Cerebras Inference

What it is and who it's for

Cerebras Inference is cloud inference for open models running on their own wafer-scale chip (WSE), which delivers record generation speed and leaves GPU providers far behind. It's for engineers where responsiveness is critical: voice agents, live reasoning chains, agent pipelines where every extra token of waiting costs you. What stands out is that the independent Artificial Analysis benchmark repeatedly puts Cerebras at the top for speed on current open models.

Key features

• Extreme throughput on the WSE (hundreds to thousands of tokens/s on some models).
• OpenAI-compatible API — migrate by swapping the base URL and the key.
• A catalog of leading open models (Llama, Qwen, DeepSeek/distills, Kimi and others).
• Token streaming for an "instant" UX and fast reasoning answers.
• Especially valuable for long reasoning chains: it thinks out loud, quickly.
• A free tier for development.

Get started in 5 minutes

1. Sign up at cloud.cerebras.ai and grab an API key.
2. Call a model through the OpenAI-compatible endpoint:

curl https://api.cerebras.ai/v1/chat/completions \
  -H "Authorization: Bearer $CEREBRAS_API_KEY" \
  -H "Content-Type: application/json" \
  -d '{"model":"llama-3.3-70b","messages":[{"role":"user","content":"Hi"}]}'

3. Turn on "stream": true and measure time-to-first-token — the gap versus an average provider is obvious immediately.

When to use it, when not to

• ✅ Use it if latency is killing your UX (voice, agents, reasoning) and open models are good enough.
• ✅ Use it if you run long reasoning chains and want them to think fast.
• ❌ Skip it → DeepInfra or Together AI is better if price per token, not peak speed, is what decides.
• ❌ Skip it → OpenRouter is better if you need top proprietary models and a wide selection behind one key.

Honest pricing

There's a free tier with limits; paid usage is per token, and premium speed can cost more than average providers. Exact numbers are on the provider's site and keep changing.

Gotchas

• The model catalog is narrower than an aggregator's; the specific model you want may not be there.
• The free tier has rate limits; production needs a paid plan and quota monitoring.
• The speed is impressive, but the intelligence is capped by whichever open model you pick.
• It's a cloud: sensitive data leaves your perimeter — check your compliance requirements.

🤖 Prompt accelerator

"I'm building a <voice agent / reasoning pipeline> where minimal latency matters, and I'm going with Cerebras. Pick an open model from their catalog for my task and language <RU/EN>, show an OpenAI-compatible streaming request in <Python/Node>, suggest parameters and how to correctly measure time-to-first-token and tokens/s. Explain when the speed gain outweighs the higher price."