Human Fidelity · Text-to-Video
Elo rankings from blind votes across 3 challenges in this category.
Highlights
10 imagesBest models, by
Best Text-to-Video Models by Price
Best Text-to-Video Models by Speed
3 models waiting for enough speed data.
Best AI Models for Human Fidelity
| # | Model | Elo |
|---|---|---|
| 1 | 1249 | |
| 2 | 1239 | |
| 3 | 1228 | |
| 4 | 1212 | |
| 5 | 1211 | |
| 6 | 1183 | |
| 7 | 1151 |
Wan 2.6 leads the category with a 1249 Elo, outperforming overall leaderboard favorites by offering a 65.6% win rate at nearly a third of the price of Kling V3. While Kling V3 maintains a slightly higher individual win rate of 67.6%, Wan 2.6 establishes a significant value lead in human fidelity over premium-priced models like Sora 2 Pro and Seedance 2.0.
Highlighted challenges
The Rubik's Gauntlet
This prompt is one of the hardest single tests for 2026 SOTA video models because it simultaneously demands extreme fine-motor precision at high speed, long-term physical consistency (the cube must genuinely solve without morphing), and complex multi-element rendering (hyper-detailed skin, sweat, glossy reflections, and dynamic camera movement). Areas where even top models still frequently break down.
Neon Rain Reverie
This prompt is exceptionally difficult because it combines complex fluid dynamics (rain, splashing, clinging wet fabric), advanced material simulation (flowing silk + hair in wind), and atmospheric lighting; three areas where even top 2026 models still frequently produce artifacts or unrealistic behavior.
Keep the arena honest
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