Cerebras vs Together AI

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 Llama, DeepSeek, Qwen, and other leading open-source models

Pay-per-token API with OpenAI-compatible endpoints

LoRA and full fine-tuning with proprietary optimizations

Instant self-service or reserved dedicated clusters with H100, H200, B200, GB200, GB300 access

50% cost reduction for non-urgent inference workloads

Reserve dedicated capacity in throughput units (PTUs) with SLAs