Gemini
Google's AI assistant integrated with Workspace
Overall score
About
Gemini is Google's multimodal AI assistant integrated across Workspace apps like Gmail, Docs, Sheets, and Meet. It handles text, image, audio, and video inputs, offers Deep Research, and powers Gems (custom assistants) with access to Google's search and productivity ecosystem.
Best for: Best for SMEs already on Google Workspace who want AI baked directly into Gmail, Docs, and Meet.
Pricing
Free
- Monthly
- Free
- Annual /mo
- Free
- Billing
- flat
- Notes
- Gemini base model; image gen; basic research
AI Plus
- Monthly
- $8
- Annual /mo
- $8
- Billing
- flat
- Notes
- Entry tier; expanded Gemini access; storage
AI Pro
- Monthly
- $20
- Annual /mo
- $20
- Billing
- flat
- Notes
- Gemini 3 Pro; Deep Research; 2TB storage; Gemini in Workspace apps
AI Ultra
- Monthly
- $250
- Annual /mo
- $250
- Billing
- flat
- Notes
- Gemini 3.1 Pro; Deep Think; Veo 3.1; 25k AI credits/month
| Tier | Monthly | Annual /mo | Billing | Notes |
|---|---|---|---|---|
| Free | Free | Free | flat | Gemini base model; image gen; basic research |
| AI Plus | $8 | $8 | flat | Entry tier; expanded Gemini access; storage |
| AI Pro | $20 | $20 | flat | Gemini 3 Pro; Deep Research; 2TB storage; Gemini in Workspace apps |
| AI Ultra | $250 | $250 | flat | Gemini 3.1 Pro; Deep Think; Veo 3.1; 25k AI credits/month |
Startup offer
Included in hub programs
Key features
- Gemini 2.5 Pro reasoning
- Deep Research mode
- Gems custom assistants
- Workspace integration
- multimodal input
- image generation via Imagen
Integrations
Trust & compliance
- Stage range
- MVP → Growth
- Founded
- 2023
- Status
- active
- SOC 2
- yes
- GDPR
- yes
- Data residency
- global
- External rating
- 4.4 on G2 (260 reviews)
- Last verified
- Jun 2026
Reviews
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People who've discussed Gemini
See all people →Curated mentions from podcasts, posts, and public stacks. Editorial coverage; not endorsements.
Aaron Levie
Co-founder & CEO
Levie uses Gemini in his research-task rotation and benchmarks it against ChatGPT, Grok and Perplexity in his public stack discussions. He highlights long-context document analysis as a particular Gemini strength relevant to Box's content-platform use cases, and treats it as one of three or four default frontier-model choices for executive-level workflows.
Ali Ghodsi
Co-founder & CEO
Ali Ghodsi includes Google's Gemini in the Databricks supported-model set alongside GPT-5, Claude and Llama. Part of his deliberate multi-vendor stance: customers shouldn't pick a single model lab, they should pick the model that fits the task and let Databricks handle the data plumbing.
Allie K Miller
AI advisor; LinkedIn Top Voice
Miller reviews each Gemini release alongside ChatGPT and Claude for executive use cases on LinkedIn, with a particular focus on long-context document analysis where Gemini's context window is best-in-class. She positions Gemini as a serious frontier-model contender for business workflows rather than just a Google ecosystem play.
Andrew Ng
Founder; AI Educator
Andrew Ng treats Google's Gemini as one of the three frontier models alongside ChatGPT and Claude in his 'AI Prompting for Everyone' course. He hasn't said Gemini is his personal favorite, but he teaches founders to standardize on one of the three rather than locking in to a single vendor.
Aravind Srinivas
Co-founder & CEO
Srinivas confirmed Google Gemini is one of the 19 models Perplexity orchestrates, specifically for deep research workflows. He treats Gemini as the long-context research-grade option in Perplexity Computer's model-routing layer.
Ben Thompson
Founder; Editor
Thompson covers Gemini as the centrepiece of Google's AI strategy in multiple Stratechery essays. His December 2025 'Google, Nvidia, and OpenAI' essay analyzed Gemini 3's performance advantages over OpenAI's models, and his earlier 'Gemini and Google's Culture' piece treated Gemini as the strategic test of Google's organisational capacity to ship at frontier-model speed.