Last updated 06-27-2026
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Cerebras
Cerebras builds wafer-scale AI chips and runs one of the fastest LLM inference platforms available today. Its CS-2 and CS-3 systems power cloud APIs, dedicated private endpoints, and on-prem deployments for teams that need low-latency responses at production scale.
The Wafer-Scale Engine is a single chip 58 times larger than typical GPUs, designed specifically for training and inference workloads. On the cloud side, developers call open models like Llama, Qwen, GLM, and GPT OSS through a simple API key, with throughput that routinely hits thousands of tokens per second on supported models.
Cerebras serves AI-native startups, enterprise research teams, and global companies across healthcare, cybersecurity, and drug discovery. Customers include OpenAI, Meta, GSK, Notion, and Mayo Clinic. You can start free on the inference API, scale through pay-as-you-go developer billing, or talk to sales for dedicated capacity and custom model weights.
Wafer-Scale Engine chip built 58x larger than standard GPUs
Cloud inference API with models like Llama, Qwen, GLM, and GPT OSS
Gemma 4 runs at 1,500+ tokens per second on Cerebras hardware
GPT OSS 120B hits roughly 3,000 tokens per second on the developer tier
Deploy on-prem with CS-2 or CS-3 for full data and model control
Partner integrations through AWS Marketplace, OpenRouter, Hugging Face, and Vercel
Free tier gives immediate API access to all Cerebras-powered models without a credit card.
Published inference speeds reach thousands of tokens per second on supported open models.
Flexible deployment options span cloud API, dedicated endpoints, and on-prem CS-2 or CS-3 systems.
Partner distribution through AWS Marketplace, OpenRouter, Hugging Face, and Vercel lowers integration friction.
Cerebras Code Pro and Max subscriptions were listed as sold out on the pricing page.
Enterprise pricing and dedicated capacity require contacting the sales team.
Preview models like GLM 4.7 are marked for evaluation only, not production use.
Does Cerebras offer a free inference API tier?
Yes. Cerebras provides a free tier that includes access to all Cerebras-powered models, fast inference, and community support through Discord. You can get an API key at cloud.cerebras.ai without entering payment details to start.
How much does the Cerebras Developer tier cost?
The Cerebras Developer tier uses self-serve pay-as-you-go billing starting at $10. It includes 10x higher rate limits than the free tier and higher priority processing. Token prices vary by model, such as $0.35 per million input tokens for GPT OSS 120B.
What is Cerebras Code and how much does it cost?
Cerebras Code is a coding-focused subscription with Pro at $50 per month (up to 24 million tokens per day) and Max at $200 per month (up to 120 million tokens per day). Both tiers were listed as sold out on the pricing page at the time of research.
Which models can I run on Cerebras inference?
Cerebras serves open models including GLM, OpenAI-compatible OSS models, Qwen, and Llama through its cloud API. The pricing page lists developer-tier access to models like ZAI GLM 4.7 and GPT OSS 120B with published per-token rates.
Can I deploy Cerebras on my own infrastructure?
Yes. Cerebras offers on-prem deployment with CS-2 and CS-3 systems for teams that need full control over models, data, and infrastructure in their own data center or private cloud.
How do I access Cerebras inference through third-party platforms?
Cerebras inference is available through partner APIs including AWS Marketplace, OpenRouter, Hugging Face Hub, and Vercel AI Gateway. Each partner provides its own onboarding flow while routing requests to Cerebras hardware.