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Run Wan 3.0 Reference and every other model on Glif from one chat. One account, one balance, no API keys to wire up.

Use image, video and audio references to guide consistent subjects and motion in 1080p clips.
As of
Score 69 · #2 of 22 in Image-to-video
Score out of 100: how often people would pick this model's output over an average model's on the same tests. 50 is average.
On image-to-video: Wins 19 / Losses 8 / Ties 0 from 27 team votes, plus 7 AI judge scores.
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.
Multi-image reference: Needs more ratings (5 of 20)
Edit, extend and reference tools built on the same model.
Run Wan 3.0 Reference and every other model on Glif from one chat. One account, one balance, no API keys to wire up.