Multi-Model Support
Integrate and orchestrate multiple language models in a single workflow to achieve the best results
The Best of Every Model
Don't limit yourself to a single AI model. HiveFlow allows you to combine the unique strengths of different language models in a single integrated workflow.
From GPT-4 for complex reasoning to Claude for detailed analysis, or specialized models for specific tasks, orchestrate the perfect combination for each project.
Supported Models
OpenAI
GPT-4, GPT-4 Turbo, GPT-3.5 Turbo and specialized models like DALL-E for image generation.
Anthropic
Claude 3.5 Sonnet, Claude 3 Opus and Claude 3 Haiku for deep analysis and ethical reasoning.
Local Models
Support for Ollama, LM Studio and other local models for maximum privacy and control.
Specialized Models
Integration with specific models for tasks like code analysis, translation, or data processing.
Advanced Use Cases
Comparative Analysis
Use multiple models to analyze the same content and get diverse perspectives, comparing responses and finding consensus.
Specialized Pipeline
Create pipelines where each model specializes: one for extraction, another for analysis, and a third for final synthesis.
Intelligent Fallback
Configure backup models that automatically activate if the primary model fails or is unavailable.
Multi-Model Orchestration
Combine multiple models to achieve more robust and accurate results.
This multi-model flow demonstrates:
- Single data input
- Parallel processing with multiple models
- Comparison and analysis of results
- Intelligent synthesis of responses
- Optimized final result
Why Multi-Model Support?
Leverage the unique strengths of each model to achieve the best results
Flexibility
Choose the perfect model for each specific task, maximizing the effectiveness of your workflow.
Reliability
Automatic backup systems ensure your flows continue working even if one model fails.
Optimization
Combine fast models for simple tasks with powerful models for complex analysis, optimizing cost and performance.