Machine Learning · head-to-head
Groq vs TensorFeed
Groq runs open models such as Llama, Mixtral, and Gemma on its own LPU inference hardware, exposing them through a REST API that's a near drop-in replacement for the OpenAI chat completions endpoint. Pricing is pay-per-token and varies by model (roughly $0.05-$3 per million tokens), with a free API key available to get started and no separate infrastructure fee. The console also offers batch processing at a 50% discount and prompt-caching discounts for repeated context.
TensorFeed is a free, no-auth JSON API for AI-industry data: real-time model pricing, provider status/outage monitoring (polled every 2 minutes), AI news, and agent-activity feeds, plus an in-browser API playground for every free endpoint. It also publishes an x402-based Premium Agent API (USDC on Base, no accounts or keys) for ranked model-routing recommendations, and self-certifies under its own "Agent Fair-Trade" standard with Ed25519-signed receipts and code-enforced no-charge on failed calls. Live-checked in July 2026: the site, its free endpoints, and CORS support are all confirmed working.
| Groq | TensorFeed | |
|---|---|---|
| Authentication | API Key | None |
| Pricing | freemium | freemium |
| Formats | JSON | JSON |
| CORS | yes | yes |
| HTTPS | Yes | Yes |
TensorFeed needs no API key, while Groq requires API Key — pick TensorFeed to start without signup.