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Google Gemini
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Gemini multimodal capability, native in your workflow
ActionFlows connects to Google Gemini — Google's flagship multimodal AI family spanning text, image, video, audio, and code understanding in a single model. Connect once with your Gemini API key, then drop Gemini 2.5 Pro, Gemini 2.5 Flash, and Gemini Nano into any flow as native steps.
Authentication, multimodal input handling, streaming, and function calling — all handled at the integration layer. For builders shipping workflows that span text, vision, video, or audio understanding under one model, this is the multimodal layer with Google's training scale behind it.
True multimodal, not text-with-attachments
Gemini was architected as multimodal from the start — text, image, video, audio, and code processed through a unified model rather than separate encoders glued together. This shows up in workflows requiring cross-modal reasoning: video understanding with timestamps, document analysis with embedded charts, audio with visual context.
For builders shipping workflows that span modalities, this is the model line where multimodal works as a first-class capability rather than a retrofitted feature.
Long context that stays usable end-to-end
- Gemini 2.5 Pro ships with up to 2M-token context window
- Needle-in-haystack retrieval validated on real production workloads
- Full video understanding with timestamp-grounded responses
- Multi-document synthesis across entire codebases or research corpora
- Native handling of audio, image, and video without pre-processing
Cost-performance frontier with Flash tier
Gemini 2.5 Flash delivers strong reasoning quality at meaningfully lower cost than competing frontier models — making high-volume agentic workflows, RAG pipelines, and reasoning chains economically viable at production scale. For workflows where you'd otherwise route between flagship and budget tiers, Flash often handles both.
For builders optimizing unit economics on high-volume products, this is the cost-performance tier that changed what's affordable to ship at scale.
Why Gemini
For workflows requiring multimodal understanding, long context, or aggressive cost-performance trade-offs, Gemini sits at the spot where Google's research investment and infrastructure scale show up as concrete product advantages.
The combination of true multimodal architecture, 2M-token context, and Flash-tier economics makes Gemini the right choice for builders shipping workflows that don't fit comfortably into the text-only frontier model category.
Multimodal flagship. Three production tiers.
Gemini 2.5 Pro
Current flagship multimodal reasoning. 2M-token context, native video understanding, and frontier-quality for complex workflows.
Gemini 2.5 Flash
Cost-performance tier with strong reasoning quality. The default choice for high-volume agentic workflows and RAG pipelines.
Gemini 2.5 Flash-Lite
Smallest and fastest tier for classification, routing, and high-throughput tasks at the lowest per-token cost.
Gemini Nano
On-device variant for edge inference. Privacy-preserving local AI for mobile and embedded workflows.
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