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chore: update bailian-docs-llm-wiki (2026-08-27)
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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-flash","name":"Qwen3.7-Flash","description":"Qwen3.7原生视觉语言系列Flash模型,相较3.6-Flash全面提升多模态理解与Agent执行能力。重点强化多模态基础能力、万物识别能力更强,真实世界感知与空间智能进一步提升,Search Agent、CI Agent等多模态Agent场景能力显著升级、端到端任务执行更稳定,多模态Coding能力优化、vibe coding 体验更加流畅。","primaryCapability":"TG","capabilities":["TG","VU","Reasoning"],"providers":["qwen"],"itemCount":1,"items":[{"model":"qwen3.7-flash","name":"Qwen3.7-Flash","contextWindow":1000000,"capabilities":["TG","VU","Reasoning"]}],"detailPath":"groups/qwen3.7-flash.json","maxContextWindow":1000000}
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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-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":1,"items":[{"model":"qwen3.8-max","name":"Qwen3.8-Max","contextWindow":1000000,"capabilities":["Reasoning","VU","TG"]}],"detailPath":"groups/qwen3.8-max.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":"tongyi-xiaomi-analysis-flash","name":"伶鹊-对话分析-flash","description":"伶鹊-对话分析-flash是专注于日常任务,如对话信息抽取、场景分类等分析类需求的模型,自定义分析标准遵循与对话语义理解能力显著提升,适用于低时延的离线在线分析任务。","primaryCapability":"TG","capabilities":["TG"],"providers":["qwen-domain-model"],"itemCount":1,"items":[{"model":"tongyi-xiaomi-analysis-flash","name":"伶鹊-对话分析-flash","contextWindow":32768,"capabilities":["TG"]}],"detailPath":"groups/tongyi-xiaomi-analysis-flash.json","maxContextWindow":32768}
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{"slug":"tongyi-xiaomi-analysis-pro","name":"伶鹊-对话分析-pro","description":"伶鹊-对话分析-pro是专注于高阶复杂分析,如针对具备复杂业务逻辑的复杂质检规则等分析需求的模型,支持自定义更细粒度的分析标准,具备更强的多轮上下文建模、深层语义理解与推理能力。","primaryCapability":"TG","capabilities":["TG"],"providers":["qwen-domain-model"],"itemCount":1,"items":[{"model":"tongyi-xiaomi-analysis-pro","name":"伶鹊-对话分析-pro","contextWindow":32768,"capabilities":["TG"]}],"detailPath":"groups/tongyi-xiaomi-analysis-pro.json","maxContextWindow":32768}
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{"slug":"tripo-models-market-place","name":"Tripo","description":"AI驱动的3D通用大模型Tripo,支持文本或图片输入,数秒内一键生成高质量3D模型。","primaryCapability":"3D-generation","capabilities":["3D-generation"],"providers":["tripo"],"itemCount":2,"items":[{"model":"Tripo/Tripo-H3.1","name":"Tripo-H3.1","capabilities":["3D-generation"]},{"model":"Tripo/Tripo-P1.0","name":"Tripo-P1.0","capabilities":["3D-generation"]}],"detailPath":"groups/tripo-models-market-place.json"}
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{"slug":"vanchin-models-market-place","name":"Vanchin DeepSeek","description":"由快手万擎提供的DeepSeek系列模型API服务。","primaryCapability":"TG","capabilities":["TG","Reasoning","VU"],"providers":["deepseek"],"itemCount":6,"items":[{"model":"vanchin/deepseek-ocr","name":"Vanchin/DeepSeek-OCR","contextWindow":8192,"capabilities":["VU","TG"]},{"model":"vanchin/deepseek-r1","name":"Vanchin/DeepSeek-R1","contextWindow":131072,"capabilities":["Reasoning","TG"]},{"model":"vanchin/deepseek-v3","name":"Vanchin/DeepSeek-V3","contextWindow":131072,"capabilities":["TG"]},{"model":"vanchin/deepseek-v3.1-terminus","name":"Vanchin/DeepSeek-V3.1-Terminus","contextWindow":131072,"capabilities":["TG","Reasoning"]},{"model":"vanchin/deepseek-v3.2-think","name":"Vanchin/DeepSeek-V3.2-think","contextWindow":131072,"capabilities":["Reasoning","TG"]},{"model":"vanchin/deepseek-v4-pro","name":"vanchin/deepseek-v4-pro","contextWindow":1048576,"capabilities":["TG"]}],"detailPath":"groups/vanchin-models-market-place.json","maxContextWindow":1048576}
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{"slug":"vanchin-models-market-place","name":"Vanchin DeepSeek","description":"由快手万擎提供的DeepSeek系列模型API服务。","primaryCapability":"TG","capabilities":["TG","Reasoning","VU"],"providers":["deepseek"],"itemCount":7,"items":[{"model":"vanchin/deepseek-ocr","name":"Vanchin/DeepSeek-OCR","contextWindow":8192,"capabilities":["VU","TG"]},{"model":"vanchin/deepseek-r1","name":"Vanchin/DeepSeek-R1","contextWindow":131072,"capabilities":["Reasoning","TG"]},{"model":"vanchin/deepseek-v3","name":"Vanchin/DeepSeek-V3","contextWindow":131072,"capabilities":["TG"]},{"model":"vanchin/deepseek-v3.1-terminus","name":"Vanchin/DeepSeek-V3.1-Terminus","contextWindow":131072,"capabilities":["TG","Reasoning"]},{"model":"vanchin/deepseek-v3.2-think","name":"Vanchin/DeepSeek-V3.2-think","contextWindow":131072,"capabilities":["Reasoning","TG"]},{"model":"vanchin/deepseek-v4-pro","name":"vanchin/deepseek-v4-pro","contextWindow":1048576,"capabilities":["TG"]},{"model":"vanchin/deepseek-v4-pro-0813","name":"vanchin/deepseek-v4-pro-0813","contextWindow":1048576,"capabilities":["TG"]}],"detailPath":"groups/vanchin-models-market-place.json","maxContextWindow":1048576}
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{"slug":"video-style-transform","name":"视频风格重绘","description":"视频风格重绘可以将输入的视频帧序列进行多种风格化的重绘/生成,使新视频画面在兼顾原始人物和物体相貌的同时,带来不同风格的绘画效果。当前支持预置重绘风格包括日式漫画、美式漫画、清新漫画、3D卡通、国风卡通。","primaryCapability":"VG","capabilities":["VG"],"providers":["qwen"],"itemCount":1,"items":[{"model":"video-style-transform","name":"视频风格重绘","capabilities":["VG"]}],"detailPath":"groups/video-style-transform.json"}
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{"slug":"videoretalk","name":"声动人像VideoRetalk","description":"VideoRetalk是一个人物视频生成模型,可基于人物视频和人声音频,生成人物讲话口型与输入音频相匹配的新视频。","primaryCapability":"VG","capabilities":["VG"],"providers":["qwen"],"itemCount":1,"items":[{"model":"videoretalk","name":"声动人像VideoRetalk","capabilities":["VG"]}],"detailPath":"groups/videoretalk.json"}
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{"slug":"vidu-image-models-market-place","name":"Vidu AI生图","description":"由生数科技提供Vidu系列图片生成API服务,多图参考,精准还原,高速高质。","primaryCapability":"IG","capabilities":["IG"],"providers":["vidu"],"itemCount":6,"items":[{"model":"vidu/vidu-image_reference2image","name":"Vidu-image_reference2image","capabilities":["IG"]},{"model":"vidu/vidu-image-lite_reference2image","name":"Vidu-image-lite_reference2image","capabilities":["IG"]},{"model":"vidu/vidu-image-pro_reference2image","name":"Vidu-image-pro_reference2image","capabilities":["IG"]},{"model":"vidu/viduq2-fast_reference2image","name":"ViduQ2-fast_reference2image","capabilities":["IG"]},{"model":"vidu/viduq2-pro_reference2image","name":"ViduQ2-Pro_reference2image","capabilities":["IG"]},{"model":"vidu/viduq3-fast_reference2image","name":"ViduQ3-fast_reference2image","capabilities":["IG"]}],"detailPath":"groups/vidu-image-models-market-place.json"}

