Google Gemini
by Google
Multimodal family of large language models (LLMs) with native support for text, images, audio, and video.
Gemini 3 Series (Latest Generation)
Foundation & Variants
- Gemini 3.0 (Base Model) — Foundation architecture with three core upgrades
- Gemini 3 Pro — Flagship general-purpose model
- Gemini Flash — Fast, cost-efficient variants
- gemini-3-designer — Specialized design-focused variant
Latest Release
- Gemini 3.1 Pro (February 2026) — Latest frontier update with agentic vision
Premium Tier
- gemini-ultra — Enterprise premium model
Previous Generations
- Gemini 2.5 Series (Pro, Flash, Flash-Lite)
- Gemini 1.5 Series (Pro, Flash)
- Nano lineage (on-device models)
Pro vs. Flash Strategy
Gemini 3 Pro (Reasoning-First)
- Maximum reasoning depth for complex problems
- Superior performance on GPQA Diamond, Humanities exams
- Optimized for scientific analysis and planning
- Slower output but higher intelligence
- Suitable for strategic decisions and research
Gemini 3 Flash (Speed-First)
- Up to 3× faster output speed than Pro
- 90%+ performance on many tasks
- Superior on coding tasks (78% SWE-bench vs Pro’s lower %)
- ~3 pricing vs Pro’s higher costs
- Optimized for real-time, high-volume deployments
Core Features
- Native multimodality: process and reason over text, images, audio, video, and code in single model
- Unified architecture: genuine cross-modal reasoning (not stitched encoders)
- System 2 reasoning: slow, reflective thinking executed at high speed
- Hybrid Mixture-of-Experts: MoE architecture in Pro variants for higher capacity with efficiency
- 1M-token context: plans for 2M tokens in future releases
- Real-time audio: low-latency audio encoder and Live API for speech-to-speech
- Extended context caching: efficient processing of repeated contexts
- Workspace integration: Gmail, Docs, Sheets, Calendar, YouTube, Maps
- Google Search grounding: anchored to truthful, current data to reduce hallucinations
- Specialized variants: Code Assist, Design-focused, industry-specific offerings
- Deep Research: agentic browsing and summarization across web sources
Latest Innovation (3.1 Pro)
- Agentic Vision: Default capability for sophisticated step-by-step visual analysis
- Dynamic Thinking: Task-adaptive reasoning without manual configuration
- Code-Based Output: Animated SVG and interactive dashboard generation
- 77.1% on ARC-AGI-2: More than 2x improvement from Gemini 3 Pro
- Agentic Leadership: Leads most agentic benchmarks vs. competitors
Superpowers
Google Gemini is designed for tasks that require deep reasoning across long documents and multiple data modalities. It’s well suited for:
- High-context tasks like legal or scientific document analysis (process thousands of pages).
- Agentic code tasks: generate, refactor, and debug multi-file codebases; power IDE integrations (Gemini Code Assist).
- Multimodal applications: interactive image editing via chat, video-aware summarization, and combined media understanding.
- Research assistants that need web-browsing, memory across sessions, and integration with Google products.
- Cost-sensitive production deployments (Gemini 3.1 Pro at ~50% cost of Claude Opus 4.6).
Pricing
- Pricing varies by access method (Gemini API, Vertex AI, or Gemini Advanced subscriptions). Official pricing details should be checked on Google’s documentation and pricing pages for up-to-date information.
Notes & Sources
- Gemini product pages and Google AI blog (2024–2025)
- Gemini 3.1 Pro release (February 2026)
- Vertex AI and Gemini integration documentation
- Community writeups and benchmarking reports (LMArena, MMLU-Pro)