Compare AI models with Nvidia API: Qwen, DeepSeek, Seed-OSS & Nemotron
Ready for 3.0What this workflow does
This workflow has 9 nodes and runs when an HTTP POST request hits its webhook URL. It uses only n8n's built-in nodes. It also calls integrate.api.nvidia.com over HTTP.
How it runs
Trigger: When an HTTP POST request hits its webhook URL.
- AI Model Router (Switch): routes items into 5 branches
- Query Qwen3-next-80b-a3b-thinking (Alibaba) (HTTP Request): calls integrate.api.nvidia.com (POST)
- Query Bytedance/seed-oss-36b-instruct (Bytedance) (HTTP Request): calls integrate.api.nvidia.com (POST)
- Query DeepSeekv3_ (HTTP Request): calls integrate.api.nvidia.com (POST)
- Query Nvidia-nemotron-nano-9b-v2 (Nvidia) (HTTP Request): calls integrate.api.nvidia.com (POST)
- Merge: merges the data from its input branches
- Format Response (Edit Fields (Set)): sets 1 field: choices[0].message.content
- Send Aggregated AI Model Responses (Respond to Webhook): sends the response back to the webhook caller
HTTP calls to: integrate.api.nvidia.com
Before you upgrade to n8n 3.0
Nothing in this workflow is removed in n8n 3.0, so it should import and run after the upgrade.
Nodes used (6)
- Webhook
n8n-nodes-base.webhook - Edit Fields (Set)
n8n-nodes-base.set - Respond to Webhook
n8n-nodes-base.respondToWebhook - Merge
n8n-nodes-base.merge - Switch
n8n-nodes-base.switch - HTTP Request
n8n-nodes-base.httpRequest
From the author
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.…