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Basic Overview

Lyzr integrates multiple OpenAI models designed to suit various AI workloads. These models differ in cost, latency, reasoning abilities, and input types (text, vision, etc.), making it easy to choose the right model based on your use case.
Multi-modal flagship model that supports text, image, and audio inputs. Offers GPT-4-level intelligence with lower latency and cost.Use Cases:
  • Vision + text-based RAG agents
  • Multi-modal chat assistants
  • Chart/image understanding
Highlights:
  • Vision + text
  • Lower latency than GPT-4-turbo
  • High reasoning quality
A smaller and faster variant of GPT-4o. Ideal for scalable applications where speed and cost are a priority.Use Cases:
  • High-traffic chatbots
  • Real-time feedback systems
  • Conversational UI at scale
Highlights:
  • Lightweight
  • Cost-efficient
  • Reasonably accurate
One of the most advanced models available with enhanced reasoning, better tool usage, and fewer hallucinations.Use Cases:
  • RAG pipelines with structured data
  • Analytical agents
  • Code generation and debugging
Highlights:
  • Available in Studio
  • Enhanced reasoning
  • Great for logic-heavy tasks
Experimental OpenAI models optimized for different types of applications. Suitable for early testing and feature validation.Use Cases:
  • Prototype agents
  • Research and testing
  • Tunable agent configurations
Highlights:
  • Experimental variants
  • Different sizes (mini/preview)
  • Fast iterations
Lightweight and coordination-aware model optimized for agent-based frameworks. Great for managing tasks in workflows.Use Cases:
  • Task-based agents
  • DAG-based agent orchestration
  • Sub-agent task execution
Highlights:
  • Fast
  • Coordination-efficient
  • Excellent for planning workflows

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šŸ¤– GPT-5 Model Series in Lyzr Studio

The GPT-5 model family introduces the next generation of reasoning, creativity, and orchestration capabilities in Lyzr agents.
These models are available in different variants for varying use cases ā€” from large-scale enterprise reasoning to lightweight, ultra-fast responses.
The flagship GPT-5 model offering state-of-the-art reasoning, creativity, and orchestration capabilities.Use Cases:
  • Complex multi-turn conversational flows
  • Enterprise agents with memory + orchestration
  • High-accuracy creative and reasoning tasks
Highlights:
  • Most advanced GPT-5 variant
  • Deep reasoning and context handling
  • Built for enterprise-scale workloads
A smaller variant of GPT-5 optimized for balanced performance with lower latency and credit consumption.Use Cases:
  • Customer-facing chatbots
  • Knowledge assistants with moderate complexity
  • Applications requiring speed + cost efficiency
Highlights:
  • Lightweight yet powerful reasoning
  • Faster response times compared to GPT-5
  • Cost-effective for production-scale deployments
The fastest and most lightweight member of the GPT-5 family, designed for real-time responses and minimal credit usage.Use Cases:
  • Real-time interactive experiences
  • Mobile and embedded AI agents
  • High-frequency, low-latency applications
Highlights:
  • Ultra-fast response times
  • Minimal resource and credit consumption
  • Ideal for edge and latency-critical scenarios
āš” The GPT-5 series empowers developers with flexible choices ā€” from deep reasoning with GPT-5 to ultra-low latency with GPT-5 Nano. āš™ļø All OpenAI models listed above are pre-integrated in Lyzr and available for immediate use in Lyzr Studio