使用Nvidia API比较AI模型：Qwen、DeepSeek、Seed-OSS和Nemotron
中级
这是一个自动化工作流，包含 11 个节点。主要使用 Set、Merge、Switch、Webhook、HttpRequest 等节点。 使用Nvidia API比较AI模型：Qwen、DeepSeek、Seed-OSS和Nemotron
前置要求
- •HTTP Webhook 端点（n8n 会自动生成）
- •可能需要目标 API 的认证凭证
分类
未分类
工作流预览
可视化展示节点连接关系，支持缩放和平移
导出工作流
复制以下 JSON 配置到 n8n 导入，即可使用此工作流
{
"id": "vwBMikFazJ8dTN7C",
"meta": {
"instanceId": "b91e510ebae4127f953fd2f5f8d40d58ca1e71c746d4500c12ae86aad04c1502",
"templateCredsSetupCompleted": true
},
"name": "使用 Nvidia API 比较 AI 模型：Qwen、DeepSeek、Seed-OSS 和 Nemotron",
"tags": [],
"nodes": [
{
"id": "2fd77eab-0817-4d39-a206-4506b5373765",
"name": "Webhook触发器",
"type": "n8n-nodes-base.webhook",
"position": [
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],
"webhookId": "6737b4b1-3c2f-47b9-89ff-a012c1fa4f29",
"parameters": {
"path": "6737b4b1-3c2f-47b9-89ff-a012c1fa4f29",
"options": {},
"httpMethod": "POST",
"responseMode": "responseNode"
},
"typeVersion": 2.1
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{
"id": "1f78059c-f7a8-493c-886e-05047d83a7b4",
"name": "便签",
"type": "n8n-nodes-base.stickyNote",
"position": [
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"parameters": {
"width": 864,
"height": 944,
"content": "# 使用 Nvidia API 比较 AI 模型：Qwen、DeepSeek、Seed-OSS 和 Nemotron"
},
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{
"id": "e7f74b77-470b-49e4-a191-577afda45296",
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"parameters": {
"color": 3,
"width": 1312,
"height": 784,
"content": "Emelia 触发器"
},
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},
{
"id": "8a0ca7d2-f4c0-4a95-9a7a-63c9d40ef77e",
"name": "格式化响应",
"type": "n8n-nodes-base.set",
"position": [
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"parameters": {
"options": {},
"assignments": {
"assignments": [
{
"id": "bbfd9a05-0e6c-44cf-80e2-2a79ecb3f67a",
"name": "choices[0].message.content",
"type": "string",
"value": "={{ $json.choices[0].message.content }}"
}
]
}
},
"typeVersion": 3.4
},
{
"id": "20e9c15e-cd3d-4624-8620-5e100081bab1",
"name": "发送聚合的 AI 模型响应",
"type": "n8n-nodes-base.respondToWebhook",
"position": [
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"parameters": {
"options": {}
},
"typeVersion": 1.4
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{
"id": "0b86c542-74ce-4456-b025-07025e6f57a7",
"name": "合并 AI 模型",
"type": "n8n-nodes-base.merge",
"position": [
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],
"parameters": {
"numberInputs": 4
},
"typeVersion": 3.2
},
{
"id": "556f837e-5958-4121-9142-f3a05b560190",
"name": "AI 模型路由器",
"type": "n8n-nodes-base.switch",
"position": [
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],
"parameters": {
"rules": {
"values": [
{
"conditions": {
"options": {
"version": 2,
"leftValue": "",
"caseSensitive": true,
"typeValidation": "strict"
},
"combinator": "and",
"conditions": [
{
"id": "8c79834b-efde-4096-8a97-687dbaac1eaa",
"operator": {
"type": "string",
"operation": "equals"
},
"leftValue": "={{ $json['AI Model'] }}",
"rightValue": "1"
}
]
}
},
{
"conditions": {
"options": {
"version": 2,
"leftValue": "",
"caseSensitive": true,
"typeValidation": "strict"
},
"combinator": "and",
"conditions": [
{
"id": "6f423cc4-08e3-41aa-8c5a-40a2d37a248d",
"operator": {
"name": "filter.operator.equals",
"type": "string",
"operation": "equals"
},
"leftValue": "={{ $json['AI Model'] }}",
"rightValue": "2"
}
]
}
},
{
"conditions": {
"options": {
"version": 2,
"leftValue": "",
