Miniature scene

Every model got the same prompt. Here's what 26 models made, best first. Nano Banana 2.1 is outlined.

Results

  1. Won

    Nano Banana Pro

    Score 80 · 1 win, 0 losses · Judge 8.6/10

  2. #2 of 13

    Gemini 3.1 Flash

    Score 75 · 1 win, 0 losses · Judge 8.4/10

  3. #3 of 13

    GPT Image 2.5

    Score 64 · Judge 8.5/10

From 4 blind votes by the Glif team and 13 AI judge scores. Scores are out of 100, and 50 is average for this test. See the full text-to-image leaderboard

How we score

Scores on this page come from this test alone and compare only the models that ran it. Leaderboard scores pool every test of the same kind.

Every model runs the same Glif tests. Team members see two outputs side by side without the model names and pick the one that better fits the test, or call it a tie. An AI judge also scores every output from 0 to 10.

A Bradley-Terry fit turns all those head-to-head results into one rating per model. Ties count as half a win, and each AI judge score counts as half a vote.

The score is the predicted chance people prefer this model's output to the average model's on the same board, so 50 is average. A board is one kind of task, like text-to-image. Scores only compare models on the same board.

The 90% range comes from resampling the votes and refitting many times. Overlapping ranges are close to a tie. A model ranks once it has 20 votes' worth of ratings on a board. Until then it shows no score, only how close it is.

What we look for

Can do tilt-shift scenes. Keeps proportions correct. Correctly produces physically-sound trebuchet. Creates plausible medieval setting.

Prompt

“Miniature tilt-shift scene of a wooden trebuchet siege engine in a medieval military warcamp, with canvas tents scattered around, armored soldiers and engineers working on the catapult, wooden fortifications in background, campfires smoking, banners fluttering in the wind, muddy ground with wagon tracks, medieval era setting”

Tests for

Style, world knowledge