GoKawiilModels on Cerebras public endpoints are available on the free trial and pay-as-you-go tiers, subject to rate limits and pricing . For additional model families, reserved capacity, higher throughput, and production SLAs, see Dedicated Endpoints
New here? Follow the Quickstart to make your first API call. To pick a model by use case, see the model selection guide . Select any model name below for full specs, capabilities, and per-tier limits.
Available Models
Model Name Model ID Parameters Context (free / paid) Speed (tokens/s) OpenAI GPT OSS gpt-oss-120b 120 billion 65k / 131k ~3000 Qwen 3.8 27B qwen-3.8-27b 27 billion 64k / 128k ~1500
Looking for more models? Many additional model families are available through Dedicated Endpoints
Model Compression
This section provides transparency about the compression state of each model available on our platform.
We host a variety of open-source models from the community. We do not currently host pruned models on our public endpoints. All models served through our public endpoints are the original, unpruned versions.
All of our public models are unpruned. While we conduct research on pruning techniques like REAP (Router-weighted Expert Activation Pruning), these pruned models are shared with the research community on Hugging Face but are not available through our shared API. You can read more about REAP in our research blog
Cerebras uses selective weight-only quantization only during storage to preserve maximal quality. This means that the weights are stored in partial 16-bit / 8-bit / 4-bit, in-line with industry standards. For quality, sensitive layers are stored at full precision with dequantization on the fly, so operations are done in high precision. The activations, attention, and kv cache remain in full precision and unquantized.
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