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Google Gemini is natively multimodal — trained on text, images, audio, video, and code all at once. Its context window reaches 1 million tokens, and it plugs directly into Google Workspace. If your team lives in the Google ecosystem, Gemini turns it into something much more powerful.

Context window
1M tokens
Pricing
Per-token
License
Proprietary

Gemini models compared

Model
Arena ELO ±CI
Rank
Votes
Context
$ / 1M in
$ / 1M out
License
Gemini 3.1 Pro Preview
1486.7 ±3.1
17
119196
1M tokens
2
12
Proprietary
Gemini 3 Flash
1472.8 ±4.3
40
31283
1M tokens
0.5
3
Proprietary
Gemini 3.5 Flash Lite
1456 ±4.6
65
33501
1M tokens
0.3
2.5
Proprietary
Data source:
· Data as of
25 Sep 2026
Learn more about the methodology

What Gemini is best at

Million-token context window
Gemini AI can take in roughly 1,500 pages of text or hours of video in a single request. You can feed it an entire codebase or a full-length book without breaking anything into chunks. No other widely available model works at this scale.
Native multimodal understanding
Google Gemini wasn't built as a text model with vision strapped on later. It processes text, images, audio, and video together from the ground up. That means it can follow a conversation across formats — describe a video scene, read a chart from a photo, or transcribe a recording — without awkward handoffs.
Deep Google Workspace integration
Gemini sits inside Gmail, Docs, Sheets, Slides, and Meet. It summarizes email threads, drafts documents from meeting transcripts, writes spreadsheet formulas, and builds presentations — all without leaving the apps your team already uses.

How to use Gemini via Setapp AI Gateway

One API, all models
Step 1
Access ChatGPT, Claude, Gemini, DeepSeek, Grok, Llama, Mistral, Qwen, Copilot-class models, and Perplexity through a single endpoint. One key, one integration, every model.
Transparent, unified pricing
Step 2
No surprise bills, no per-model accounts. Setapp Al Gateway consolidates billing across providers with clear per-token pricing and usage dashboards.
Smart routing
Step 3
Automatically route requests to the best model for each task — or choose manually. Optimize for cost, speed, or capability without changing your code.
Zero vendor lock-in
Step 4
Switch between models with a parameter change. Your integration stays the same. When a new model launches, it's available in your existing setup - no migration needed.

What people build with Gemini

extract
Long-document analysis and summarization
Upload research papers, contracts, or earnings reports and get summaries, extracted figures, or cross-document comparisons. The million-token window means you never have to split a document. Everything gets processed in a single pass.
ship
Video and multimedia processing
Gemini can watch hours of video, pull out key moments, generate transcripts, and write summaries. For content teams working with YouTube footage, training materials, or recorded meetings, it's the strongest model in this category.
refine
Workspace automation for teams
Turn meeting notes into email drafts, convert spreadsheet data into presentations, generate Sheets formulas from plain descriptions. Gemini works as an AI layer across Google Workspace, reducing the small manual tasks that eat up hours every week.
trust
Competitive research with grounded search
Google Search grounding lets Gemini pull real-time information and cite its sources. That makes it particularly useful for competitive monitoring, market research tools, and any application where you need fresh data.

Common questions

What is Google Gemini and how does it differ from GPT?
Gemini is Google's AI model family. Its biggest differences from GPT: a 1M token context window (vs. 200K), native video understanding, and built-in Google Workspace integration. ChatGPT offers more standalone features like custom GPTs and image generation. Gemini's strength is processing very large inputs and working inside Google's product suite.
Gemini AI — which version should I use via API?
Gemini offers two main tiers: Flash (fastest, most cost-effective — best for high-volume tasks and autonomous agents) and Pro (most capable — best for complex reasoning, advanced coding, and deep math, replacing the older Ultra tier). For most API use cases, Pro offers the best balance of capability and cost. Flash is ideal for real-time applications where speed matters more than depth.
Gemini vs ChatGPT — what are the key tradeoffs?
Gemini has the longer context (1M tokens), better video comprehension, and tighter Google Workspace ties. ChatGPT has the bigger plug-in ecosystem, better image generation, and custom GPTs. Pick based on where your team already works.
Can Gemini process video content?
Yes, and it goes beyond transcripts. You can upload a video and ask about visual elements, on-screen text, actions, or scene changes. That makes it practical for content moderation, accessibility audits, training material review, and similar tasks.
Is Gemini suitable for enterprise applications?
Google offers Gemini through Vertex AI with enterprise security, data residency controls, and no training on customer data. It holds SOC 2 and ISO 27001 certifications. Organizations already on Google Cloud can integrate it with their existing IAM and billing setup.

Browse the best Al models

Every large language model available through Setapp - in one chat, under one subscription. Click any model for benchmarks, pricing, sample prompts, and comparisons.

Integrate Google Gemini with Setapp AI Gateway

Access Gemini Flash and Pro via a single API endpoint. No Google Cloud account needed.

Al models for developers - one integration, every provider

Setapp Al Gateway gives your app access to all models listed above through a single OpenAl-compatible endpoint. No separate API keys, 
no provider
contracts, no billing logic to build.

Al models for developers - one integration,
every provider

Setapp Al Gateway gives your app access to all models listed above through a single OpenAl-compatible endpoint. No separate API keys, 
no provider contracts, no billing logic to build.