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Google’s Gemini models are built for a native multimodal experience, allowing agents to process text, images, audio, and video simultaneously. These models are available to use without any additional configuration.
Google’s flagship reasoning-first model, optimized for complex autonomous agent workflows and frontier-level problem solving.Use Cases:
  • High-precision autonomous agents and planning
  • Advanced scientific research and PhD-level reasoning
  • Complex multimodal analytics (analyzing hours of video/audio)
Highlights:
  • 1M+ token context window for deep information processing
  • Adaptive “Thinking” level for sophisticated logic
  • State-of-the-art performance in STEM and factual accuracy
A high-speed frontier model that delivers Pro-grade intelligence with the latency and cost of a Flash model.Use Cases:
  • Real-time agentic coding and “vibe-coding” tasks
  • Scalable interactive data visualization
  • Responsive in-game assistants and live customer bots
Highlights:
  • 3x faster than Gemini 2.5 Pro at a fraction of the cost
  • Exceptional tool-use and long-horizon task sequencing
  • Outperforms previous Pro models on SWE-bench coding evals
The high-capability thinking model designed for deep reasoning over vast datasets and complex codebases.Use Cases:
  • Analyzing entire code repositories or 1,000+ page documents
  • Multi-step technical and logical troubleshooting
  • Structured data extraction from messy, multimodal sources
Highlights:
  • Features a 1M token context window (expandable to 2M)
  • Superior “Computer Use” capabilities for UI interaction
  • Highly stable performance for long-context RAG
The versatile, efficient workhorse of the 2.5 series, balancing speed with controllable reasoning.Use Cases:
  • High-volume document summarization and email triage
  • Agentic workflows requiring frequent, fast tool-calls
  • Real-time multimodal search and retrieval
Highlights:
  • Controllable “Thinking Budget” to balance quality and latency
  • Native vision support for complex diagrams and charts
  • Excellent price-to-performance ratio for production scale
An ultra-low latency model built for massive scale and high-throughput interactive applications.Use Cases:
  • Instant query resolution and simple chat UX
  • High-frequency classification and moderation
  • Lightweight embedded AI for mobile and web apps
Highlights:
  • Optimized for maximum tokens-per-second
  • Maintains multimodal understanding at ultra-low cost
  • Ideal for tasks where speed is the absolute priority
A next-generation workhorse model designed specifically for the “agentic era” with built-in tool use.Use Cases:
  • General-purpose conversational agents
  • Real-time streaming applications via Multimodal Live API
  • Fast, cost-effective multimodal RAG pipelines
Highlights:
  • 2x faster processing speed compared to Gemini 1.5 Pro
  • Native 1M token context window
  • Built-in support for grounding and parallel tool execution
The most cost-effective entry point into the Gemini 2.0 ecosystem, streamlined for high-frequency tasks.Use Cases:
  • Simple Q&A and sentiment analysis
  • Metadata generation for large image/video libraries
  • High-volume, low-complexity automation tasks
Highlights:
  • Minimal computational resource requirements
  • Native multimodal input support (Text/Image/Video)
  • Industry-leading efficiency for basic inferencing needs
🌐 Did you know? Gemini models can process up to 1 hour of video or 1 million tokens in a single request, making them unrivaled for analyzing massive datasets in one go.