ActionMistral AIUpdated September 2026

What Mistral models are available?

Short answer: You can list mistral models in Mistral AI by hand from its own interface, but it won’t repeat itself. On TinyCommand, add the Mistral AI List Mistral 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.

List Mistral Models in Mistral AI — start free All 6 Mistral AI actions

List Mistral Models in Mistral AI — start free

Sample request

{}

Returns

{
  "data": [
    {
      "id": "mistral-large-latest",
      "object": "model",
      "created": 1712835600,
      "owned_by": "mistralai"
    }
  ]
}

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

Triggered by

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

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

Google Sheets → Mistral AI

2 Google Sheets triggers

HubSpot → Mistral AI

18 HubSpot triggers

FAQ

Questions about List Mistral Models.

What does the List Mistral Models action do in Mistral AI?

Returns the Mistral model catalog. Pin specific versions for reproducibility; "latest" aliases float as Mistral ships new generations.

What inputs does List Mistral Models require?

List Mistral 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 Mistral AI returns an error?

The run history shows the failed step with its input and the error message Mistral AI returned, so you can fix the input and run the workflow again. Automatic retries are built into HTTP steps only, where you can also set your own retry count and delay.

Does List Mistral Models support batch operations?

Run List Mistral Models inside a loop to process each item in an array. TinyCommand does not throttle calls for you, so for large arrays add a Delay step if you need to stay within Mistral AI's rate limits.

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