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

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Created by: Cheng Siong Chin || cschin

Cheng Siong Chin

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Last update 2 days ago

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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

  1. Import workflow JSON
  2. Configure HTTP nodes: Authentication → Header Auth → Authorization: Bearer YOUR_API_KEY
  3. 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.