Cerebras
Fastest LLM inference engine powered by wafer-scale chips. Hosts Llama 3.1 (8B, 70B, 405B), Llama 4 Maverick 400B, and other open models with industry-leading throughput: Llama 4 Maverick 400B at 2,500+ tok/s, Llama 3.1 70B at 2,100 tok/s (8x faster than H200), Llama 3.1 405B at 969 tok/s. Pricing from ~$0.10/1M tokens (Llama 3.1 8B) to ~$0.60/1M (70B). OpenAI-compatible API with inference speeds up to 75x faster than major cloud providers.
Overview
| Category | Ai |
| Self-Hostable | No |
| On-Prem | No |
| Best For | startup, growth |
| Last Verified | 2026-02-13 |
Strengths & Weaknesses
Strengths:- performance
- cost
- Limited model selection beyond Llama family
- No fine-tuning or custom model training
- Limited enterprise features and SLAs
- Smaller ecosystem compared to OpenAI/Anthropic
When to Use
Best when:- Need absolute fastest inference for latency-critical applications
- High-volume inference where speed directly reduces costs
- Using Llama models and want maximum throughput
- Real-time applications requiring sub-second response times
- Need broad model selection beyond Llama
- Require enterprise compliance certifications and SLAs
- Need model fine-tuning or custom training
- Building production systems requiring dedicated support contracts