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Merge pull request #116 from modelstudioai/feat/bailian-docs-update
chore: update bailian-docs-llm-wiki (2026-09-18)
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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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{"slug":"qwen3.7-max","name":"Qwen3.7-Max","description":"Qwen3.7系列中规模最大、综合能力最强的Max模型，当前开放纯文本模型能力供体验。Qwen3.7是面向智能体时代的新一代旗舰模型，核心优势在于智能体能力的广度与深度：在编程、办公与生产力、长周期自主执行方面均能出色胜任各项任务。","primaryCapability":"Reasoning","capabilities":["Reasoning","TG"],"providers":["qwen"],"itemCount":2,"items":[{"model":"qwen3.7-max","name":"Qwen3.7-Max","contextWindow":1000000,"capabilities":["Reasoning","TG"]},{"model":"qwen3.7-max-preview","name":"Qwen3.7-Max-Preview","contextWindow":1000000,"capabilities":["TG","Reasoning"]}],"detailPath":"groups/qwen3.7-max.json","maxContextWindow":1000000}
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{"slug":"qwen3.7-plus","name":"Qwen3.7-Plus","description":"Qwen3.7系列中高性价比Plus模型，在强大文本能力的基础上全面升级了视觉-语言能力，同时保持了在编码、工具使用和生产力工作流方面的完整智能体能力。其核心特色为多模态交互混合智能体能力，能够感知真实世界场景、读取屏幕并操作 GUI、基于视觉参考生成代码、端到端导航移动应用。","primaryCapability":"TG","capabilities":["TG","Reasoning","VU"],"providers":["qwen"],"itemCount":1,"items":[{"model":"qwen3.7-plus","name":"Qwen3.7-Plus","contextWindow":1000000,"capabilities":["TG","Reasoning","VU"]}],"detailPath":"groups/qwen3.7-plus.json","maxContextWindow":1000000}
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{"slug":"qwen3.8-flash","name":"Qwen3.8-Flash","description":"Qwen3.8-Flash 是通义千问最新推出的多模态大模型，兼具强大的理解与生成能力和出色的响应速度。模型原生支持百万级上下文窗口，能够一次性处理超长文档、代码仓库和复杂对话。在编程辅助、智能体协作、图文理解等场景中表现尤为出色——无论是自动修复代码、操作桌面应用，还是分析图表与长视频，都能给出准确、高质量的结果。同时兼容 OpenAI 与 Anthropic 主流接口协议，可无缝接入 Claude Code、Codex 等开发者工具，轻松构建高并发应用与智能工作流。凭借优异的性能与极具竞争力的推理成本，Qwen3.8-Flash 是开发者和企业在 AI 应用中兼顾效果与效率的理想选择。","primaryCapability":"TG","capabilities":["TG","VU","Reasoning"],"providers":["qwen"],"itemCount":1,"items":[{"model":"qwen3.8-flash","name":"Qwen3.8-Flash","contextWindow":1000000,"capabilities":["TG","VU","Reasoning"]}],"detailPath":"groups/qwen3.8-flash.json","maxContextWindow":1000000}
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{"slug":"qwen3.8-livetranslate-flash-realtime","name":"Qwen3.8-LiveTranslate-Flash-Realtime","description":"Qwen3.8-LiveTranslate-Flash的实时版本，一款高精度、高响应、高鲁棒性的多语言实时音视频同传大模型。依托Qwen-Omni强大的基座能力、海量多模态数据、跨语言跨模态对齐和视觉增强等技术，通义千问3.8-LiveTranslate-Flash 实现了离线和实时两种音视频翻译能力，能听懂60种语言，会说29种语言。","primaryCapability":"Realtime-Audio-Translate","capabilities":["Realtime-Audio-Translate"],"providers":["qwen"],"itemCount":1,"items":[{"model":"qwen3.8-livetranslate-flash-realtime","name":"Qwen3.8-Livetranslate-Flash-Realtime","contextWindow":53248,"capabilities":["Realtime-Audio-Translate"]}],"detailPath":"groups/qwen3.8-livetranslate-flash-realtime.json","maxContextWindow":53248}
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{"slug":"qwen3.8-max","name":"Qwen3.8-Max","description":"Qwen3.8原生视觉语言系列Max模型，是通义千问迄今能力最强的旗舰模型，拥有2.4万亿参数，采用MoE架构，展现出与当前顶尖前沿模型相媲美的卓越性能，模型效果相较3.7系列显著提升。","primaryCapability":"Reasoning","capabilities":["Reasoning","VU","TG"],"providers":["qwen"],"itemCount":2,"items":[{"model":"qwen3.8-max","name":"Qwen3.8-Max","contextWindow":1000000,"capabilities":["Reasoning","VU","TG"]},{"model":"qwen3.8-max-0902","name":"Qwen3.8-Max-0902","contextWindow":1000000,"capabilities":["TG","VU","Reasoning"]}],"detailPath":"groups/qwen3.8-max.json","maxContextWindow":1000000}
