 34 | + }, |
| 35 | + { |
| 36 | + "priceUnit": "每百万tokens", |
| 37 | + "price": "15.8", |
| 38 | + "timeBand": "standard", |
| 39 | + "ntmAmountType": "audio_input_token", |
| 40 | + "type": "audio_input_token", |
| 41 | + "priceName": "输入:音频" |
| 42 | + }, |
| 43 | + { |
| 44 | + "priceUnit": "每百万tokens", |
| 45 | + "price": "3.3", |
| 46 | + "timeBand": "standard", |
| 47 | + "ntmAmountType": "vision_input_token", |
| 48 | + "type": "vision_input_token", |
| 49 | + "priceName": "输入:图片/视频" |
| 50 | + }, |
| 51 | + { |
| 52 | + "priceUnit": "每百万tokens", |
| 53 | + "price": "6.9", |
| 54 | + "timeBand": "standard", |
| 55 | + "ntmAmountType": "purein_text_output_token", |
| 56 | + "type": "purein_text_output_token", |
| 57 | + "priceName": "输出:文本(输入仅包含文本时)" |
| 58 | + }, |
| 59 | + { |
| 60 | + "priceUnit": "每百万tokens", |
| 61 | + "price": "12.7", |
| 62 | + "timeBand": "standard", |
| 63 | + "ntmAmountType": "multiin_text_output_token", |
| 64 | + "type": "multiin_text_output_token", |
| 65 | + "priceName": "输出:文本(输入包含图片/音频/视频时)" |
| 66 | + }, |
| 67 | + { |
| 68 | + "priceUnit": "每百万tokens", |
| 69 | + "price": "62.6", |
| 70 | + "timeBand": "standard", |
| 71 | + "ntmAmountType": "multi_output_token", |
| 72 | + "type": "multi_output_token", |
| 73 | + "priceName": "输出:文本+音频(输出的文本不计费)" |
| 74 | + }, |
| 75 | + { |
| 76 | + "priceUnit": "每百万tokens", |
| 77 | + "price": "1.8", |
| 78 | + "timeBand": "standard", |
| 79 | + "ntmAmountType": "thinking_text_input_token", |
| 80 | + "type": "thinking_text_input_token", |
| 81 | + "priceName": "输入:文本(思考)" |
| 82 | + }, |
| 83 | + { |
| 84 | + "priceUnit": "每百万tokens", |
| 85 | + "price": "15.8", |
| 86 | + "timeBand": "standard", |
| 87 | + "ntmAmountType": "thinking_audio_input_token", |
| 88 | + "type": "thinking_audio_input_token", |
| 89 | + "priceName": "输入:音频(思考)" |
| 90 | + }, |
| 91 | + { |
| 92 | + "priceUnit": "每百万tokens", |
| 93 | + "price": "3.3", |
| 94 | + "timeBand": "standard", |
| 95 | + "ntmAmountType": "thinking_vision_input_token", |
| 96 | + "type": "thinking_vision_input_token", |
| 97 | + "priceName": "输入:图片/视频(思考)" |
| 98 | + }, |
| 99 | + { |
| 100 | + "priceUnit": "每百万tokens", |
| 101 | + "price": "6.9", |
| 102 | + "timeBand": "standard", |
| 103 | + "ntmAmountType": "thinking_purein_text_output_token", |
| 104 | + "type": "thinking_purein_text_output_token", |
| 105 | + "priceName": "输出:文本(思考模式下,输入仅包含文本时)" |
| 106 | + }, |
| 107 | + { |
| 108 | + "priceUnit": "每百万tokens", |
| 109 | + "price": "12.7", |
| 110 | + "timeBand": "standard", |
| 111 | + "ntmAmountType": "thinking_multiin_text_output_token", |
| 112 | + "type": "thinking_multiin_text_output_token", |
| 113 | + "priceName": "输出:文本(思考模式下,输入包含图片/音频/视频时)" |
| 114 | + } |
| 115 | + ], |
| 116 | + "qpmInfo": { |
| 117 | + "model-default-actual": { |
| 118 | + "count_limit_period": 60, |
| 119 | + "usage_limit": 100000, |
| 120 | + "usage_limit_field": "total_tokens", |
| 121 | + "count_limit": 60, |
| 122 | + "usage_limit_period": 60, |
| 123 | + "type": "model-default" |
| 124 | + }, |
| 125 | + "model-default": { |
| 126 | + "count_limit_period": 60, |
| 127 | + "usage_limit": 100000, |
| 128 | + "usage_limit_field": "total_tokens", |
| 129 | + "count_limit": 60, |
| 130 | + "usage_limit_period": 60, |
| 131 | + "type": "model-default" |
| 132 | + } |
| 133 | + }, |
| 134 | + "priceTimeBands": [ |
| 135 | + "standard" |
| 136 | + ], |
| 137 | + "capabilities": [ |
| 138 | + "Multimodal-Omni" |
| 139 | + ], |
| 140 | + "modelAlias": "qwen3-omni-flash", |
| 141 | + "versionTag": "MAJOR", |
| 142 | + "equivalentSnapshot": "qwen3-omni-flash-2025-12-01", |
| 143 | + "maxOutputTokens": 16384, |
| 144 | + "latestOnlineAt": "2025-12-03T16:00:00.000+00:00", |
| 145 | + "contextWindow": 65536, |
| 146 | + "maxInputTokens": 49152, |
| 147 | + "inferenceProvider": "aliyun-bailian", |
| 148 | + "name": "Qwen3-Omni-Flash", |
| 149 | + "docUrl": "https://docs.bailian.console.aliyun.com/zh/model-studio/qwen-omni", |
| 150 | + "samples": { |
| 151 | + "openai": { |
| 152 | + "default": { |
| 153 | + "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}'", |
| 154 | + "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)", |
| 155 | + "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}", |
| 156 | + "docUrl": "https://docs.bailian.console.aliyun.com/zh/model-studio/qwen-omni" |
| 157 | + } |
| 158 | + } |
| 159 | + } |
| 160 | + } |
| 161 | + ] |
| 162 | +} |
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