Gemini
Gemma
Google DeepMind
FreeGemini vs Gemma: Full Comparison (2026)
Gemini is google's multimodal ai deeply integrated with workspace. Gemma is google's lightweight open models - gemma 3 leads open-source benchmarks. Use the breakdown below to find the right fit for your needs.
This page presents factual information sourced from publicly available vendor documentation and product pages. AIHub does not endorse either product. The right tool depends on your specific use case, team, and requirements — we recommend evaluating both tools directly before making a decision.
Side-by-Side Overview
Pricing Model
Gemini
FreemiumGemma
FreeAPI Access
Gemini
AvailableGemma
Not availablePlatforms
Gemini
Web, iOS, Android, Google Workspace, API (AI Studio), Vertex AIGemma
WebIntegrations
Gemini
7 integrationsGemma
—Vendor
Gemini
GoogleGemma
Google DeepMindCategory
Gemini
Language ModelsGemma
Language ModelsLaunch
Gemini
Dec 6, 2023 (Gemini 1.0)Gemma
—Models
Gemini
Gemini 2.5 Pro, Gemini 2.5 FlashGemma
Gemma 3 27B, Gemma 3 12B| Feature | Gemini | Gemma |
|---|---|---|
| Pricing Model | Freemium | Free |
| API Access | Available | Not available |
| Platforms | Web, iOS, Android, Google Workspace, API (AI Studio), Vertex AI | Web |
| Integrations | 7 integrations | — |
| Vendor | Google DeepMind | |
| Category | Language Models | Language Models |
| Launch | Dec 6, 2023 (Gemini 1.0) | — |
| Models | Gemini 2.5 Pro, Gemini 2.5 Flash | Gemma 3 27B, Gemma 3 12B |
About Gemini
Gemini is Google's flagship AI model available in multiple sizes. Deep integration with Google Workspace (Docs, Sheets, Gmail) and native multimodal capabilities including image and video understanding.
Designed For
- Google Workspace automation
- Multimodal analysis
- Code generation
- Search augmentation
About Gemma
Gemma 3 (released Mar 2025) is Google DeepMind's family of open-source models available in 1B, 4B, 12B, and 27B parameter sizes. The 27B model leads open-source benchmarks outperforming Llama 3.3 70B at half the size. Features 128K context and multimodal support.
Designed For
- Local AI deployment
- Fine-tuning
- Research
- Edge devices
Strengths & Limitations
Gemini
Strengths
- Google integration
- Multimodal native
- Real-time search access
Limitations
- Variable quality vs GPT-4
- Privacy considerations
Gemma
Strengths
- Runs on consumer hardware
- Open weights
- Gemma 3 27B beats 70B models
- 128K context
- Multimodal (image input)
Limitations
- Smaller capability ceiling vs frontier models
- No official fine-tuning SLAs
Frequently Asked Questions
What is the difference between Gemini and Gemma?
Gemini is google's multimodal ai deeply integrated with workspace, while Gemma is google's lightweight open models - gemma 3 leads open-source benchmarks. Gemini is designed for Google Workspace users, Multimodal analysis; Gemma is designed for Language Models. The right fit depends on your specific requirements.
How do the pricing models compare?
Gemini is available under a Freemium model. Gemma is available under a Free model. Gemini's entry tier starts at $0/mo. Always verify pricing on each vendor's official website as it may change.
What integrations does each tool support?
Gemini integrates with Google Docs, Gmail, Google Sheets, Google Slides. Gemma integrates with various tools. Check each vendor's documentation for the full and current list.
How do I choose between Gemini and Gemma?
Consider your team's technical requirements, budget, existing tooling, and use case before deciding. We recommend signing up for free trials or demos of both tools where available, and consulting each vendor's documentation. AIHub provides this comparison for informational purposes only.
Feature Snapshot
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Data sourced from public vendor documentation. Pricing, features, and availability may change. Always verify on official vendor websites before making purchasing decisions. AIHub is not affiliated with any of the listed vendors.