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{"slug":"qwen3.8-omni-flash","name":"Qwen3.8-Omni-Flash","description":"Qwen3.8-Omni-Flash 是面向多模态理解与实时交互的新一代全模态模型，支持文本、图像、音频和视频输入。模型具备百万级上下文窗口，支持深度思考、流式输出及 OpenAI 兼容接口。离线模式适用于长音视频分析、内容理解与复杂推理；实时模式支持低延迟语音交互、视频理解和 MCP 工具调用，可用于智能助手、会议分析、实时翻译及多模态智能体等场景。","primaryCapability":"Multimodal-Omni","capabilities":["Multimodal-Omni"],"providers":["qwen"],"itemCount":1,"items":[{"model":"qwen3.8-omni-flash","name":"Qwen3.8-Omni-Flash","contextWindow":1000000,"capabilities":["Multimodal-Omni"]}],"detailPath":"groups/qwen3.8-omni-flash.json","maxContextWindow":1000000}
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{"slug":"qwen3.8-opensource","name":"Qwen3.8开源模型","description":"Qwen3.8-2.4T-A95B 是通义千问最新旗舰系列的开源版本，2026 年 8 月发布。采用稀疏 MoE 架构，总参数 2.4 万亿，每步激活约 950 亿，配合混合注意力机制，支持 100 万 Token 上下文。核心基准：GPQA Diamond 92.6、PaperBench 93.0、OSWorld 86.1、BabyVision 82.0，CodeArena 全球第 4。","primaryCapability":"TG","capabilities":["TG","Reasoning","VU"],"providers":["qwen"],"itemCount":2,"items":[{"model":"qwen3.8-2.4t-a95b","name":"Qwen3.8-2.4T-A95B","contextWindow":1000000,"capabilities":["TG"]},{"model":"qwen3.8-27b","name":"Qwen3.8-27B","contextWindow":1000000,"capabilities":["TG","Reasoning","VU"]}],"detailPath":"groups/qwen3.8-opensource.json","maxContextWindow":1000000}
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{"slug":"qwen3","name":"Qwen3开源模型","description":"Qwen3系列开源模型，包含混合模型、思考模型与非思考模型，思考能力与通用能力均达到同规模业界SOTA水平。","primaryCapability":"VU","capabilities":["VU","Reasoning","TG"],"providers":["qwen"],"itemCount":20,"items":[{"model":"qwen3-14b","name":"Qwen3-14B","contextWindow":131072,"capabilities":["Reasoning","TG"]},{"model":"qwen3-235b-a22b","name":"Qwen3-235B-A22B","contextWindow":131072,"capabilities":["Reasoning","TG"]},{"model":"qwen3-235b-a22b-instruct-2507","name":"Qwen3-235B-A22B-Instruct-2507","contextWindow":131072,"capabilities":["TG"]},{"model":"qwen3-235b-a22b-thinking-2507","name":"Qwen3-235B-A22B-Thinking-2507","contextWindow":131072,"capabilities":["Reasoning","TG"]},{"model":"qwen3-30b-a3b","name":"Qwen3-30B-A3B","contextWindow":131072,"capabilities":["Reasoning","TG"]},{"model":"qwen3-30b-a3b-instruct-2507","name":"Qwen3-30B-A3B-Instruct-2507","contextWindow":131072,"capabilities":["TG"]},{"model":"qwen3-30b-a3b-thinking-2507","name":"Qwen3-30B-A3B-Thinking-2507","contextWindow":81920,"capabilities":["Reasoning","TG"]},{"model":"qwen3-32b","name":"Qwen3-32B","contextWindow":131072,"capabilities":["Reasoning","TG"]},{"model":"qwen3-8b","name":"Qwen3-8B","contextWindow":131072,"capabilities":["Reasoning","TG"]},{"model":"qwen3-coder-next","name":"通义千问3-Coder-Next","contextWindow":262144,"capabilities":["TG"]},{"model":"qwen3-next-80b-a3b-instruct","name":"Qwen3-Next-80B-A3B-Instruct","contextWindow":131072,"capabilities":["TG"]},{"model":"qwen3-next-80b-a3b-thinking","name":"Qwen3-Next-80B-A3B-Thinking","contextWindow":131072,"capabilities":["Reasoning","TG"]},{"model":"qwen3-vl-235b-a22b-instruct","name":"Qwen3-VL-235B-A22B-Instruct","contextWindow":131072,"capabilities":["VU"]},{"model":"qwen3-vl-235b-a22b-thinking","name":"Qwen3-VL-235B-A22B-Thinking","contextWindow":131072,"capabilities":["VU","Reasoning"]},{"model":"qwen3-vl-30b-a3b-instruct","name":"Qwen3-VL-30B-A3B-Instruct","contextWindow":131072,"capabilities":["VU"]},{"model":"qwen3-vl-30b-a3b-thinking","name":"Qwen3-VL-30B-A3B-Thinking","contextWindow":131072,"capabilities":["VU","Reasoning"]},{"model":"qwen3-vl-32b-instruct","name":"Qwen3-VL-32B-Instruct","contextWindow":131072,"capabilities":["VU"]},{"model":"qwen3-vl-32b-thinking","name":"Qwen3-VL-32B-Thinking","contextWindow":131072,"capabilities":["VU","Reasoning"]},{"model":"qwen3-vl-8b-instruct","name":"Qwen3-VL-8B-Instruct","contextWindow":131072,"capabilities":["VU"]},{"model":"qwen3-vl-8b-thinking","name":"Qwen3-VL-8B-Thinking","contextWindow":131072,"capabilities":["VU","Reasoning"]}],"detailPath":"groups/qwen3.json","maxContextWindow":262144}
