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Cerebras pricing
verified 2026-09-02Wafer-scale hardware serving open models at extreme token throughput — speed is the headline, price stays competitive.
data residency & retention
from Cerebras's own policies · verified 2026-09-02 · some facts not publishedHeadquarters
🇺🇸 United States (US)
Where inference runs
US
Cerebras discloses US inference datacenters (Santa Clara, Stockton, Dallas, Minneapolis, Oklahoma City) and markets inference as running entirely on US-based infrastructure; first European capacity is promised by end of 2026, not live today.
Region pinning
Enterprise plans only
The self-serve API has a single endpoint with no region selection; in-region residency claims apply to enterprise dedicated and on-prem deployments only.
Prompt retention
Not retained
Privacy policy states inputs and outputs for inference services are not retained ('never stored, logged, or reused'); no abuse-log carve-out or retention window is disclosed.
Trains on API data
No
Terms state the content license does not grant Cerebras the right to use service content for training or fine-tuning models.
Zero data retention
Available
Zero data retention is the stated platform default, not a separate toggle or paid tier.
current models · $ per 1M tokens
| Model | Input /1M | Cached in | Output /1M | Context |
|---|---|---|---|---|
GPT OSS 120B GPT-OSS | $0.35 | — | $0.75 | 131K |
Gemma 4 31B Gemma | $0.99 | — | $1.49 | 131K |
Cerebras totals · 1M in + 1M out
GPT OSS 120B
$1.10
Gemma 4 31B
$2.48
Cost of 1M input + 1M output tokens. Bar length is square-root scaled so cheap models stay visible next to premium ones.