Cerebras — Wafer-Scale AI Inference
Workload Suitability Matrix: Multi-Node Training: WSE-3 wafer-scale chip with 4TB transistors; 44GB on-chip SRAM per core eliminates memory bottleneck; not designed for distributed training workloads....
Hosted Models & Token Rates
| MODEL | TOKENS/SEC | INPUT /1M | OUTPUT /1M | FREE TIER | CONTEXT |
|---|---|---|---|---|---|
Llama 3.3 70B Instruct | 500 tok/s | $0.00 | $0.00 | 30 RPM / 14,400 RPD | 128K |
Competitor Comparison
| PROVIDER | MIN PRICE / HR | AVG TOKEN RATE | FREE TIER | BILLING | KEY ADVANTAGE |
|---|---|---|---|---|---|
| Cerebras | — | $0.00/1M | Limited free tier available; c... | per-token | ★ You are here |
| Groq | — | $0.00/1M | 30 requests per minute (RPM) f... | per-token | LPU Inference Engine |
Technical Nuances & Editorial Analysis
Workload Suitability Matrix: Multi-Node Training: WSE-3 wafer-scale chip with 4TB transistors; 44GB on-chip SRAM per core eliminates memory bottleneck; not designed for distributed training workloads. Spot Inference Prototyping: Verified developer tier with daily free quota; 450+ tok/s throughput; no credit card required. Persistent Production API: Enterprise features include dedicated wafer allocation and custom model deployment; extreme throughput for production serving; lowest possible latency at scale for large model serving.
Billing Granularity
per-token
How charges are calculated
Hidden Costs
Enterprise pricing requires direct contact; minimum commitments may apply
Watch out for these fees
Free Tier
Limited free tier available; check developer portal for current allocation
Credit requirements and caps
Best Use Case
Best for API-based LLM inference
Ideal workload profile