Cerebras vs Lyceum

Models run on the Cerebras Wafer-Scale Engine, which keeps model weights in on-chip SRAM to reach published speeds in the thousands of tokens per second

Chat Completions and Completions endpoints at api.cerebras.ai/v1, usable from the OpenAI SDKs or the Cerebras Python and TypeScript SDKs

Public endpoints serve unmodified open-weight models such as OpenAI GPT OSS and Qwen, with a documented policy of no pruning on hosted models

Configurable reasoning effort, streaming, structured outputs, parallel tool calling, and prompt caching across the catalog

Vision-capable models accept PNG and JPEG images alongside text

Private, provisioned endpoints on reserved capacity with fine-tuning, weight management, and additional model families, arranged through sales

API access to open-source models with pay-per-token pricing.

Reserved GPU capacity for production models ensuring low latency and high availability.

Run training jobs on GPUs without the need for infrastructure management.

Full root access to customizable GPU instances ready in seconds.

Support for configurations from 8 to 8,000 GPUs with InfiniBand connectivity.