Cerebras Inference (Llama etc.) is a Hosted from Cerebras (United States).
One-line fit: best used for Speed-sensitive workloads.
Key specifications
| Provider | Cerebras |
|---|---|
| Model | Cerebras Inference (Llama etc.) |
| Type | Hosted |
| Context window | Per model |
| Pricing (indicative) | API |
| Company category | Inference / Hardware |
| Region | United States |
| Official site | https://www.cerebras.ai |
Benchmarks and public standing
Very high TPS claims
Treat scores as directional. SWE-bench, Terminal-Bench, LMSYS Arena, Artificial Analysis, and vendor cards use different harnesses and are not always comparable 1:1. Re-check the latest official model card before decisions.
What this model is good at
Speed-sensitive workloads
This aligns with Cerebras’s broader strengths:
- Wafer-scale training
- Fast inference APIs
- Open model serving
Limitations and watch-outs
Not original frontier chat brand
- Rate limits, regional availability, and data retention policies vary by plan.
- Agent harness quality (Cursor, Claude Code, Codex, custom tools) can change outcomes more than raw model Elo.
- Open-weight availability (if any) is separate from hosted API quality and safety filters.
Ideal users
- Product engineers shipping features that match: Speed-sensitive workloads
- Teams standardizing on the Cerebras ecosystem
- Agent builders who need a Hosted
When to pick something else
- Cheaper volume: compare lower tiers from the same lab or open Chinese/EU alternatives.
- Maximum hard SWE thoughtfulness: compare Claude Fable-class and other coding flagships.
- Giant multimodal corpora / Workspace: compare Gemini-class models.
- Self-host / open weights: Llama, Qwen, DeepSeek, GLM, Mistral open lines.
Parent company
Cerebras – Wafer-scale engines for training and fast inference; hosts open models at high speed.
Related models from Cerebras
Data is curated for AIForumSphere model directory mid-2026 directional figures.
