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ActionCerebrasUpdated June 2026

Which Llama models does Cerebras serve?

Short answer: You can list cerebras models in Cerebras by hand from its own interface, but it won’t repeat itself. On TinyCommand, add the Cerebras List Cerebras Models action to a workflow, map its 0 inputs from any upstream app, and it runs automatically every time the trigger fires. No code, and a free tier to start.

Use this actionAll 2 Cerebras actions
Sample request
{}
Returns
{
  "data": [
    {
      "id": "llama-3.3-70b",
      "object": "model"
    }
  ]
}

Use these fields in downstream nodes for routing, logging, or error handling.

Triggered by

Apps that pair well as the trigger for List Cerebras Models.

Any of these apps can fire this action as part of a workflow.

Gmail → Cerebras
1 Gmail triggers
Slack → Cerebras
13 Slack triggers
Google Sheets → Cerebras
2 Google Sheets triggers
HubSpot → Cerebras
18 HubSpot triggers
FAQ

Questions about List Cerebras Models.

What does the List Cerebras Models action do in Cerebras?
Returns the current Cerebras-hosted model catalog — primarily Llama 3.1/3.3 variants. New models added as Cerebras expands their LPU-optimised lineup.
What inputs does List Cerebras Models require?
List Cerebras Models has no required inputs. Sensible defaults are applied if you leave fields blank.
Can I use dynamic inputs from earlier workflow nodes?
Yes. Any field on this action can pull values from upstream nodes, whether that's a form response, a trigger payload, an AI output, or a lookup result.
What happens if Cerebras returns an error?
The workflow pauses on the failed node, the error message is captured in the run log, and you can retry the run with one click. Auto-retry policies are configurable per workflow with exponential backoff up to 5 attempts.
Does List Cerebras Models support batch operations?
Yes. Run List Cerebras Models inside a Loop node to process arrays. TinyCommand handles Cerebras's rate limits automatically so you don't have to throttle manually.
More actions

Other Cerebras actions.

Action
Cerebras Chat Completion
Runs chat completion against Cerebras's custom-hardware-served Llama models. Extreme speed (1000-2000+ tokens/sec) is the value — for multi-step agent workflows, the latency win stacks meaningfully across calls.