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chore: update bailian-docs-llm-wiki (2026-07-18)
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‎skills/bailian-docs-llm-wiki/SKILL.md‎

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| **按家族筛选**：按 primaryCapability / providers / itemCount / maxContextWindow 找家族 | `models/families.jsonl`（一行一家族，含 items[] 摘要） |
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| 模型家族总览 / 按能力分桶浏览 | `models/index.md` |
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| 主题页 / API 文档（按功能领域查找） | `wiki/index.md`（完整索引入口） |
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| OpenAI 兼容接口 | `wiki/concepts/openai-compatible-interface.md` |
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| API Key 鉴权 | `wiki/concepts/api-key.md` |
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| 函数调用（Function Calling） | `wiki/concepts/function-calling.md` |
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| 检索增强生成（RAG） | `wiki/concepts/rag.md` |
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| 异步调用与任务轮询 | `wiki/concepts/async-invocation.md` |
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| Token 与计费 | `wiki/concepts/token-and-billing.md` |
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| 流式输出 | `wiki/concepts/streaming-output.md` |
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| 业务空间（Workspace） | `wiki/concepts/workspace.md` |
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| 模型调优与部署 | `wiki/concepts/fine-tuning-and-deployment.md` |
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| MCP 与工具扩展 | `wiki/concepts/mcp-and-tools.md` |
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| 模型微调、压缩与部署对比 | `wiki/comparisons/fine-tuning-vs-compression-vs-deployment.md` |
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| 模型评估与模型监控对比 | `wiki/comparisons/model-evaluation-vs-monitoring.md` |
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| 图像、视频与 3D 生成对比 | `wiki/comparisons/image-vs-video-vs-3d-generation.md` |
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| 应用评估与应用监控对比 | `wiki/comparisons/app-evaluation-vs-monitoring.md` |
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| 知识库与记忆库对比 | `wiki/comparisons/knowledge-base-vs-memory-library.md` |
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| 托管智能体：指南与 API 对比 | `wiki/comparisons/managed-agents-guide-vs-api.md` |
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| 函数调用 | `wiki/concepts/function-calling.md` |
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| 检索增强生成 | `wiki/concepts/rag.md` |
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| 流式输出 | `wiki/concepts/streaming.md` |
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| 异步调用 | `wiki/concepts/async-invocation.md` |
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| API密钥 | `wiki/concepts/api-key.md` |
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| OpenAI兼容接口 | `wiki/concepts/openai-compatible-interface.md` |
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| 业务空间 | `wiki/concepts/workspace.md` |
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| 多模态 | `wiki/concepts/multimodal.md` |
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| Token | `wiki/concepts/token.md` |
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| 图像/3D/视频生成 API 对比 | `wiki/comparisons/generation-api-vs.md` |
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| 长期记忆与记忆库对比 | `wiki/comparisons/memory-solutions-vs.md` |
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| 微调与模型压缩对比 | `wiki/comparisons/model-optimization-vs.md` |
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| 应用监控与模型监控对比 | `wiki/comparisons/monitoring-vs.md` |
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| 应用评测与模型评测对比 | `wiki/comparisons/evaluation-vs.md` |
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| 框架与工具包对比 | `wiki/comparisons/frameworks-vs.md` |
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> 实际文件名以 `wiki/index.md` 为准；上表若有出入应回到索引页查找。
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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/kimi-models-market-place.json‎

