Cerebras vs Perplexity: Token Pricing, Speed & Intelligence

How fast is Cerebras inference?

Cerebras delivers 4,500+ tokens/second on Llama 3.1 8B — roughly 10× faster than GPU-based providers like Groq (1,200 t/s) or Together AI (350 t/s). This makes it the fastest inference option available.

What is a Cerebras wafer-scale chip?

The Cerebras CS-3 chip is fabricated on a single silicon wafer rather than individual dies. This gives it 900,000 AI cores and 44GB of on-chip SRAM, eliminating the memory bandwidth bottleneck that limits GPU inference speed.

What models does Cerebras support?

Cerebras currently supports Llama 3.1 8B and 70B, and Llama 3.3 70B. The model selection is intentionally limited — Cerebras focuses on delivering extreme speed on a curated set of models rather than broad catalog coverage.

What is Perplexity Sonar?

Sonar is Perplexity's family of search-augmented LLMs. Unlike standard LLMs, Sonar automatically searches the web and includes citations in every response. Sonar is available in standard and Pro (deep research) variants.

How much does Perplexity API cost?

Perplexity charges per 1M tokens plus a per-request fee for search operations. Check their pricing page for current rates as they vary by model and search depth.

When should I use Perplexity instead of GPT-4o?

Use Perplexity when your application needs real-time, verifiable information with citations — research tools, news summarisation, fact-checking, or any use case where accuracy on current events matters. For creative tasks, coding, or reasoning without web grounding, GPT-4o or Claude are better choices.