Cerebras vs Nebius AI: Token Pricing, Speed & Intelligence
Full comparison of Cerebras and Nebius AI — 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.
Nebius AI
European cloud AI — affordable open-source inference from ex-Yandex team
Nebius AI is a European cloud provider built by the team behind Yandex Cloud, offering GPU compute and LLM inference services. Their inference API hosts Llama and other open-weight models at competitive prices, with data centres in Europe for GDPR-compliant deployments.
Key metrics
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Live token pricing
Strengths & weaknesses
Cerebras
Nebius AI
Key differentiators
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.
Nebius AI FAQs
Is Nebius AI GDPR-compliant?
Yes. Nebius AI operates data centres in Europe (Amsterdam and other EU locations), making it a strong choice for European businesses with GDPR data residency requirements.
What models does Nebius AI offer?
Nebius AI hosts Llama 3.x and other popular open-weight models via their inference API. They also offer GPU compute for self-hosted model deployment.
Who built Nebius AI?
Nebius AI was founded by the team behind Yandex Cloud, one of Europe's largest cloud providers. They bring significant cloud infrastructure experience to the AI inference market.
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.
Nebius AI — European cloud AI — affordable open-source inference from ex-Yandex team
Nebius AI is a European cloud provider built by the team behind Yandex Cloud, offering GPU compute and LLM inference services. Their inference API hosts Llama and other open-weight models at competitive prices, with data centres in Europe for GDPR-compliant deployments.
European-native infrastructure with GDPR-compliant LLM inference and GPU compute from the same provider — ideal for EU businesses.
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
Nebius AI
- ▸European data centres — GDPR-compliant by default
- ▸Competitive pricing on open-weight models
- ▸GPU compute + LLM inference from one provider
Provider category context
Cerebras is a inference api, founded in 2016. Nebius AI is a inference api, founded in 2023. 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 Nebius AI 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.