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"name": "Kimi",
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"description": "由月之暗面提供的Kimi系列模型的API服务。",
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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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],
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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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]
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},
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"description": "Kimi K3 是 Kimi 迄今能力最强的旗舰模型，拥有 2.8 万亿参数，基于 KDA 混合线性注意力机制（Kimi Delta Attention）和注意力残差（Attention Residuals）技术构建，原生支持视觉理解，并拥有 100 万 token 上下文窗口。它是全球首个开源的 3 万亿级别模型，面向长程编程、知识工作和推理等前沿智能场景而设计。",
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"features": [
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"function-calling",
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"structured-outputs",
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"cache",
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"prefix-completion"
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],
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"provider": "moonshot-ai",
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"model": "kimi/kimi-k3",
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"prices": [
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{
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"priceUnit": "每百万tokens",
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"price": "20",
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"type": "input_token",
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"priceName": "输入"
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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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"type": "output_token",
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"priceName": "输出"
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},
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{
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"priceUnit": "每百万tokens",
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"price": "2",
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"type": "input_token_cache",
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"priceName": "输入（缓存命中）"
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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": 3000000,
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"usage_limit_field": "total_tokens",
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"count_limit": 500,
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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": 3000000,
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"usage_limit_field": "total_tokens",
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"count_limit": 500,
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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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"capabilities": [
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"TG",
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"VU",
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"Reasoning"
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],
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"modelAlias": "",
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"versionTag": "MAJOR",
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"maxOutputTokens": 1048576,
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"latestOnlineAt": "2026-07-17T08:23:12.000+00:00",
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"contextWindow": 1048576,
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"maxInputTokens": 1048576,
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"inferenceProvider": "moonshot-ai",
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"name": "kimi/kimi-k3",
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"docUrl": "https://bailian.console.aliyun.com/cn-beijing?tab=doc#/doc/?type=model&url=3021620",
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"category": "Third-party",
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"predictConfig": [
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{
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"name": "system",
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"key": "systemMessage",
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"tip": "系统人设，例如“你是一个AI助手”。"
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},
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{
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"name": "top_p",
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"key": "top_p",
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"default": 0.8,
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"tip": "控制核采样方法的概率阈值，取值越大，生成的随机性越高。",
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"range": [
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0.0001,
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1
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]
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},
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{
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"name": "temperature",
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"key": "temperature",
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"default": 0.7,
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"tip": "控制生成随机性和多样性，数值越高多样性越强，数值越低一致性越强，范围(0,2)。建议该参数和top_p只设置1个。",
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"range": [
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0,
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1.9999
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]
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}
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],
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"samples": {
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"openai": {
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"completionsAPI": {
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"curl": "curl --location 'https://dashscope.aliyuncs.com/compatible-mode/v1/chat/completions' \\\n--header \"Authorization: Bearer $DASHSCOPE_API_KEY\" \\\n--header 'Content-Type: application/json' \\\n--data '{\n \"model\": \"kimi/kimi-k3\",\n \"messages\": [\n {\n \"role\": \"user\",\n \"content\": [\n {\"type\": \"image_url\", \"image_url\": {\"url\": \"https://help-static-aliyun-doc.aliyuncs.com/file-manage-files/zh-CN/20241108/ctdzex/biaozhun.jpg\"}},\n {\"type\": \"text\", \"text\": \"请仅输出图像中的文本内容。\"}\n ]\n }]\n}'",
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"python": "import os\nfrom openai import OpenAI\n\nclient = OpenAI(\n api_key=os.getenv(\"DASHSCOPE_API_KEY\"),\n base_url=\"https://dashscope.aliyuncs.com/compatible-mode/v1\",\n)\n\ncompletion = client.chat.completions.create(\n model=\"kimi/kimi-k3\",\n messages=[\n {\n \"role\": \"user\",\n \"content\": [\n {\n \"type\": \"image_url\",\n \"image_url\": {\n \"url\": \"https://help-static-aliyun-doc.aliyuncs.com/file-manage-files/zh-CN/20241108/ctdzex/biaozhun.jpg\"\n },\n },\n {\"type\": \"text\", \"text\": \"请仅输出图像中的文本内容。\"},\n ],\n },\n ],\n)\nprint(completion.choices[0].message.content)",
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"nodejs": "import OpenAI from \"openai\";\n\nconst openai = new OpenAI({\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://dashscope.aliyuncs.com/compatible-mode/v1\"\n});\n\nasync function main() {\n const response = await openai.chat.completions.create({\n model: \"kimi/kimi-k3\",\n messages: [\n {\n role: \"user\",\n content: [{\n type: \"image_url\",\n image_url: {\n \"url\": \"https://help-static-aliyun-doc.aliyuncs.com/file-manage-files/zh-CN/20241108/ctdzex/biaozhun.jpg\"\n }\n },\n {\n type: \"text\",\n text: \"请仅输出图像中的文本内容。\"\n }\n ]\n }\n ]\n });\n console.log(response.choices[0].message.content);\n}\nmain()",
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"docUrl": "https://help.aliyun.com/document_detail/3021620.html"
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}
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}
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}
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},
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{
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"inferenceMetadata": {
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"response_modality": [
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"cache"
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],
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"provider": "moonshot-ai",
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"limit": {
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"message": "model not exist"
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},
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"model": "kimi/kimi-k2.7-code-highspeed",
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"prices": [
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{
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"priceUnit": "每百万tokens",
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"price": "13",
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"type": "input_token",
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"priceName": "输入"
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},
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{
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"priceUnit": "每百万tokens",
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"price": "54",
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"type": "output_token",
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"priceName": "输出"
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},
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{
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"priceUnit": "每百万tokens",
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"price": "2.6",
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"type": "input_token_cache",
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"priceName": "输入（缓存命中）"
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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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"cache"
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],
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"provider": "moonshot-ai",
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"limit": {
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"message": "model not exist"
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},
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"model": "kimi/kimi-k2.7-code",
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"prices": [
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{
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"priceUnit": "每百万tokens",
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"price": "6.5",
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"type": "input_token",
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"priceName": "输入"
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},
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{
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"priceUnit": "每百万tokens",
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"price": "27",
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"type": "output_token",
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"priceName": "输出"
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},
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{
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"priceUnit": "每百万tokens",
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"price": "1.3",
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"type": "input_token_cache",
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"priceName": "输入（缓存命中）"
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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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"cache"
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],
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"provider": "moonshot-ai",
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"limit": {
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"message": "model not exist"
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},
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"model": "kimi/kimi-k2.6",
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"prices": [
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{
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"priceUnit": "每百万tokens",
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"price": "6.5",
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"type": "input_token",
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"priceName": "输入"
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},
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{
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"priceUnit": "每百万tokens",
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"price": "27",
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"type": "output_token",
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"priceName": "输出"
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},
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{
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"priceUnit": "每百万tokens",
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"price": "1.1",
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"type": "input_token_cache",
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"priceName": "输入（缓存命中）"
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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": 6,
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"cache"
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],
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"provider": "moonshot-ai",
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"limit": {
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"message": "model not exist"
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},
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"model": "kimi/kimi-k2.5",
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"iconUrl": "https://img.alicdn.com/imgextra/i4/O1CN01KzHLBW1LISVEUaotl_!!6000000001276-2-tps-56-56.png",
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"prices": [
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{
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"priceUnit": "每百万tokens",
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"price": "4",
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"type": "input_token",
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"priceName": "输入"
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},
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{
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"priceUnit": "每百万tokens",
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"price": "21",
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"type": "output_token",
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"priceName": "输出"
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},
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{
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"priceUnit": "每百万tokens",
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"price": "0.7",
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"type": "input_token_cache",
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"priceName": "输入（缓存命中）"
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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": 6,

