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- Count Gemini Tokens
ActionGoogle GeminiUpdated May 2026
How do I count tokens for a Gemini prompt?
Short answer: Drop the "Google Gemini → Count Gemini Tokens" action anywhere in your workflow, map the inputs from upstream nodes, and publish.
Inputs
The fields this action accepts.
Every field can be mapped from an upstream trigger, AI step, table row, or hard-coded literal.
| Field | Type | Required | Description |
|---|---|---|---|
Model model | options | Required | Model. Options: Gemini 2.5 Pro, Gemini 2.5 Flash |
Text text | string | Required | Text (required) |
Sample request
{"model": "{{trigger.model}}","text": "{{trigger.text}}"}
Returns
{"totalTokens": 10}
Use these fields in downstream nodes for routing, logging, or error handling.
Triggered by
Apps that pair well as the trigger for Count Gemini Tokens.
Any of these apps can fire this action as part of a workflow.
FAQ
Questions about Count Gemini Tokens.
What does the Count Gemini Tokens action do in Google Gemini?
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.
What inputs does Count Gemini Tokens require?
Required: Model, Text. Every input accepts a static value or a variable from any upstream node in your workflow.
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 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 Count Gemini Tokens support batch operations?
Yes. Run Count Gemini Tokens inside a Loop node to process arrays. Tiny Command handles Google Gemini's rate limits automatically so you don't have to throttle manually.
More actions
Other Google Gemini actions.
Action
Gemini 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.
ActionList Gemini Models
Returns the current Gemini catalog with context windows and capabilities. For model-selection workflows that need to choose between pro/flash/ultra tiers.
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.
Send count gemini tokens from your workflows.
Triggered by anything in the catalog. Free tier available. No credit card.