Why use more than one AI model in a workflow?

Different models are better at different steps. You can use Perplexity Reasoning for sourced research, a lower-cost model for exploration, and Claude Sonnet 4.6 or GPT-5.5 for higher-value writing and analysis.

Does switching models keep the conversation context?

Yes. magicdoor.ai supports switching models mid-conversation, so the next model can continue from the existing context instead of making you start over in a separate tool.

What is a good low-cost multi-model workflow?

Start with GPT-5.4 Mini, Gemini 3 Flash, or Claude Haiku 4.5 for quick drafts and exploration. Escalate to Claude Sonnet 4.6, Claude Opus 4.8, or GPT-5.5 only when the task needs more depth.

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:

Claude Opus 4.8
Claude Sonnet 4.6
Claude Haiku 4.5
GPT-5.5
GPT-5.4 Mini
Gemini 3.1 Pro
Gemini 3 Flash
Grok 4.3
Perplexity Reasoning
Deep Research (pplx)
GLM-5.1
DeepSeek V4 Pro
MiniMax M3
Kimi K2.7 Code

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 3.1 Pro for long documents and multimodal work.
Use Claude Opus 4.8 when you need the strongest Anthropic option for a high-value step.
Use GLM-5.1, DeepSeek V4 Pro, MiniMax M3, or Kimi K2.7 Code when you want a Together AI option with a different cost/performance profile.

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 4.8 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, 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.

Best Practices for Multi-Model Workflows