‎skills/bailian-docs-llm-wiki/models/groups/qwen-audio-realtime-flash.json‎

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],
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"modelAlias": "",
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"versionTag": "MAJOR",
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"maxOutputTokens": 4096,
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"latestOnlineAt": "2026-07-14T06:59:47.013+00:00",
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"contextWindow": 8192,
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"maxInputTokens": 4096,
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"maxOutputTokens": 8192,
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"latestOnlineAt": "2026-07-14T06:59:47.000+00:00",
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"contextWindow": 40960,
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"maxInputTokens": 16384,
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"inferenceProvider": "aliyun-bailian",
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"name": "千问实时语音对话大模型3.0（极速版）",
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"docUrl": "https://help.aliyun.com/document_detail/3041584.html",

‎skills/bailian-docs-llm-wiki/models/groups/qwen-audio-realtime-plus.json‎

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],
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"modelAlias": "",
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"versionTag": "MAJOR",
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"maxOutputTokens": 4096,
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"latestOnlineAt": "2026-07-14T06:59:43.526+00:00",
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"contextWindow": 8192,
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"maxInputTokens": 4096,
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"maxOutputTokens": 8192,
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"latestOnlineAt": "2026-07-14T06:59:43.000+00:00",
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"contextWindow": 40960,
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"maxInputTokens": 16384,
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"inferenceProvider": "aliyun-bailian",
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"name": "千问实时语音大模型 （标准版）",
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"docUrl": "https://help.aliyun.com/document_detail/3041584.html",

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