"caseSensitive": true,
"typeValidation": "strict"
},
"combinator": "and",
"conditions": [
{
"id": "b8ba2c94-78d3-4325-8dda-e139d2dad24d",
"operator": {
"name": "filter.operator.equals",
"type": "string",
"operation": "equals"
},
"leftValue": "={{ $json['AI Model'] }}",
"rightValue": "3"
}
]
}
},
{
"conditions": {
"options": {
"version": 2,
"leftValue": "",
"caseSensitive": true,
"typeValidation": "strict"
},
"combinator": "and",
"conditions": [
{
"id": "0d1a15d3-047f-4489-896e-af2c079de4ae",
"operator": {
"name": "filter.operator.equals",
"type": "string",
"operation": "equals"
},
"leftValue": "={{ $json['AI Model'] }}",
"rightValue": "4"
}
]
}
},
{
"conditions": {
"options": {
"version": 2,
"leftValue": "",
"caseSensitive": true,
"typeValidation": "strict"
},
"combinator": "and",
"conditions": [
{
"id": "634191cd-73c9-4335-987b-93e07ba7ab0f",
"operator": {
"name": "filter.operator.equals",
"type": "string",
"operation": "equals"
},
"leftValue": "={{ $json['AI Model'] }}",
"rightValue": "5"
}
]
}
}
]
},
"options": {}
},
"typeVersion": 3.2
},
{
"id": "38a42944-835b-422c-b872-b20c8f899210",
"name": "查询 Qwen3-next-80b-a3b-thinking（阿里巴巴）",
"type": "n8n-nodes-base.httpRequest",
"position": [
304,
-832
],
"parameters": {
"url": "https://integrate.api.nvidia.com/v1/chat/completions",
"method": "POST",
"options": {},
"jsonBody": "={\n \"model\": \"qwen/qwen3-next-80b-a3b-thinking\",\n \"messages\": [\n {\n \"role\": \"user\",\n \"content\": \"{{ $('On form submission').item.json['Insert your Query'] }}\"\n }\n ],\n \"temperature\": 0.7,\n \"max_tokens\": 1024\n} ",
"sendBody": true,
"sendHeaders": true,
"specifyBody": "json",
"authentication": "genericCredentialType",
"headerParameters": {
"parameters": [
{
"name": "accept",
"value": "application/json"
}
]
}
},
"credentials": {
"httpBearerAuth": {
"id": "AM38cMMgmt5pCa3J",
"name": "Bearer YOUR_TOKEN_HERE"
}
},
"typeVersion": 4.2
},
{
"id": "0d948f27-f325-4776-88f5-17993c22f382",
"name": "查询 Bytedance/seed-oss-36b-instruct（字节跳动）",
"type": "n8n-nodes-base.httpRequest",
"position": [
304,
-640
],
"parameters": {
"url": "https://integrate.api.nvidia.com/v1/chat/completions",
"method": "POST",
"options": {},
"jsonBody": "={\n \"model\": \"bytedance/seed-oss-36b-instruct\",\n \"messages\": [\n {\n \"role\": \"user\",\n \"content\": \"{{ $json['Insert your Query'] }}\"\n }\n ],\n \"temperature\": 1.1,\n \"top_p\": 0.95,\n \"max_tokens\": 4096,\n \"thinking_budget\": -1,\n \"frequency_penalty\": 0,\n \"presence_penalty\": 0,\n \"stream\": false\n}",
"sendBody": true,
"specifyBody": "json",
"authentication": "genericCredentialType"
},
"credentials": {
"httpBearerAuth": {
"id": "81rXxn13x9fyoYSK",
"name": "Bearer YOUR_TOKEN_HERE Nvidia_bytedance/seed-oss-36b-instruct"
}
},
"typeVersion": 4.2
},
{
"id": "8fb1c1df-6544-4275-af67-c7f85b9fed92",
"name": "查询 Nvidia-nemotron-nano-9b-v2（英伟达）",
"type": "n8n-nodes-base.httpRequest",
"position": [
304,
-256
],
"parameters": {
"url": "https://integrate.api.nvidia.com/v1/chat/completions",
"method": "POST",
"options": {},
"jsonBody": "{\n \"model\": \"nvidia/nvidia-nemotron-nano-9b-v2\",\n \"messages\": [\n {\n \"role\": \"system\",\n \"content\": \"/think\"\n }\n ],\n \"temperature\": 0.6,\n \"top_p\": 0.95,\n \"max_tokens\": 2048,\n \"min_thinking_tokens\": 1024,\n \"max_thinking_tokens\": 2048,\n \"frequency_penalty\": 0,\n \"presence_penalty\": 0,\n \"stream\": true\n}",
"sendBody": true,
"sendHeaders": true,
"specifyBody": "json",
