kitio.aiNVIDIA TensorRT vs Groq
A side-by-side look at pricing plans, free tiers, features, pros and cons, updated for 2026. NVIDIA TensorRT is completely free, while Groq is freemium.
At a glance
Best for
Category
Pricing model
Starting price
Free plan
Made by
Based in
Rating
Key features
- Inference compiler and runtime
- Layer and tensor fusion
- FP8, FP4, INT8 and INT4 quantization
- Model Optimizer
- Edge to data center deployment
- LPU-based inference
- OpenAI-compatible API
- Speech-to-text models
- Batch API
- Free developer tier
| Feature | NVIDIA TensorRT | Groq |
|---|---|---|
| Best for | SDK that compiles and optimizes models for fast inference on NVIDIA GPUs | Very fast inference API for open models on custom LPU chips |
| Category | Models & APIs | Models & APIs |
| Pricing model | Free | Freemium |
| Starting price | Free | See pricing page |
| Free plan | Yes, fully free | Yes |
| Made by | NVIDIA | Groq |
| Based in | United States | United States |
| Rating | No ratings yet | No ratings yet |
| Key features |
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Pricing compared
NVIDIA TensorRT is completely free, while Groq is freemium.
Free plan
Cheapest paid plan
Top plan
Free trial
3 plans
Free
Free
- Rate-limited API access
- For prototyping
Developer
Pay per token
- Higher rate limits
- Pay-as-you-go by model
Enterprise
Contact sales
- Dedicated capacity
- Enterprise support
Prices in USD, checked Oct 28, 2026 or later. Plans change often, so confirm on each tool's site before you buy.
Pros and cons
NVIDIA TensorRT
- Large latency and throughput gains
- Works with models from major frameworks
- Free to download
- Only runs on NVIDIA GPUs
- Engines must be rebuilt per GPU type
- Tuning precision takes expertise
Groq
- Extremely fast output
- Free tier without a card
- Low prices on small models
- Smaller model catalog
- Some models moved to enterprise pricing
- Rate limits on the free tier
Which one should you choose?
Choose NVIDIA TensorRT if you want:
- Large latency and throughput gains
- Works with models from major frameworks
- Free to download
Watch out: only runs on nvidia gpus.
Choose Groq if you want:
- Extremely fast output
- Free tier without a card
- Low prices on small models
Watch out: smaller model catalog.
NVIDIA TensorRT vs Groq FAQ
What is the difference between NVIDIA TensorRT and Groq?
NVIDIA TensorRT: SDK that compiles and optimizes models for fast inference on NVIDIA GPUs. Groq: Very fast inference API for open models on custom LPU chips. Both are models & apis tools.
Is NVIDIA TensorRT or Groq cheaper?
NVIDIA TensorRT is completely free, while Groq is freemium.
Do NVIDIA TensorRT and Groq have free plans?
NVIDIA TensorRT: Yes, fully free. Groq: Yes.
Who makes NVIDIA TensorRT?
NVIDIA TensorRT is made by NVIDIA, based in United States.
Who makes Groq?
Groq is made by Groq, based in United States.
Which should I choose, NVIDIA TensorRT or Groq?
Choose NVIDIA TensorRT if you value large latency and throughput gains and works with models from major frameworks. Choose Groq if you value extremely fast output and free tier without a card.