Cerebras vs Novita AI: Token Pricing, Speed & Intelligence

Full comparison of Cerebras and Novita 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

Novita AI

Budget-friendly open-source inference with broad model selection

Novita AI offers some of the lowest per-token prices for open-weight model inference, making it attractive for high-volume or cost-sensitive workloads. They host Llama 3.3 and other popular models with a straightforward API compatible with the OpenAI SDK.

Cost-efficiencyBatch processingOpen-sourceHigh-volumeBudget workloads

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

Novita AI

Among the lowest per-token prices for open-weight models

Broad model selection including Llama 3.3 and others

OpenAI-compatible API

Good for high-volume batch workloads

Simple pricing structure

Less established than larger inference providers

Throughput and latency not optimised for real-time use

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.

Novita AI

Consistently among the lowest per-token prices for open-weight model inference — the go-to choice for cost-sensitive, high-volume workloads.

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.

Novita AI FAQs

How cheap is Novita AI?

Novita AI is among the most affordable inference providers for open-weight models, often offering lower prices than Together AI or Fireworks AI. Exact pricing varies by model — check their pricing page for current rates.

What models does Novita AI support?

Novita AI hosts Llama 3.3 70B and a broad selection of other open-weight models. Their catalog focuses on popular, widely-used models.

Is Novita AI good for production use?

Novita AI is well-suited for cost-sensitive production workloads where price is the primary concern. For latency-critical or high-reliability production use, providers like Fireworks AI or Together AI may be more appropriate.

Provider resources

Cerebras

Provider page Website Pricing Docs

Novita 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.

Novita AI — Budget-friendly open-source inference with broad model selection

Consistently among the lowest per-token prices for open-weight model inference — the go-to choice for cost-sensitive, high-volume workloads.

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

Novita AI

▸Among the lowest per-token prices for open-weight models
▸Broad model selection including Llama 3.3 and others
▸OpenAI-compatible API

Provider category context

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