AI Tool Comparison
Cerebras Inference vs Groq
A side-by-side breakdown to help you pick the right tool for your workflow.
Cerebras Inference
Run Llama 70B at 1,800 tokens per second — 20x faster than GPU alternatives. The only inference provider where speed itself is the competitive moat.
Groq
Run Llama and Qwen on custom LPU chips for very low-latency, high-throughput inference at a fraction of typical GPU token costs. Reports of a $20B Nvidia asset acquisition surfaced in 2026, though Groq continues operating independently.
Bottom Line
Last reviewed: August 2026
Cerebras Inference (Models) and Groq (Developer Tools) come from different corners of the market, so this usually comes down to which job you're actually hiring a tool for, not a head-to-head on the same task. Cerebras Inference carries the higher rating (4.7 vs 4.6), but a gap that size rarely overrides a real workflow fit on its own.
Choose Cerebras Inference if…
Best for developers building real-time voice agents or interactive applications where inference speed is the bottleneck, and its edge is purpose-built wafer-scale chips deliver roughly 20 times faster inference than typical GPU-based providers. The fastest inference available by a wide margin, the model selection is a curated set, not the full open-source catalog.
Choose Groq if…
Best for developers building applications where response speed matters more than model selection breadth, and its edge is custom inference chips that generate tokens 10 to 25 times faster than typical GPU-based inference. A genuine speed advantage worth building around, the model selection is narrower than a general-purpose API.
| Attribute | Cerebras Inference | Groq |
|---|---|---|
| Category | Models | Developer Tools |
| Pricing | freemium | freemium |
| Pricing Detail | Free tier available / Pay-per-token | Free tier / pay-as-you-go from $0.05/M tokens |
| Rating |
Key Features
Cerebras Inference
- 1,800+ tokens/second on Llama 3.1 70B — fastest available
- Wafer-scale chip architecture eliminates inter-chip communication overhead
- Supports Llama 3.1, 3.3, DeepSeek R1, and Qwen models
- OpenAI-compatible API with streaming support
- Free tier for prototyping with no credit card required
- Real-time performance suitable for voice and interactive applications
Groq
- Very low-latency inference
- OpenAI-compatible API
- Popular open models hosted
- Generous free tier
Pros
Cerebras Inference
- •Fastest inference in the industry by a wide margin
- •Free tier is genuinely useful, not just a trial
- •OpenAI-compatible — drops into existing code immediately
Groq
- •Blazing fast responses
- •Easy drop-in API
- •Cost-effective
Cons
Cerebras Inference
- Model selection is limited to a curated set, not the full open-source catalog
- Purpose-built hardware means no custom model fine-tuning support
- Very high throughput can mask context window limitations
Groq
- Limited model selection
- Capacity constraints at peak