‎skills/bailian-docs-llm-wiki/models/groups/kimi-models-market-place.json‎

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"latestOnlineAt": "2026-02-12T16:00:00.000+00:00",
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"contextWindow": 262144,
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"maxInputTokens": 262144,
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"offlineInfo": {},
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"offlineInfo": {
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"inference": {
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"announceUrl": "https://help.aliyun.com/zh/marketplace/three-party-direct-supply-model-kimi-k2-5-offline-notification#section-x-02",
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"offlineTime": "2026-08-31 00:00:00"
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}
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},
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"inferenceProvider": "moonshot-ai",
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"name": "Kimi/Kimi K2.5",
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"docUrl": "https://help.aliyun.com/document_detail/3021620.html",

‎skills/bailian-docs-llm-wiki/models/groups/qwen-rerank.json‎

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"samples": {
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"dashscope": {
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"default": {
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"curl": "curl --location 'https://[workspace-id].cn-beijing.maas.aliyuncs.com/api/v1/services/rerank/text-rerank/text-rerank' \\\n--header \"Authorization: Bearer $DASHSCOPE_API_KEY\" \\\n--header 'Content-Type: application/json' \\\n--data '{\n \"model\": \"gte-rerank-v2\",\n \"query\": \"什么是文本排序模型\",\n \"documents\": [\n \"文本排序模型广泛用于搜索引擎和推荐系统中,它们根据文本相关性对候选文本进行排序\",\n \"量子计算是计算科学的一个前沿领域\",\n \"预训练语言模型的发展给文本排序模型带来了新的进展\"\n ],\n \"top_n\": 5,\n \"return_documents\": true\n}'",
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"curl": "curl --location 'https://[workspace-id].cn-beijing.maas.aliyuncs.com/api/v1/services/rerank/text-rerank/text-rerank' \\\n--header \"Authorization: Bearer $DASHSCOPE_API_KEY\" \\\n--header 'Content-Type: application/json' \\\n--data '{\n \"model\": \"gte-rerank-v2\",\n \"input\": {\n \"query\": \"什么是文本排序模型\",\n \"documents\": [\n \"文本排序模型广泛用于搜索引擎和推荐系统中,它们根据文本相关性对候选文本进行排序\",\n \"量子计算是计算科学的一个前沿领域\",\n \"预训练语言模型的发展给文本排序模型带来了新的进展\"\n ]\n },\n \"parameters\": {\n \"top_n\": 5,\n \"return_documents\": true\n }\n}'",
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"docUrl": "https://help.aliyun.com/document_detail/2780056.html"
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}
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}

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