"authentication": "genericCredentialType",
"headerParameters": {
"parameters": [
{}
]
}
},
"credentials": {
"httpBearerAuth": {
"id": "De0YbIT8HKmoZ2QW",
"name": "Bearer YOUR_TOKEN_HERE"
}
},
"typeVersion": 4.2
},
{
"id": "d0e9668b-1c75-4e41-90ec-684abeae0d49",
"name": "查询 DeepSeekv3_1",
"type": "n8n-nodes-base.httpRequest",
"position": [
304,
-432
],
"parameters": {
"url": "https://integrate.api.nvidia.com/v1/chat/completions",
"method": "POST",
"options": {},
"jsonBody": "={\n \"model\": \"deepseek-ai/deepseek-r1\",\n \"messages\": [\n {\n \"role\": \"user\",\n \"content\": \"{{ $('On form submission').item.json['Insert your Query'] }}\"\n }\n ],\n \"temperature\": 0.6,\n \"top_p\": 0.7,\n \"frequency_penalty\": 0,\n \"presence_penalty\": 0,\n \"max_tokens\": 4096,\n \"stream\": true\n} ",
"sendBody": true,
"sendHeaders": true,
"specifyBody": "json",
"authentication": "genericCredentialType",
"headerParameters": {
"parameters": [
{
"name": "Accept",
"value": "application/json"
}
]
}
},
"credentials": {
"httpBearerAuth": {
"id": "C39RW210A9LPDPUu",
"name": "Bearer YOUR_TOKEN_HERE Nvidia_Deepseekv31"
}
},
"typeVersion": 4.2
}
],
"active": false,
"pinData": {},
"settings": {
"executionOrder": "v1"
},
"versionId": "34faee65-7df2-4012-93bf-50660415c2d2",
"connections": {
"Merge AI Model": {
"main": [
[
{
"node": "Format Response",
"type": "main",
"index": 0
}
]
]
},
"AI Model Router": {
"main": [
[
{
"node": "Query Qwen3-next-80b-a3b-thinking (Alibaba)",
"type": "main",
"index": 0
}
],
[
{
"node": "Query Bytedance/seed-oss-36b-instruct (Bytedance)",
"type": "main",
"index": 0
}
],
[
{
"node": "Query DeepSeekv3_1",
"type": "main",
"index": 0
}
],
[
{
"node": "Query Nvidia-nemotron-nano-9b-v2 (Nvidia)",
"type": "main",
"index": 0
}
],
[
{
"node": "Query Qwen3-next-80b-a3b-thinking (Alibaba)",
"type": "main",
"index": 0
},
{
"node": "Query Bytedance/seed-oss-36b-instruct (Bytedance)",
"type": "main",
"index": 0
},
{
"node": "Query Nvidia-nemotron-nano-9b-v2 (Nvidia)",
"type": "main",
"index": 0
}
]
]
},
"Format Response": {
"main": [
[
{
"node": "Send Aggregated AI Model Responses",
"type": "main",
"index": 0
}
]
]
},
"Webhook Trigger": {
"main": [
[
{
"node": "AI Model Router",
"type": "main",
"index": 0
}
]
]
},
"Query DeepSeekv3_1": {
"main": [
[
{
"node": "Merge AI Model",
"type": "main",
"index": 2
}
]
]
},
"Query Nvidia-nemotron-nano-9b-v2 (Nvidia)": {
"main": [
[
{
"node": "Merge AI Model",
"type": "main",
"index": 3
}
]
]
},
"Query Qwen3-next-80b-a3b-thinking (Alibaba)": {
"main": [
[
{
"node": "Merge AI Model",
"type": "main",
"index": 0
}
]
]
},
"Query Bytedance/seed-oss-36b-instruct (Bytedance)": {
"main": [
[
{
"node": "Merge AI Model",
"type": "main",
"index": 1
}
]
]
}
}
}常见问题
如何使用这个工作流？
复制上方的 JSON 配置代码，在您的 n8n 实例中创建新工作流并选择「从 JSON 导入」，粘贴配置后根据需要修改凭证设置即可。
这个工作流适合什么场景？
这是一个中级难度的通用自动化工作流。适合有一定经验的用户，包含 6-15 个节点的中等复杂度工作流
需要付费吗？
本工作流完全免费，您可以直接导入使用。但请注意，工作流中使用的第三方服务（如 OpenAI API）可能需要您自行付费。
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工作流信息
难度等级
中级
节点数量11
分类-
节点类型7
作者
Cheng Siong Chin
@cschinProf. Cheng Siong CHIN serves as Chair Professor in Intelligent Systems Modelling and Simulation in Newcastle University, Singapore. His academic credentials include an M.Sc. in Advanced Control and Systems Engineering from The University of Manchester and a Ph.D. in Robotics from Nanyang Technological University.
外部链接
在 n8n.io 上查看 →
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