Black Forest Labs vs Cerebras: Token Pricing, Speed & Intelligence
Full comparison of Black Forest Labs and Cerebras — live token pricing, latency, throughput, context window, strengths, weaknesses, and best use cases. Updated July 2026.
Black Forest Labs
FLUX — the new standard for image generation quality
Black Forest Labs created FLUX, a family of image generation models that have rapidly become the quality benchmark for open and commercial image generation. FLUX 1.1 Pro Ultra produces photorealistic images at high resolution.
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.
Key metrics
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Live token pricing
Strengths & weaknesses
Black Forest Labs
Cerebras
Key differentiators
FLUX 1.1 Pro Ultra produces some of the highest-quality AI images available, consistently outperforming Stable Diffusion and competing with Midjourney on photorealism benchmarks.
Cerebras delivers 4,500+ tokens/sec on Llama 3.1 8B — 10× faster than any GPU provider, enabling genuinely real-time AI applications.
Frequently asked questions
Black Forest Labs FAQs
What is FLUX?
FLUX is a family of image generation models from Black Forest Labs. FLUX.1 Dev and Schnell are open-weight; FLUX 1.1 Pro and Pro Ultra are commercial API models offering the highest quality.
How does FLUX compare to Stable Diffusion?
FLUX consistently outperforms Stable Diffusion 3.5 on image quality benchmarks, particularly for photorealism and prompt adherence. FLUX Schnell is also significantly faster than SD 3.5.
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.
Provider resources
Black Forest Labs — FLUX — the new standard for image generation quality
Black Forest Labs created FLUX, a family of image generation models that have rapidly become the quality benchmark for open and commercial image generation. FLUX 1.1 Pro Ultra produces photorealistic images at high resolution.
FLUX 1.1 Pro Ultra produces some of the highest-quality AI images available, consistently outperforming Stable Diffusion and competing with Midjourney on photorealism benchmarks.
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.
Key strengths compared
Black Forest Labs
- ▸State-of-the-art image quality
- ▸Open-weight dev/schnell variants
- ▸Fast inference on schnell model
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
Provider category context
Black Forest Labs is a frontier lab, founded in 2024. Cerebras is a inference api, founded in 2016. Black Forest Labs as a frontier lab trains and serves its own proprietary models. Cerebras as an inference API provider hosts open-weight models — typically offering lower prices for equivalent capability tiers but without access to proprietary frontier models.
How to choose between them
Choose Black Forest Labs if you need state-of-the-art image quality. Choose Cerebras if you need 4,500+ tokens/sec on llama 3.1 8b — fastest inference available. 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.