Compare AI models with Nvidia API: Qwen, DeepSeek, Seed-OSS & Nemotron

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Important notice

This workflow is provided as-is. Please review and test before using in production.

1. Workflow Overview

Compare AI Models with Nvidia API: Qwen, DeepSeek, Seed OSS & Nemotron Overview Queries four AI models simultaneously via Nvidia's API in 2 3 seconds—4x faster than sequential processing. Perfect f...

Best for

Engineering automation workflows
AI Chatbot automation workflows
intermediate n8n builders looking for reusable templates

Tools used

n8n-nodes-base.webhook, n8n-nodes-base.stickynote, n8n-nodes-base.set, n8n-nodes-base.respondtowebhook, n8n-nodes-base.merge, n8n-nodes-base.switch, n8n-nodes-base.httprequest

Source and attribution

This workflow is cataloged by N8N Workflows and links back to its original n8n.io source page by Cheng Siong Chin.

Original n8n.io source

1.1 Workflow description

Title: Compare AI models with Nvidia API: Qwen, DeepSeek, Seed-OSS & Nemotron
Workflow name: Compare AI models with Nvidia API: Qwen, DeepSeek, Seed-OSS & Nemotron

Compare AI Models with Nvidia API: Qwen, DeepSeek, Seed-OSS & Nemotron

Overview

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.

How It Works

Webhook Trigger receives queries
AI Router distributes to four parallel branches: Qwen2, SyncGenInstruct, DeepSeek-v3.1, and Nvidia Nemotron
Merge Node aggregates responses (continues with partial results on timeout)
Format Response structures output
Webhook Response returns JSON with all model outputs

Prerequisites

Nvidia API key from build.nvidia.com (free tier available)
n8n v1.0.0+ with HTTP access
Model access in Nvidia dashboard

Setup

Import workflow JSON
Configure HTTP nodes: Authentication → Header Auth → Authorization: Bearer YOUR_API_KEY
Activate workflow and test

Customization

Adjust 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.

Use Cases

Multi-model chatbots, A/B testing, code review, research assistance, and production systems with AI fallback.

1.2 Logical Blocks

This catalog entry is organized from the workflow JSON. The node-level section below shows the executable blocks available for review before importing the template.

2. Block-by-Block Analysis

Block 1 - Webhook Trigger

Type / Role: n8n-nodes-base.webhook - webhook
Config choices: Version 2.1

Block 2 - Sticky Note

Type / Role: n8n-nodes-base.stickyNote - stickyNote
Config choices: Version 1

Block 3 - Sticky Note4

Type / Role: n8n-nodes-base.stickyNote - stickyNote
Config choices: Version 1

Block 4 - Format Response

Type / Role: n8n-nodes-base.set - set
Config choices: Version 3.4

Block 5 - Send Aggregated AI Model Responses

Type / Role: n8n-nodes-base.respondToWebhook - respondToWebhook
Config choices: Version 1.4

Block 6 - Merge AI Model

Type / Role: n8n-nodes-base.merge - merge
Config choices: Version 3.2

Block 7 - AI Model Router

Type / Role: n8n-nodes-base.switch - switch
Config choices: Version 3.2

Block 8 - Query Qwen3-next-80b-a3b-thinking (Alibaba)

Type / Role: n8n-nodes-base.httpRequest - httpRequest
Config choices: Version 4.2

Block 9 - Query Bytedance/seed-oss-36b-instruct (Bytedance)

Type / Role: n8n-nodes-base.httpRequest - httpRequest
Config choices: Version 4.2

Block 10 - Query Nvidia-nemotron-nano-9b-v2 (Nvidia)

Type / Role: n8n-nodes-base.httpRequest - httpRequest
Config choices: Version 4.2

Block 11 - Query DeepSeekv3_1

Type / Role: n8n-nodes-base.httpRequest - httpRequest
Config choices: Version 4.2

3. Summary Table

Workflow	Compare AI models with Nvidia API: Qwen, DeepSeek, Seed-OSS & Nemotron
Complexity	intermediate
Nodes	11
Categories	Engineering, AI Chatbot
Author	Cheng Siong Chin
Published	05 Oct 2025

4. Reproducing the Workflow from Scratch

1. Download the workflow JSON

Use the JSON export at /data/workflows/9283/9283.json as the source template for this automation.
2. Import the template into n8n

Open n8n, import the downloaded JSON, and review each node before activating the workflow.
3. Configure credentials and variables

Replace placeholder credentials, API keys, webhook URLs, account IDs, and environment-specific values with your own settings.
4. Test with sample data

Run the workflow manually or in a staging workspace, inspect node output, and confirm downstream systems receive the expected data.
5. Activate and monitor

Enable the workflow only after testing, then monitor executions, errors, and rate limits during the first production runs.

5. General Notes & Resources

Review imported nodes carefully before activation. This catalog entry is intended to help you inspect the workflow structure, understand required services, and find related templates faster.

Node names, credentials, schedules, webhook paths, and external service limits may need adjustment for your workspace.

Download workflow JSON Original n8n.io source Engineering workflows AI Chatbot workflows

Frequently asked questions

What does Compare AI models with Nvidia API: Qwen, DeepSeek, Seed-OSS & Nemotron do?

What do I need before importing this workflow?

Review the workflow JSON, configure any required credentials in n8n, and test the automation in a safe workspace before using it in production.

Can I customize this workflow?

Yes. Use the block-by-block analysis and the downloadable JSON to inspect each node, then adjust credentials, prompts, schedules, filters, or destinations for your Engineering, AI Chatbot use case.

Cheng Siong Chin

203 workflows

Nodes

n8n-nodes-base.webhook n8n-nodes-base.stickynote n8n-nodes-base.set n8n-nodes-base.respondtowebhook n8n-nodes-base.merge n8n-nodes-base.switch n8n-nodes-base.httprequest

Complexity

intermediate

Published 05 Oct 2025

Likes 0

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Install path: /data/workflows/9283/9283.json

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Compare AI models with Nvidia API: Qwen, DeepSeek, Seed-OSS & Nemotron

Workflow preview

Important notice

1. Workflow Overview

Best for

Tools used

Source and attribution

1.1 Workflow description

Compare AI Models with Nvidia API: Qwen, DeepSeek, Seed-OSS & Nemotron

Overview

How It Works

Prerequisites

Setup

Customization

Use Cases

1.2 Logical Blocks

2. Block-by-Block Analysis

Block 1 - Webhook Trigger

Block 2 - Sticky Note

Block 3 - Sticky Note4

Block 4 - Format Response

Block 5 - Send Aggregated AI Model Responses

Block 6 - Merge AI Model

Block 7 - AI Model Router

Block 8 - Query Qwen3-next-80b-a3b-thinking (Alibaba)

Block 9 - Query Bytedance/seed-oss-36b-instruct (Bytedance)

Block 10 - Query Nvidia-nemotron-nano-9b-v2 (Nvidia)

Block 11 - Query DeepSeekv3_1

3. Summary Table

4. Reproducing the Workflow from Scratch

1. Download the workflow JSON

2. Import the template into n8n

3. Configure credentials and variables

4. Test with sample data

5. Activate and monitor

5. General Notes & Resources

Frequently asked questions