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AI Tool Comparison
Cerebras Inference vs Gemma 3
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
Gemma 3
Superseded by Gemma 4 (April 2026) — Gemini-3-derived reasoning and agentic capability in five open sizes from 2B to 31B, running on phones, laptops, or servers with a 256K context window.
Models
free
Bottom Line
Cerebras Inference edges ahead on rating (4.7 vs 4.5), but the right pick still comes down to which workflow you're running.
Choose Cerebras Inference if…
Coding
Choose Gemma 3 if…
Models
| Attribute | Cerebras Inference | Gemma 3 |
|---|---|---|
| Category | Models | Models |
| Pricing | freemium | free |
| Pricing Detail | Free tier available / Pay-per-token | Free and open-weight (Apache 2.0) — now on Gemma 4 |
| 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
Gemma 3
- Open weights
- Multilingual and multimodal
- Multiple sizes
- Runs on single GPU
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
Gemma 3
- •High quality and open
- •Good documentation
- •Flexible sizes
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
Gemma 3
- Self-hosting expertise needed
- Behind frontier closed models