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{"slug":"qwq-plus","name":"Qwen-QwQ-Plus","description":"千问QwQ推理模型增强版，基于Qwen2.5模型训练的QwQ推理模型，通过强化学习大幅度提升了模型推理能力。模型数学代码等核心指标（AIME 24/25、livecodebench）以及部分通用指标（IFEval、LiveBench等）达到DeepSeek-R1 满血版水平。","primaryCapability":"Reasoning","capabilities":["Reasoning"],"providers":["qwen"],"itemCount":1,"items":[{"model":"qwq-plus","name":"QwQ-Plus","contextWindow":131072,"capabilities":["Reasoning"]}],"detailPath":"groups/qwq-plus.json","maxContextWindow":131072}

‎skills/bailian-docs-llm-wiki/models/groups/deepseek.json‎

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"maxInputTokens": 1000000,
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"inferenceProvider": "aliyun-bailian",
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"name": "DeepSeek-V4-Pro-0813",
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"docUrl": "https://docs.bailian.console.aliyun.com/zh/model-studio/deepseek-api",
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"category": "Third-party",
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"samples": {
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"openai": {

‎skills/bailian-docs-llm-wiki/models/groups/qwen3.8-livetranslate-flash-realtime.json‎

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{
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"name": "Qwen3.8-LiveTranslate-Flash-Realtime",
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"description": "Qwen3.8-LiveTranslate-Flash的实时版本，一款高精度、高响应、高鲁棒性的多语言实时音视频同传大模型。依托Qwen-Omni强大的基座能力、海量多模态数据、跨语言跨模态对齐和视觉增强等技术，通义千问3.8-LiveTranslate-Flash 实现了离线和实时两种音视频翻译能力，能听懂60种语言，会说29种语言。",
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"items": [
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{
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"inferenceMetadata": {
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"response_modality": [
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"Audio",
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"Text"
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],
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"request_modality": [
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"Audio",
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"Image"
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]
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},
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"description": "Qwen3.8-LiveTranslate-Flash的实时版本，一款高精度、高响应、高鲁棒性的多语言实时音视频同传大模型。依托Qwen-Omni强大的基座能力、海量多模态数据、跨语言跨模态对齐和视觉增强等技术，通义千问3.8-LiveTranslate-Flash 实现了离线和实时两种音视频翻译能力，能听懂60种语言，会说29种语言。",
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"collectionTag": "qwen3.8",
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"features": [],
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"provider": "qwen",
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"model": "qwen3.8-livetranslate-flash-realtime",
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"prices": [
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{
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"priceUnit": "每百万tokens",
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"price": "40",
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"timeBand": "standard",
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"ntmAmountType": "translate_audio_input_token",
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"type": "translate_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": "translate_vision_input_token",
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"type": "translate_vision_input_token",
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"priceName": "输入：图片"
