Cerebras vs OpenAI

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

Access to GPT-4o, GPT-4o mini, and other frontier language models

o1 and o3 series models with advanced reasoning capabilities for complex problems

Process text, images, audio, and video inputs with unified models

Structured outputs and tool use for building agents and workflows

Build AI assistants with code interpreter, file search, and custom tools

Customize models on your own data for specialized use cases