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Cerebras Review — Joute

Cerebras review. Ultra-fast wafer-scale inference for Llama and open-source models. Pricing, limits, alternatives.

J
The Jouster
Tests AI tools for real, from Paris
Updated
4 min read
Tool fact sheet
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Cerebras
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Cerebras in brief

Cerebras delivers the fastest inference speeds on the market using proprietary wafer-scale chips. Technically impressive, relevant when latency is the primary constraint.

  • PriceAPI à l'usage
  • CategoryCode
  • RecommendedYes

The essentials in 20 seconds

  • LLM inference platform on Cerebras proprietary wafer-scale chips
  • Inference speeds up to 10x faster than standard GPUs (2000+ tokens/second)
  • Access to Llama 3.3 70B, Llama 3.1 8B and other open-source models
  • Pricing: usage-based API, competitive on smaller models

Verdict: Cerebras is the fastest inference provider on the market. When latency is critical, it's hard to beat.

What is Cerebras

Cerebras Systems builds AI chips the size of an entire wafer (the largest chip in the world). This architecture enables extraordinary inference speeds: Llama 3.3 70B runs at over 2,000 tokens per second, while an H100 GPU generates 80 to 150 tokens per second.

Since 2024, Cerebras has offered a public API to access these capabilities.

Strengths

Unmatched speed

2,000+ tokens per second on Llama 70B. That's 15 to 25x faster than standard GPU APIs. For real-time chat applications, agents making hundreds of calls, or fast streaming, it's a decisive advantage.

Competitive pricing on fast models

The quality/speed/price ratio is excellent on the models they support. For use cases where speed matters more than absolute frontier model quality, Cerebras is often cheaper in effective usage.

OpenAI-compatible API

Cerebras's API is compatible with the OpenAI format. Migrate from existing code that calls OpenAI by changing a URL and a key.

Limits

Limited model catalog

Cerebras only supports a few Llama models. No access to GPT-4o, Claude, or Gemini. If you need frontier quality, Cerebras isn't the answer.

Limited context on some models

The context window is sometimes smaller than what standard GPU providers offer on the same models.

Pricing

  • Usage-based API
  • Llama 3.1 8B: $0.10 / 1M tokens
  • Llama 3.3 70B: $0.85 / 1M tokens
  • Generous free tier available

Alternatives

  • Groq for similarly high speed with LPU chips
  • Together AI for more available open-source models
  • Fireworks AI for fast inference with a large selection

Verdict

Cerebras is the right choice when generation speed is your main constraint. For agents making hundreds of calls, for real-time streaming, or to improve user experience with near-instant Llama responses, it's the option to test first.

FAQ

Does Cerebras support streaming?

Yes. Token streaming is available and is particularly impressive given the speeds.

What's the maximum context window?

128K tokens on the latest supported models. Check the documentation for the specific model you're using.

Is Cerebras available in Europe?

The API is available globally. Inference data passes through Cerebras data centers in the United States.

Can you fine-tune on Cerebras?

Not yet via the public API. Fine-tuning is available through enterprise partnerships.


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Screenshots Cerebras

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Cerebras homepage, code AI tool
Homepage
Cerebras pricing page: plans and rates
Pricing
Cerebras interface in use
In use 1
Cerebras dashboard view
In use 2
Cerebras in action, code AI tool
In use 3
Cerebras app screen
In use 4
The Jouster's verdict

Cerebras : 0/10.

Cerebras delivers the fastest inference speeds on the market using proprietary wafer-scale chips. Technically impressive, relevant when latency is the primary constraint..

Test Cerebras yourself

A free trial is available. Plan thirty minutes to form your own opinion.

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Cerebras

Pay-per-use API