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},
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{
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"priceUnit": "每百万tokens",
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"price": "100",
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"timeBand": "standard",
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"ntmAmountType": "translate_multi_text_output_token",
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"type": "translate_multi_text_output_token",
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"priceName": "输出：文本"
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},
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{
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"priceUnit": "每百万tokens",
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"price": "160",
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"timeBand": "standard",
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"ntmAmountType": "translate_multi_output_token",
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"type": "translate_multi_output_token",
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"priceName": "输出：音频"
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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": 10,
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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": 10,
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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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"Realtime-Audio-Translate"
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],
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"versionTag": "MAJOR",
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"maxOutputTokens": 4096,
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"latestOnlineAt": "2026-09-11T10:02:53.000+00:00",
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"contextWindow": 53248,
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"maxInputTokens": 49152,
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"inferenceProvider": "aliyun-bailian",
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"name": "Qwen3.8-Livetranslate-Flash-Realtime",
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"docUrl": "https://docs.bailian.console.aliyun.com/zh/model-studio/qwen3-5-livetranslate-flash-realtime",
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"category": "Audio",
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"samples": {
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"dashscope": {
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"default": {
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"python": "# pip install websocket-client\nimport json\nimport websocket\nimport os\n\nAPI_KEY=os.getenv(\"DASHSCOPE_API_KEY\")\nAPI_URL = \"wss://[workspace-id].cn-beijing.maas.aliyuncs.com/api-ws/v1/realtime?model=qwen3.8-livetranslate-flash-realtime\"\n\nheaders = [\n\"Authorization: Bearer \" + API_KEY\n]\n\ndef on_open(ws):\nprint(f\"Connected to server: {API_URL}\")\ndef on_message(ws, message):\ndata = json.loads(message)\nprint(\"Received event:\", json.dumps(data, indent=2))\ndef on_error(ws, error):\nprint(\"Error:\", error)\n\nws = websocket.WebSocketApp(\nAPI_URL,\nheader=headers,\non_open=on_open,\non_message=on_message,\non_error=on_error\n)\n\nws.run_forever()",
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"docUrl": "https://docs.bailian.console.aliyun.com/zh/model-studio/qwen3-5-livetranslate-flash-realtime"
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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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