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Use this page when your request is image-only. Memories.ai currently documents Gemini, GPT, Nova, and Qwen image understanding endpoints.
This guide is intentionally practical. It focuses on the request and output patterns you will actually use in Memories.ai, not external benchmark scoreboards.

Quick Picks

Best default

Start with Gemini Image if you want one strong default for image reasoning and schema-based extraction.

Simplest JSON path

Start with GPT Image if you want the most familiar documented response_format path for JSON output.

Lowest-cost batch

Start with Qwen Image if cost is the main constraint and you need image analysis at scale.

Tool-first extraction

Start with Nova Image if your workflow is built around tool-style extraction via toolConfig.

Choose By Workflow

Provider Differences That Matter

Suggested Starting Models

Qwen source pricing is documented per 1K tokens on its provider pages. This guide converts the lowest published tier into 1M token terms for faster cross-provider comparison.

How To Evaluate On Your Own Data

Before standardizing on an image model, compare at least these cases:
  • clean product or document images vs noisy real-world photos
  • captioning vs field extraction
  • free-form output vs strict JSON output
  • small interactive workloads vs bulk batch processing
The right choice often depends more on your output contract than on headline model branding.