Cerebras vs Stability AI: Token Pricing, Speed & Intelligence
Full comparison of Cerebras and Stability 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.
Stability AI
Open-weight image generation with Stable Diffusion
Stability AI is the creator of Stable Diffusion, the most widely used open-weight image generation model. Its API offers Stable Diffusion 3.5 Large and Stable Image Ultra for high-quality image generation.
Key metrics
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Live token pricing
Strengths & weaknesses
Cerebras
Stability AI
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.
Stable Diffusion models are open-weight and can be self-hosted, making them the most flexible option for teams that need full control over their image generation pipeline.
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.
Stability AI FAQs
What is Stable Diffusion?
Stable Diffusion is an open-weight text-to-image model developed by Stability AI. It can be run locally or accessed via the Stability AI API, and has spawned a large ecosystem of fine-tuned variants.
How does Stability AI compare to DALL-E 3?
DALL-E 3 generally produces more photorealistic and instruction-following images out of the box. Stable Diffusion offers more flexibility through open weights, fine-tuning, and self-hosting.
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.
Stability AI — Open-weight image generation with Stable Diffusion
Stability AI is the creator of Stable Diffusion, the most widely used open-weight image generation model. Its API offers Stable Diffusion 3.5 Large and Stable Image Ultra for high-quality image generation.
Stable Diffusion models are open-weight and can be self-hosted, making them the most flexible option for teams that need full control over their image generation pipeline.
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
Stability AI
- ▸Open-weight models available for self-hosting
- ▸Wide community and ecosystem
- ▸Competitive API pricing
Provider category context
Cerebras is a inference api, founded in 2016. Stability AI is a frontier lab, founded in 2020. Cerebras as an inference API provider hosts open-weight models — typically offering lower prices for equivalent capability tiers. Stability AI as a frontier lab trains and serves proprietary models with capabilities not available elsewhere.
How to choose between them
Choose Cerebras if you need 4,500+ tokens/sec on llama 3.1 8b — fastest inference available. Choose Stability AI if you need open-weight models available for self-hosting. For high-volume production workloads, run a cost comparison using the token pricing table above with your actual prompt/completion token ratio — the cheapest provider depends heavily on your input-to-output token ratio.