Provider Overview
Anthropic
Anthropic focuses on developing AI systems that are reliable, interpretable, and steerable. Their Claude models are designed with an emphasis on helpfulness, harmlessness, and honesty, making them excellent for applications requiring nuanced understanding and safe outputs. Key models:- Claude 3.7 Sonnet - Latest model with advanced reasoning capabilities
- Claude 3.5 Sonnet - Balanced model for general applications
- Claude 3.5 Haiku - Speed-optimized model for rapid responses
Google AI
Google’s Gemini models represent their most capable and versatile AI systems. These models excel at multimodal tasks and offer extensive context windows, making them suitable for complex, context-rich applications and varied input types. Key models:- Gemini 2.5 Pro - Comprehensive model with multimodal capabilities and web search
- Gemini 2.0 Flash - Speed-optimized model for quick responses
- Gemini 2.0 Flash Thinking - Reasoning-focused rapid response model
OpenAI
OpenAI provides a range of powerful models with particular strengths in code generation, creative content, and structured outputs. Their models feature robust function calling capabilities and strong performance across diverse domains. Key models:- GPT-4o - Flagship multimodal model with comprehensive capabilities
- GPT-4o-mini - Fast, affordable small model for focused tasks
- o3-mini - Reasoning-optimized small model with large token limits
Fal AI
Fal AI focuses on image generation models that balance quality, speed, and versatility. Their models are designed for various creative and commercial applications, offering different optimization profiles to suit diverse needs. Key models:- flux-pro/v1.1 - High-quality image generation with superior composition and detail
- flux/schnell - Ultra-fast image generation for time-sensitive applications
- stable-diffusion-v3-medium - Balanced model with enhanced typography capabilities
Use Cases in Giselle
Content Creation Workflows
- Anthropic (Claude): Ideal for drafting nuanced business documents, creating policy content, and generating well-reasoned explanations in Giselle workflows. Claude models are particularly effective when handling sensitive subject matter or when ethical considerations are paramount.
- Google (Gemini): Perfect for Giselle workflows involving mixed media inputs. Use Gemini models when your workflow processes documents containing text, images, and other media formats simultaneously. Their large context window makes them excellent for analyzing extensive documentation or research materials.
- OpenAI (GPT): Excellent choice in Giselle for technical documentation workflows, code generation pipelines, and creative content production. The structured output capabilities make GPT models particularly useful when your Giselle workflow needs to generate content in specific formats or extract structured data.
Visual Content Workflows
- Fal AI: Essential for Giselle workflows involving image generation tasks. Use flux-pro for high-quality marketing visuals, flux/schnell for rapid prototyping and iterative design processes, and stable-diffusion for balanced results with typography requirements.
Multi-Provider Workflows
One of Giselle’s strengths is the ability to combine different providers in a single workflow:- Use different models to gather information, analyze implications, and format the findings into structured documentation
- Combine Gemini’s multimodal analysis with Fal AI’s image generation to create visual content based on document analysis
- Leverage different models’ strengths in sequential nodes to optimize cost/performance at each workflow stage