ActionGoogle GeminiUpdated September 2026
What Gemini models are available?
Short answer: You can list gemini models in Google Gemini by hand from its own interface, but it won’t repeat itself. On TinyCommand, add the Google Gemini List Gemini 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.
Sample request
{}
Returns
{"models": [{"name": "models/gemini-2.5-pro","displayName": "Gemini 2.5 Pro"}]}
Use these fields in downstream nodes for routing, logging, or error handling.
Triggered by
Apps that pair well as the trigger for List Gemini Models.
Any of these apps can fire this action as part of a workflow.
FAQ
Questions about List Gemini Models.
What does the List Gemini Models action do in Google Gemini?
Returns the current Gemini catalog with context windows and capabilities. For model-selection workflows that need to choose between pro/flash/ultra tiers.
What inputs does List Gemini Models require?
List Gemini 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 Google Gemini returns an error?
The run history shows the failed step with its input and the error message Google Gemini 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 Gemini Models support batch operations?
Run List Gemini 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 Google Gemini's rate limits.
More actions
Other Google Gemini actions.
Action
Count Gemini Tokens
Returns the token count for a prompt before submitting. Useful for "is this prompt too long for the context window?" pre-flight checks on long-document workflows.
ActionGemini Embed Content
Generates embeddings using text-embedding-004 or gemini-embedding-001. For RAG-pipeline vector generation in Google AI ecosystem workflows.
ActionGemini Generate Content
Runs a multimodal completion (text, images, video, audio) against Gemini models. Supports system instruction, tools/function-calling, JSON mode, configurable safety settings. The base hook for any Gemini-based LLM workflow.
ActionGenerate Image with Imagen
Generates images via Google's Imagen models. For workflows that need Google-AI-ecosystem image generation rather than going to Flux/Midjourney/DALL-E directly.
ActionUpload File for Gemini
Uploads a file to Gemini's Files API. Useful for media >20MB or when reusing the same file across multiple Generate Content calls. Files auto-delete after 48 hours.