Haloon vs Gemini: Which AI Platform Is Right for You in 2026?
Published on April 29, 2026
TL;DR: Gemini 3.1 Pro is the best model available for multimodal tasks, very long document analysis, and Google Workspace users. Haloon includes Gemini alongside Claude, GPT-5.5, and every other major model — for less than a Gemini Advanced subscription. If multimodal is your primary use case, Gemini's native interface has the edge. If you need Gemini for some tasks and Claude or GPT for others, Haloon gives you all of them for one price.
At a Glance
| Haloon | Gemini Advanced | |
|---|---|---|
| Price | €15/month | $19.99/month |
| Gemini 3.1 Pro | Yes, included | Yes (primary model) |
| Claude 4.7 Opus | Yes | No |
| GPT-5.5 | Yes | No |
| Context window | Gemini's 1M available | 1M tokens |
| Image analysis | Yes (via Gemini) | Yes, native |
| Video analysis | Yes (via Gemini) | Yes, native |
| Google Workspace integration | No | Deep integration |
| Image generation | GPT-Image, Flux, Nano Banana | Limited |
| NotebookLM | No | Yes |
Pricing
Gemini Advanced is $19.99/month. Haloon Discovery is €15/month — roughly 25% cheaper — and includes Gemini plus every other major AI model.
If you're comparing cost per model accessed, Haloon is significantly better value. The question is whether Gemini's native integrations (Google Workspace, NotebookLM) are worth the premium for your workflow.
Where Gemini Has a Clear Advantage
Google Workspace integration: Gemini embedded in Google Docs, Sheets, Gmail, and Drive is a genuine productivity multiplier for Google Workspace users. The inline assistance — writing in Docs, analyzing sheets, summarizing emails — isn't available through Haloon's interface.
NotebookLM: Google's source-grounded research tool has no equivalent in Haloon. For academic research or deep document analysis with full source attribution, NotebookLM is uniquely powerful.
Native multimodal depth: While Haloon gives you access to Gemini's multimodal capabilities via the API, the native Gemini interface has a more polished experience for image and video analysis — especially for iterating on visual analysis within a conversation.
1M context window at full depth: Gemini's massive context is best utilized in the native interface, which is optimized for long-document ingestion.
Where Haloon Has the Advantage
Writing and code quality. For tasks where you need the best output — blog posts, professional emails, complex code — Claude 4.7 Opus and GPT-5.5 are meaningfully better than Gemini. With Haloon, you use Gemini when it excels (multimodal, long documents) and switch to Claude for the rest.
Image generation. Gemini's image generation is limited compared to GPT-Image. At the time of writing, GPT-Image 2 is the best image generation model available. But it is almost 2x more expensive per token than Google's Nano Banana. Haloon gives you access to both models: depending on your cost and quality constraints, you can choose the most suitable one.
Total cost. At €15/month vs $19.99/month, Haloon is cheaper and gives you more models.
No Google dependency. For users who prefer not to consolidate all their AI data with Google, Haloon with European hosting is a cleaner privacy choice.
Who Should Use Gemini Advanced?
- You live in Google Workspace and want Gemini embedded in Docs, Sheets, and Gmail
- NotebookLM is a core part of your research workflow
- Video analysis is your primary AI use case
- You specifically need the 1M token context with the native interface
- You're comfortable with Google handling your AI data
Who Should Use Haloon?
- You want Gemini's capabilities alongside Claude and GPT
- You're not in the Google Workspace ecosystem
- Writing and code quality matter as much as multimodal
- You want image generation beyond Gemini's limited capabilities
- GDPR / European data hosting is a priority
Related comparisons
- Best Gemini Alternatives — full overview of Gemini alternatives
- ChatGPT vs Claude vs Gemini — detailed model benchmark comparison