Cerebras vs OpenRouter: Token Pricing, Speed & Intelligence

Full comparison of Cerebras and OpenRouter — 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

OpenRouter

One API for every major LLM — route to the cheapest or fastest provider automatically

OpenRouter is a unified LLM API that routes requests to the cheapest or fastest available provider for any given model. With a single API key you can access GPT-4o, Claude, Llama, Gemini, and hundreds of other models, with automatic fallback and cost optimisation.

Multi-model applicationsCost optimisationProvider fallbackPrototypingModel comparison

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

OpenRouter

Single API for 200+ models across all major providers

Automatic routing to cheapest or fastest provider

Fallback and load balancing built in

OpenAI-compatible API

Free tier with rate-limited access to many models

Adds a small latency overhead vs direct provider APIs

Pricing is slightly above direct provider rates (routing fee)

Less control over which specific provider handles your request

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.

OpenRouter

The only API that lets you access every major LLM with a single key and automatically routes to the cheapest or fastest available provider.

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.

OpenRouter FAQs

How does OpenRouter pricing work?

OpenRouter charges the underlying provider rate plus a small routing fee (typically a few percent). For many models, the effective price is very close to or equal to the direct provider rate. Some models are available for free with rate limits.

What models are available on OpenRouter?

OpenRouter provides access to 200+ models including GPT-4o, Claude 3.5 Sonnet, Llama 3.3 70B, Gemini 1.5 Pro, DeepSeek R1, Mistral, and many others. The catalog is updated as new models are released.

Can I use OpenRouter with the OpenAI SDK?

Yes. OpenRouter is fully OpenAI-compatible. Point the OpenAI SDK at the OpenRouter endpoint and use your OpenRouter API key — no other code changes needed.

Provider resources

Cerebras

Provider page Website Pricing Docs

OpenRouter

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.

OpenRouter — One API for every major LLM — route to the cheapest or fastest provider automatically

The only API that lets you access every major LLM with a single key and automatically routes to the cheapest or fastest available provider.

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

OpenRouter

▸Single API for 200+ models across all major providers
▸Automatic routing to cheapest or fastest provider
▸Fallback and load balancing built in

Provider category context

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