Vision Capabilities Comparison

Which current Magicdoor chat models are practical for image analysis and when to use each one.

Not all chat models handle image analysis the same way. Magicdoor supports vision on most chat models, but the best choice depends on whether you care most about speed, cost, long-document handling, or deeper analysis.

Good starting options for vision tasks

  • Claude Sonnet 5.5: strong general-purpose image analysis

  • GPT-6.1 Sol: strong general-purpose image analysis with OpenAI workflow

  • GPT-6 Luna: lower-cost option for simpler image tasks

  • Claude Haiku 5.5: supports PDF and vision inputs; check the specific task and output

  • Claude Opus 5.5: premium option for harder visual analysis

  • Grok 4.7: another current vision-capable option in the lineup

GLM-5.3 does not support vision in the current Magicdoor registry.

Practical guidance by task

Document analysis and OCR

Start with Claude Haiku 5.5 or Claude Sonnet 5.5 when you need to read documents, screenshots, or structured layouts.

General photo analysis

Start with GPT-6.1 Sol or Claude Sonnet 5.5 for everyday images, object identification, and scene understanding.

Fast low-cost checks

Use Claude Haiku 5.5 or GPT-6 Luna when the task is simple and you want to keep costs down.

Higher-stakes interpretation

Use Claude Opus 5.5 when the image is complex and you want a premium reasoning pass.

Cost-aware workflow

  1. Start with Claude Haiku 5.5 or GPT-6 Luna for the first pass.
  2. If the task needs more depth, switch to Claude Sonnet 5.5 or GPT-6.1 Sol.
  3. Escalate to Claude Opus 5.5 only when the quality difference is worth the extra cost.

That is the main advantage of Magicdoor's multi-model setup: you do not have to guess one perfect model up front.