Cerebras vs Lepton AI: Token Pricing, Speed & Intelligence

Full comparison of Cerebras and Lepton 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.

Voice AIReal-time chatSpeedInteractive codingStreaming

Open-weight hostHosts open weights

Lepton AI

Serverless LLM inference with a developer-first API

Lepton AI offers serverless inference for popular open-weight models with a clean developer experience. Their platform supports Llama 3.3 and other leading open-source models with competitive per-token pricing and low-latency endpoints. A good choice for developers who want simple, scalable inference without infrastructure management.

Developer toolsServerlessOpen-sourcePrototypingCost-efficiency

Open-weight hostHosts open weights

Key metrics

Cheapest input ($/1M)

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Cheapest output ($/1M)

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Peak throughput

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Best latency (TTFT)

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Intelligence score

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Context window

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Live token pricing

Strengths & weaknesses

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

Competitive pricing for the throughput delivered

OpenAI-compatible API

Very limited model selection — only a few Llama variants

No vision or multimodal support

No fine-tuning capability

Lepton AI

Clean developer experience with minimal setup

Serverless — no infrastructure management

Competitive pricing on Llama 3.3 models

OpenAI-compatible API

Auto-scaling handles traffic spikes

Smaller model catalog than Together AI or Fireworks

Less established than larger inference providers

No fine-tuning support

Key differentiators

Cerebras

Cerebras delivers 4,500+ tokens/sec on Llama 3.1 8B — 10× faster than any GPU provider, enabling genuinely real-time AI applications.

Lepton AI

The simplest serverless inference API for open-weight models — minimal setup, auto-scaling, and a clean developer experience.

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.

Lepton AI FAQs

What models does Lepton AI support?

Lepton AI hosts Llama 3.3 70B and other popular open-weight models. Their catalog is focused on the most widely-used models rather than breadth.

How does Lepton AI pricing compare to competitors?

Lepton AI offers competitive pricing on Llama 3.3 70B, comparable to Together AI and Fireworks AI. Check their pricing page for current rates.

Is Lepton AI good for production workloads?

Lepton AI is suitable for production workloads with auto-scaling and serverless infrastructure. For very high-volume or latency-critical production use cases, Groq or Cerebras may offer better performance.

Provider resources

Cerebras

Provider page Website Pricing Docs

Lepton AI

Provider page Website Pricing Docs

Cerebras — Wafer-scale AI chips — 4,500 tokens/sec, the fastest inference on earth

Cerebras delivers 4,500+ tokens/sec on Llama 3.1 8B — 10× faster than any GPU provider, enabling genuinely real-time AI applications.

Lepton AI — Serverless LLM inference with a developer-first API

The simplest serverless inference API for open-weight models — minimal setup, auto-scaling, and a clean developer experience.

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

Lepton AI

▸Clean developer experience with minimal setup
▸Serverless — no infrastructure management
▸Competitive pricing on Llama 3.3 models

Provider category context

Cerebras is a inference api, founded in 2016. Lepton 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 Lepton 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.