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How AI Image Generators Handle Hands in 2026

By Johnathan Kwok · VibeDex Research

TL;DR

Hands are not getting a standalone score claim in the current public benchmark. The Sonnet dataset is strong enough for overall and Atlas-level guidance, but too thin for a separate hand-anatomy ranking. Use the people-focused picks below and inspect outputs.

Current People-Focused Picks

These are not hand-specific scores. They are the safest current recommendations for people-focused images while the public Sonnet set remains limited.

#ModelAtlas ScoreCost/ImageTier
1GPT Image 2 High4.16$0.212Premium
2GPT Image 1.54.01$0.133Premium
3Nano Banana Pro3.96$0.138Premium

How to Use the Picks

GPT Image 2 High

Strengths

  • +Best overall public model
  • +Strongest quality ceiling for people prompts

Limitations

  • Highest cost and still needs visual review on hands

GPT Image 1.5 / Nano Banana Pro

Strengths

  • +Close premium alternatives for people-heavy work

Limitations

  • Do not treat either as hand-error-proof

Seedream 4.5

Strengths

  • +Best standard-price fallback for broad image quality

Limitations

  • Not a dedicated hand-anatomy pick

Related Vibedex Benchmarks

Methodology: Rankings and scores in this article align to VibeDex's current Sonnet 4.6 blind benchmark: 50 prompts, 3 passes, and 150 judgments per model across visual fidelity, physics, subject integrity, and instruction adherence. See our full methodology

FAQ

Which AI image model is best at hands now?

The current public dataset is too small for a standalone hands ranking. Use the people-focused Atlas picks instead.

Are hands solved for AI image generators?

The current public benchmark does not support that broad claim. Treat hand-heavy prompts as still requiring review.

What should I use for human subjects?

Start with GPT Image 2 High for quality, or Seedream 4.5 when standard-tier price matters.

See how every model stacks up

The Vibedex leaderboard ranks 18 image models on a 50-prompt blind benchmark, judged by Claude Sonnet 4.6 across visual fidelity, physics, subject integrity, and instruction adherence.

See the leaderboard