Best Practices for Multi-Model Workflows

Best Practices for Multi-Model Workflows

Magicdoor.ai lets you switch between multiple providers inside one product. The useful part is not simply having more models. It is being able to use the right model for each step of a task while keeping context in one place.

Current chat lineup

Magicdoor currently lists these chat models:

1. Claude Opus 4.7
2. Claude Sonnet 4.6
3. Claude Haiku 4.5
4. GPT-5.5
5. GPT-5.4 Mini
6. Gemini 3 Pro
7. Gemini 3 Flash
8. Grok 4.3
9. Perplexity Reasoning
10. Deep Research (pplx)
11. Qwen 3 Thinking

Match models to tasks

• Use Claude Sonnet 4.6 or GPT-5.5 for writing, analysis, and general work.
• Use GPT-5.4 Mini, Gemini 3 Flash, or Claude Haiku 4.5 when speed or cost matters.
• Use Perplexity Reasoning when you need live web results with sources.
• Use Deep Research (pplx) when you need a heavier research workflow.
• Use Gemini 3 Pro for long documents and multimodal work.
• Use Qwen 3 Thinking when you want a lower-cost reasoning-oriented option.

Switching between models

Switch models when the job changes:

• start with a lower-cost model for exploration
• move to a stronger model for polish
• switch to Perplexity when you need web-connected answers

Magicdoor keeps the conversation context, so you do not need to restate everything from scratch.

Example workflows

• Content creation: Use Perplexity Reasoning for source gathering, then switch to Claude Sonnet 4.6 for drafting.
• Research projects: Use Deep Research (pplx) for sourcing, then GPT-5.5 or Claude Opus 4.7 for synthesis.
• Image generation: Ask Claude Sonnet 4.6 or GPT-5.5 to help write prompts, then generate with Seedream 4.5, ChatGPT Image 2, Imagen 4, Flux 2 Pro, or another supported image model.

Further learning

Before building your own workflow, review the model selection guide to understand the current strengths and costs of each model.