Gemini

What Is Google Gemini?

Google Gemini is a family of multimodal generative AI models developed by Google DeepMind, built on a decoder-only transformer architecture. Led by CEO Demis Hassabis, with Josh Woodward heading the Gemini app and Jeff Dean as Chief Scientist, the Gemini family natively processes text, images, audio, video, and code within a single model.

As of March 2026, the active lineup includes Gemini 3.1 Pro (flagship, released February 19, 2026), Gemini 3 Flash (speed-optimized, December 17, 2025), Gemini 3.1 Flash-Lite (cost-efficient at scale, March 3, 2026), and Gemini 3 Deep Think (specialized reasoning variant, upgraded February 12, 2026). Google also offers the Nano variant for on-device processing on Pixel phones.

Notably, Google shut down Gemini 3 Pro Preview on March 9, 2026 to reallocate compute resources, directing users to migrate to 3.1 Pro.

Model Lineup and Benchmarks

#

Gemini 3.1 Pro (Flagship)

Released February 19, 2026, Gemini 3.1 Pro is the current flagship with a 1 million token context window. Key benchmarks:

• ARC-AGI-2: 77.1%
• GPQA Diamond: 94.3%
• ArXivMath: approximately 68–70%

It powers the Pro mode in the Gemini app and is the recommended model for complex reasoning, long-document analysis, and multimodal tasks.

#

Gemini 3 Flash (Speed-Optimized)

Released December 17, 2025, Flash prioritizes speed and cost-efficiency while maintaining frontier-class quality. However, the AA-Omniscience benchmark revealed a 91% hallucination rate when Flash lacks knowledge—meaning it generates plausible-sounding but incorrect information rather than admitting uncertainty. This is a critical consideration for factual queries.

#

Gemini 3.1 Flash-Lite (Cost-Efficient)

Released March 3, 2026, Flash-Lite is the most cost-efficient model at 259 tokens/second output speed. Starting at $0.25 per million input tokens via API, it is designed for high-volume, latency-sensitive applications.

#

Gemini 3 Deep Think (Specialized Reasoning)

Deep Think is a separate specialized reasoning model, not an app mode. Upgraded February 12, 2026, it is available exclusively to AI Ultra subscribers ($249.99/month). Key achievements:

• Gold-medal performance on 2025 International Olympiads in math, physics, and chemistry
• FrontierMath: 29% on Tiers 1–3, 10% on Tier 4 (results from Gemini 2.5 Deep Think)

#

Nano (On-Device)

The Nano variant runs directly on Pixel phones, enabling lightweight AI processing without cloud dependency.

The Gemini App: Three Modes

The consumer Gemini app offers three modes (not four—Deep Think is a separate model, not an app mode):

1. Fast — Quick responses for simple queries, powered by Flash models

2. Thinking — Balanced reasoning for moderate tasks

3. Pro — Maximum capability using Gemini 3.1 Pro for complex analysis

Users can switch between modes to match AI power to task complexity without manually selecting specific models.

Google Ecosystem Integration

Gemini's deepest advantage is its integration across the Google ecosystem:

• Google Workspace: AI-powered drafting, summarization, and analysis in Gmail, Docs, Sheets, and Slides (requires AI Pro or higher)
• Android Studio: Gemini Code Assist for code completion, debugging, and app development
• Jules Coding Agent: Autonomous coding agent available to AI Pro and Ultra subscribers
• Google Search: Powers AI Overviews and the new AI Mode for search results
• Chrome: Integrated assistance for browsing and summarization
• Pixel Devices: Nano variant for on-device AI features

Image and Video Generation

#

Image Generation (Nano Banana)

Gemini uses Nano Banana for consumer image generation in the app. API developers can access image generation through the gemini-2.5-flash-image and gemini-3-pro-image-preview models.

Known limitations:

• Strict safety filters frequently reject generic prompts (even simple ones like "a dog") due to IP and identity protection policies
• Identity preservation across prompts is inconsistent—generated faces may not maintain likeness
• Image limits vary by plan: 100/day (free), 50 Pro/day (AI Plus), up to 1,000 Pro/day (AI Ultra)

#

Video Generation (Veo)

Video generation is available through Veo, supporting up to 4K resolution. Access varies by subscription tier.

Pricing Breakdown

#

Consumer Plans

| Plan | Price | Key Features | |------|-------|--------------| | Free | $0 | Flash access, limited Pro, 100 Nano Banana images/day, 15GB storage | | AI Plus | $7.99/mo | More 3.1 Pro access, Deep Research, 50 Nano Banana Pro/day, 2 Veo/day, 200GB | | AI Pro | $19.99/mo | Full 3.1 Pro, Workspace integration, Jules agent, 100 Nano Banana Pro/day, 2TB | | AI Ultra | $249.99/mo | 3.1 Pro + Deep Think, Project Mariner, 1000 Nano Banana Pro/day, 30TB, YouTube Premium |

#

API Pricing

| Model | Input | Output | Notes | |-------|-------|--------|-------| | Gemini 3.1 Pro | $2.00/1M tokens | $12.00/1M tokens | Batch: 50% off; context caching available | | Gemini 3 Flash | $0.50/1M tokens | $3.00/1M tokens | Batch: $0.25/$1.50; audio: $1.00/1M | | Gemini 3.1 Flash-Lite | $0.25/1M tokens | $1.50/1M tokens | 259 tok/s; Batch: 50% off |

Known Issues and Limitations

1. Hallucination rate: Gemini 3 Flash shows a 91% hallucination rate when it lacks knowledge (AA-Omniscience benchmark). Use 3.1 Pro or Search grounding for factual queries.

2. Coding truncation: Users report output truncation and context loss in long coding sessions, attributed to aggressive chat history summarization. Some describe this as a regression from Gemini 2.5 Pro.

3. Safety filter over-rejection: Image generation prompts are frequently rejected by overly strict safety filters, even for innocuous requests.

4. Identity preservation: Generated images may not consistently maintain facial likeness across prompts.

5. Model discontinuation: Google shut down Gemini 3 Pro Preview on March 9, 2026, raising developer concerns about model stability.

6. Architecture opacity: Google does not disclose parameter counts or detailed MoE architecture for any Gemini models.

Enterprise Features

Gemini offers comprehensive enterprise compliance:

• SOC 2, ISO 27001, ISO 42001 certifications
• HIPAA compliance with BAA available
• GDPR compliant with US and EU data residency
• FedRAMP High and HITRUST CSF certifications
• PCI DSS compliance
• VPC Service Controls, admin console, RBAC, CMEK, SCIM, audit logs, and usage analytics
• 99.9% uptime SLA with dedicated support channels

Verdict

Google Gemini is the most ecosystem-connected AI assistant available, with unmatched integration across Workspace, Android, Search, and Chrome. The 3.1 Pro flagship competes at the frontier with 77.1% ARC-AGI-2 and 94.3% GPQA Diamond, while Flash-Lite offers exceptional value at 259 tok/s for $0.25/1M input tokens.

However, the 91% hallucination rate on Flash, aggressive safety filters, coding truncation issues, and the abrupt shutdown of 3 Pro Preview are real concerns. AI Ultra at $249.99/month is dramatically more expensive than competing subscriptions.

Choose Gemini if you live in the Google ecosystem and want deep Workspace/Android integration. Look elsewhere if you need maximum transparency, unfiltered image generation, or the most reliable factual responses from speed-optimized models.