Vergleich von KI-Modellen mit Nvidia API: Qwen, DeepSeek, Seed-OSS und Nemotron

Name: Vergleich von KI-Modellen mit Nvidia API: Qwen, DeepSeek, Seed-OSS und Nemotron
Rating: 4.5 (10 reviews)
Author: Cheng Siong Chin

Fortgeschritten

Dies ist ein Automatisierungsworkflow mit 11 Nodes. Hauptsächlich werden Set, Merge, Switch, Webhook, HttpRequest und andere Nodes verwendet. Vergleich von KI-Modellen mit Nvidia API: Qwen, DeepSeek, Seed-OSS und Nemotron

Voraussetzungen

•HTTP Webhook-Endpunkt (wird von n8n automatisch generiert)
•Möglicherweise sind Ziel-API-Anmeldedaten erforderlich

Verwendete Nodes (11)

Kategorie

Workflow-Vorschau

Visualisierung der Node-Verbindungen, mit Zoom und Pan

Webhook Trigger

Antwort formatieren

Aggregierte KI-Modellantworten senden

KI-Modell zusammenführen

KI-Modell-Router

Abfrage Qwen3-next-80b-a3b-thinking (Alibaba)

Abfrage Bytedance/seed-oss-36b-instruct (Bytedance)

Abfrage Nvidia-nemotron-nano-9b-v2 (Nvidia)

Abfrage DeepSeekv3_1

React Flow

Workflow exportieren

Kopieren Sie die folgende JSON-Konfiguration und importieren Sie sie in n8n

{
  "id": "vwBMikFazJ8dTN7C",
  "meta": {
    "instanceId": "b91e510ebae4127f953fd2f5f8d40d58ca1e71c746d4500c12ae86aad04c1502",
    "templateCredsSetupCompleted": true
  },
  "name": "Compare AI Models with Nvidia API: Qwen, DeepSeek, Seed-OSS & Nemotron",
  "tags": [],
  "nodes": [
    {
      "id": "2fd77eab-0817-4d39-a206-4506b5373765",
      "name": "Webhook Trigger",
      "type": "n8n-nodes-base.webhook",
      "position": [
        -144,
        -528
      ],
      "webhookId": "6737b4b1-3c2f-47b9-89ff-a012c1fa4f29",
      "parameters": {
        "path": "6737b4b1-3c2f-47b9-89ff-a012c1fa4f29",
        "options": {},
        "httpMethod": "POST",
        "responseMode": "responseNode"
      },
      "typeVersion": 2.1
    },
    {
      "id": "1f78059c-f7a8-493c-886e-05047d83a7b4",
      "name": "Notiz",
      "type": "n8n-nodes-base.stickyNote",
      "position": [
        -1072,
        -848
      ],
      "parameters": {
        "width": 864,
        "height": 944,
        "content": "# Compare AI Models with Nvidia API: Qwen, DeepSeek, Seed-OSS & Nemotron\n\n## Overview\n- Queries four AI models simultaneously via Nvidia's API in 2-3 seconds—4x faster than sequential processing. Perfect for ensemble intelligence, model comparison, or redundancy.\n\n\n## How It Works\n- Webhook Trigger receives queries\n- AI Router distributes to four parallel branches: Qwen2, SyncGenInstruct, DeepSeek-v3.1, and Nvidia Nemotron\n- Merge Node aggregates responses (continues with partial results on timeout)\n- Format Response structures output\n- Webhook Response returns JSON with all model outputs\n\n## Prerequisites\n\n- Nvidia API key from [build.nvidia.com](https://build.nvidia.com) (free tier available)\n- n8n v1.0.0+ with HTTP access\n- Model access in Nvidia dashboard\n\n## Setup\n\n1. Import workflow JSON\n2. Configure HTTP nodes: Authentication → Header Auth → `Authorization: Bearer YOUR_TOKEN_HERE`\n3. Activate workflow and test\n\n## Customization\n\nAdjust temperature/max_tokens in HTTP nodes, add/remove models by duplicating nodes, change primary response selection in Format node, or add Redis caching for frequent queries.\n\n## Use Cases\n\nMulti-model chatbots, A/B testing, code review, research assistance, and production systems with AI fallback.\n"
      },
      "typeVersion": 1
    },
    {
      "id": "e7f74b77-470b-49e4-a191-577afda45296",
      "name": "Notiz4",
      "type": "n8n-nodes-base.stickyNote",
      "position": [
        -192,
        -848
      ],
      "parameters": {
        "color": 3,
        "width": 1312,
        "height": 784,
        "content": ""
      },
      "typeVersion": 1
    },
    {
      "id": "8a0ca7d2-f4c0-4a95-9a7a-63c9d40ef77e",
      "name": "Antwort formatieren",
      "type": "n8n-nodes-base.set",
      "position": [
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        -544
      ],
      "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": "Aggregierte KI-Modellantworten senden",
      "type": "n8n-nodes-base.respondToWebhook",
      "position": [
        944,
        -544
      ],
      "parameters": {
        "options": {}
      },
      "typeVersion": 1.4
    },
    {
      "id": "0b86c542-74ce-4456-b025-07025e6f57a7",
      "name": "KI-Modell zusammenführen",
      "type": "n8n-nodes-base.merge",
      "position": [
        528,
        -576
      ],
      "parameters": {
        "numberInputs": 4
      },
      "typeVersion": 3.2
    },
    {
      "id": "556f837e-5958-4121-9142-f3a05b560190",
      "name": "KI-Modell-Router",
      "type": "n8n-nodes-base.switch",
      "position": [
        80,
        -576
      ],
      "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"
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                "combinator": "and",
                "conditions": [
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                    "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"
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                "combinator": "and",
                "conditions": [
                  {
                    "id": "0d1a15d3-047f-4489-896e-af2c079de4ae",
                    "operator": {
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                    "leftValue": "={{ $json['AI Model'] }}",
                    "rightValue": "4"
                  }
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              }
            },
            {
              "conditions": {
                "options": {
                  "version": 2,
                  "leftValue": "",
                  "caseSensitive": true,
                  "typeValidation": "strict"
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                "conditions": [
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                    "id": "634191cd-73c9-4335-987b-93e07ba7ab0f",
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                      "type": "string",
                      "operation": "equals"
                    },
                    "leftValue": "={{ $json['AI Model'] }}",
                    "rightValue": "5"
                  }
                ]
              }
            }
          ]
        },
        "options": {}
      },
      "typeVersion": 3.2
    },
    {
      "id": "38a42944-835b-422c-b872-b20c8f899210",
      "name": "Abfrage Qwen3-next-80b-a3b-thinking (Alibaba)",
      "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": "Abfrage Bytedance/seed-oss-36b-instruct (Bytedance)",
      "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": "Abfrage Nvidia-nemotron-nano-9b-v2 (Nvidia)",
      "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": "Abfrage 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": {
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    "d0e9668b-1c75-4e41-90ec-684abeae0d49": {
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}

Häufig gestellte Fragen

Wie verwende ich diesen Workflow?

Kopieren Sie den obigen JSON-Code, erstellen Sie einen neuen Workflow in Ihrer n8n-Instanz und wählen Sie "Aus JSON importieren". Fügen Sie die Konfiguration ein und passen Sie die Anmeldedaten nach Bedarf an.

Für welche Szenarien ist dieser Workflow geeignet?

Fortgeschritten

Ist es kostenpflichtig?

Dieser Workflow ist völlig kostenlos. Beachten Sie jedoch, dass Drittanbieterdienste (wie OpenAI API), die im Workflow verwendet werden, möglicherweise kostenpflichtig sind.