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Lyzr supports multiple Gemini models from Google, optimized for tasks ranging from fast execution to advanced multimodal reasoning. These models are known for their strong performance in code generation, logical reasoning, and handling rich content like images and PDFs.
Experimental variant of the fastest Gemini 2.0 model, ideal for rapid prototyping where response time is critical.Use Cases:
  • Real-time chat interfaces
  • Autocomplete suggestions
  • Interactive UI agents
Highlights:
  • Extremely fast generation
  • Lower cost for bulk inference
  • Best for dynamic UIs
Lightweight variant optimized for mobile and low-latency server environments.Use Cases:
  • In-app assistants
  • Lightweight document scanning agents
  • Real-time summarization for mobile
Highlights:
  • Fast and affordable
  • Mobile-first inference design
  • Handles short context tasks well
High-performance model designed for low-latency inference and scalable deployment.Use Cases:
  • Customer service bots
  • Ticket triaging and classification
  • Real-time product recommendation engines
Highlights:
  • Faster than Pro with good quality
  • Lower cost for volume use
  • Great for production loads
An earlier version of the Gemini Flash line with optimized memory handling.Use Cases:
  • Summarizing internal reports
  • UI agents needing rapid analysis
  • CRM-based AI workflows
Highlights:
  • Balanced performance
  • Moderate cost, wide context support
  • Suitable for business logic flows
Flagship Google Gemini model with high-quality reasoning, long context handling (1M tokens), and superior multimodal capabilities.Use Cases:
  • Advanced RAG pipelines
  • Knowledge agents for technical domains
  • Multimodal document + image workflows
Highlights:
  • Long context window (up to 1M tokens)
  • Strong coding and logic tasks
  • High quality summarization and citations
⚙️ All Gemini models are ready to use inside Lyzr Studio and also available via the Lyzr REST API for scalable deployments.