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Google

Google

Gemini family for multimodal AI

Visit Googledeepmind.googleMountain View, USA
About

Google DeepMind builds the Gemini family of multimodal models alongside specialized image and video models like Imagen and Veo. Gemini models excel at long-context reasoning and multimodal tasks across text, image, audio, and video.

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Models
7
on Renas
Categories
3
text, image, video
Latest
nano-banana-pro
Nov 2025
Best value
0.002
credits / word
Models

All 7 variants on Renas

ModelQualitySpeedPriceReleasedTry
nano-banana-pro
image
1220440 cr / imageNov 2025Try
veo-3.1-fast
video
10911168 cr / videoSep 2025Try
nano-banana
image
1180115 cr / imageAug 2025Try
imagen4-standard
image
1111150 cr / imageMay 2025Try
imagen4-fast
image
1081120 cr / imageMay 2025Try
Gemini 2.0 Flash
text
190.002 cr / wordFeb 2025Try
Gemini 1.5 Pro
text
160.05 cr / wordSep 2024Try
Strengths

What Google is best at

Capabilities aggregated across all 7 models.

Fast inference

Low-latency responses for real-time apps

Cost-efficient

Best-in-class price-to-quality ratio

Photorealistic output
Multimodal (vision)
Audio input
Video input
FAQ

Common questions about Google

Renas AI charges credits based on usage — included in every paid plan. Google's models on Renas range from 0.002 to 1168 credits per word. There's no separate API key or per-seat fee; your active Renas subscription covers all providers.

Use Google on Renas AI

One credit balance, no API keys, every provider in one workspace.

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Google Models on Renas AI — Gemini family for multimodal AI | Renas AI