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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.
Models
freemium
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.
Developer Tools
freemium
| 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 | ★ 4.7(1,600 reviews) | ★ 4.6(6,100 reviews) |
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