Cerebras vs Replicate: Token Pricing, Speed & Intelligence
Full comparison of Cerebras and Replicate — live token pricing, latency, throughput, context window, strengths, weaknesses, and best use cases. Updated July 2026.
Cerebras
Wafer-scale AI chips — 4,500 tokens/sec, the fastest inference on earth
Cerebras uses wafer-scale silicon (the CS-3 chip covers an entire silicon wafer) to deliver extraordinary inference throughput. Llama 3.1 8B runs at 4,500+ tokens/second — roughly 10× faster than GPU-based providers. This makes Cerebras uniquely suited for real-time applications, voice AI, and interactive coding assistants.
Replicate
Run open-source AI models with a simple API — no infrastructure required
Replicate is a platform for running open-source AI models via a simple API. It hosts thousands of community models including Llama, Stable Diffusion, Whisper, and more. Pay per prediction with no infrastructure to manage — ideal for prototyping and production inference.
Key metrics
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Live token pricing
Strengths & weaknesses
Cerebras
Replicate
Key differentiators
Cerebras delivers 4,500+ tokens/sec on Llama 3.1 8B — 10× faster than any GPU provider, enabling genuinely real-time AI applications.
The largest catalog of community AI models — if a model exists on Hugging Face, it's likely on Replicate. Unmatched for image, audio, and video model access.
Frequently asked questions
Cerebras FAQs
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.
Replicate FAQs
How does Replicate pricing work?
Replicate charges per prediction based on the compute time used. Pricing varies by model and GPU type. Text models are billed per token; image models per image. Some models are free with rate limits.
What types of models does Replicate support?
Replicate supports text (Llama, Mistral), image (Stable Diffusion, FLUX), audio (Whisper), video, and many other model types. It has one of the broadest model catalogs of any inference platform.
Can I deploy my own model on Replicate?
Yes. Replicate lets you package and deploy custom models using Cog, their open-source model packaging tool. Once deployed, your model gets a public API endpoint.
Provider resources
Cerebras — Wafer-scale AI chips — 4,500 tokens/sec, the fastest inference on earth
Cerebras uses wafer-scale silicon (the CS-3 chip covers an entire silicon wafer) to deliver extraordinary inference throughput. Llama 3.1 8B runs at 4,500+ tokens/second — roughly 10× faster than GPU-based providers. This makes Cerebras uniquely suited for real-time applications, voice AI, and interactive coding assistants.
Cerebras delivers 4,500+ tokens/sec on Llama 3.1 8B — 10× faster than any GPU provider, enabling genuinely real-time AI applications.
Replicate — Run open-source AI models with a simple API — no infrastructure required
Replicate is a platform for running open-source AI models via a simple API. It hosts thousands of community models including Llama, Stable Diffusion, Whisper, and more. Pay per prediction with no infrastructure to manage — ideal for prototyping and production inference.
The largest catalog of community AI models — if a model exists on Hugging Face, it's likely on Replicate. Unmatched for image, audio, and video model access.
Key strengths compared
Cerebras
- ▸4,500+ tokens/sec on Llama 3.1 8B — fastest inference available
- ▸Sub-50ms time-to-first-token for real-time applications
- ▸Wafer-scale chip architecture eliminates GPU memory bottlenecks
Replicate
- ▸Thousands of community models available instantly
- ▸Simple pay-per-prediction pricing
- ▸No infrastructure management
Provider category context
Cerebras is a inference api, founded in 2016. Replicate is a inference api, founded in 2021. Both are inference api providers — the comparison is primarily about pricing, model selection, and feature differentiation within the same tier.
How to choose between them
Both Cerebras and Replicate host open-weight models. The key differentiators are latency, throughput, and which specific model versions each provider offers. Check the speed metrics above — inference API providers often differ significantly on tokens-per-second for the same model. Pricing is typically competitive between them; availability of specific model versions (e.g., Llama 3.1 405B, DeepSeek V3) may be the deciding factor.