
Cerebras
Ultra-fast LLM inference (20x faster) on proprietary wafer-scale hardware, transparent token and subscription pricing
Overview
Cerebras is an LLM inference provider specialized in ultra-fast speeds, claiming 20x faster than competitors, powered by proprietary wafer-scale hardware architecture (CS-2 systems custom). Access via transparent pay-as-you-go API (Developer tier from $10/month) or monthly Code subscriptions (Pro $50/month = 24M tokens/day allocation, Max $200/month = 120M tokens/day, currently sold out). Free tier: $5 permanent trial credits, access to all existing Cerebras models, community Discord support. Multi-platform access: AWS Marketplace, Vercel, OpenRouter, Hugging Face without needing separate proprietary accounts.
Cerebras offers no French-language interface and no dedicated French support. Complete API with multiple SDKs available. Major speed advantage measurable for compute-heavy workloads tolerating less model variety: if inference performance and ultra-low latency absolutely dominate over variety, Cerebras stands out distinctly vs competitors. Pricing and availability weakness: model catalog much more restricted vs Together (200+)/Fireworks (100+); only ~10-15 models supported currently. Code subscriptions currently sold out ("Currently sold out"), making forfait billing access difficult without direct pay-per-token API. Distributed multi-platform integration (AWS/Vercel/OpenRouter/Hugging Face) simplifies adoption without unique lock-in to Cerebras.
Our verdict
Best for dev teams of latency-critical apps (agents, streaming, real-time) who accept fewer model choices for major speed gains. Not for you if open model catalog or unlimited pay-per-token are priorities: Cerebras is niche performance, not generalist.