Cerebras Models
Wafer-scale inference with extreme tokens-per-second on open models.
GPT OSS 120B (Cerebras)
$0.35 / $0.75 per 1M tokens
Gemma 4 31B (Cerebras)
$0.99 / $1.49 per 1M tokens
GLM 4.7 (Cerebras)
$2.25 / $2.75 per 1M tokens
About Cerebras
Wafer-scale inference with extreme tokens-per-second on open models. Cerebras appears on CostUse as a provider of AI models with per-token pricing. This page groups the published catalog calculators so you can compare list rates, project monthly volume, and open each model with the public pricing source next to the figure.
There are 3 published models from Cerebras here. On a 70/30 mix, combined list rates run from $0.47 to $2.40 per 1 million tokens, with a median of $1.14. The largest listed context window in this group is 131,072 tokens. The most recent price check in this group is 2026-07-30.
Official Cerebras pricing page
Cerebras model pricing table
Figures below are list prices per 1 million tokens. The 70/30 mix is a planning default—switch the mix on each model calculator if your traffic is output-heavy.
| Model | Input / 1M | Output / 1M | Mixed 70/30 | Context | Verified |
|---|---|---|---|---|---|
| GPT OSS 120B (Cerebras) | $0.35 | $0.75 | $0.47 | 131,072 | |
| Gemma 4 31B (Cerebras) | $0.99 | $1.49 | $1.14 | 128,000 | |
| GLM 4.7 (Cerebras) | $2.25 | $2.75 | $2.40 | 128,000 |
How to read Cerebras API cost
Input and output almost never share the same rate. On chat and agent workloads, completion length often dominates the bill. Use each model’s volume bands (from a handful of tokens to tens of millions) to find where a mini or flash tier beats the flagship on cost per accepted result—not only on unit price.
When the source publishes cached input, the model calculator can switch to that rate. For stable system prompts and RAG with repeated documents, cache often moves monthly spend more than swapping models inside the same family.
Cerebras calculators in this catalog
The cards at the top of this page open each model’s full page: list price, interactive calculator, cost profile, and FAQs. Start with the scenario closest to your product, then compare across the rest of the Cerebras lineup.
Frequently asked questions about Cerebras
How many Cerebras models have calculators on CostUse?
There are 3 published models from Cerebras, each with input and output rates (when the source splits them), volume bands, and a link to the official pricing page.
Which Cerebras model has the lowest list cost in this catalog?
On a 70% input / 30% output mix, GPT OSS 120B (Cerebras) is the lowest-priced option in this group at $0.47 per 1 million tokens. Open the model calculator to stress-test your own mix.
Do Cerebras prices include discounts and taxes?
No. Calculators use public list rates. Annual commits, promo credits, regions, taxes, and commercial discounts are not baked into the figure—always confirm the source linked on the model card.
How should I plan a monthly budget with the Cerebras API?
Pick a model, estimate input and output tokens per request, multiply by requests per day and by 30. Compare flagship tiers with cheaper ones: classification and routing often clear quality bars on smaller models at a fraction of the cost.
When is the more expensive Cerebras tier worth it?
GLM 4.7 (Cerebras) sits near $2.40 per 1M tokens on a 70/30 mix, versus $0.47 on GPT OSS 120B (Cerebras). Use the high tier for long-horizon reasoning or fewer retries; keep the cheap tier for high volume and simple tasks.