# Rapidata World Model Physics — blind

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Human pairwise evaluation of physics outputs, measuring blind. Scores are fitted using the Bradley–Terry preference model and expressed on the publisher’s Elo scale with 95% confidence intervals.

Canonical URL: https://benchize.com/benchmarks/rapidata%3Aworld-model-physics%3Arlb_1U6Onl3Z5Mz8Jz
Last updated: Wed, 21 Oct 2026 18:05:10 GMT

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Human pairwise evaluation of physics outputs, measuring blind. Scores are fitted using the Bradley–Terry preference model and expressed on the publisher’s Elo scale with 95% confidence intervals.

Multimodal · Models tested: 4 · Score publishers: [rapidata](https://www.benchmark.ai/world-model-physics)

## Model results

| # | Model | Score | ± |  |
| --- | --- | --- | --- | --- |
| 1 | [Happyhorse 1 0](https://benchize.com/models/happyhorse-1-0.md) | 1,067.15elo | CI 1,049.34–1,084.96 |  |
| ### Original source values \| Metric \| Value \| Unit \| Scope \| Direction \| \| --- \| --- \| --- \| --- \| --- \| \| `elo` \| 1067.1517255277627 \| elo \| rlb_1U6Onl3Z5Mz8Jz \| Higher is better \| ### Configuration benchmarkId bmk_1U6OmpqcWwoRpy criterion rlb_1U6Onl3Z5Mz8Jz participantId par_1Ue7R9YTonQ6uL sourceModelVersion HappyHorse 1.0 weighted false ### Reported statistics Uncertainty Confidence interval: 1,049.34–1,084.96 confidenceIntervalLowerOffset 17.807312072293144 confidenceIntervalUpperOffset 17.80731207229337 totalMatches 8274 wins 4523.5 ### Source [Original source](https://api.rapidata.ai/benchmark/bmk_1U6OmpqcWwoRpy/standings/query?leaderboard_id%5Beq%5D=rlb_1U6Onl3Z5Mz8Jz) Source rapidata Original model label HappyHorse 1.0 Source version v1 Observed 2026-10-21T16:37:32.554Z Evidence SHA-256 `261e1ff5c6fa8c2b06e8d96ba6f2564cc3638b32486a788baa7bebfe865ccb80` Source locator `/items/13` |  |  |  |  |
| 2 | [Veo 3.1 Fast](https://benchize.com/models/veo-3-1-fast.md) | 1,035.03elo | CI 1,017.29–1,052.78 |  |
| ### Original source values \| Metric \| Value \| Unit \| Scope \| Direction \| \| --- \| --- \| --- \| --- \| --- \| \| `elo` \| 1035.0309253910013 \| elo \| rlb_1U6Onl3Z5Mz8Jz \| Higher is better \| ### Configuration benchmarkId bmk_1U6OmpqcWwoRpy criterion rlb_1U6Onl3Z5Mz8Jz participantId par_1Ue7kL0rVdyCQM sourceModelVersion Veo 3.1 Fast weighted false ### Reported statistics Uncertainty Confidence interval: 1,017.29–1,052.78 confidenceIntervalLowerOffset 17.744420890864035 confidenceIntervalUpperOffset 17.74442089086392 totalMatches 8270 wins 4367.5 ### Source [Original source](https://api.rapidata.ai/benchmark/bmk_1U6OmpqcWwoRpy/standings/query?leaderboard_id%5Beq%5D=rlb_1U6Onl3Z5Mz8Jz) Source rapidata Original model label Veo 3.1 Fast Source version v1 Observed 2026-10-21T16:37:32.554Z Evidence SHA-256 `261e1ff5c6fa8c2b06e8d96ba6f2564cc3638b32486a788baa7bebfe865ccb80` Source locator `/items/15` |  |  |  |  |
| 3 | [Wan 2.7](https://benchize.com/models/wan-2-7.md) | 985.89elo | CI 968.26–1,003.53 |  |
| ### Original source values \| Metric \| Value \| Unit \| Scope \| Direction \| \| --- \| --- \| --- \| --- \| --- \| \| `elo` \| 985.8935207709695 \| elo \| rlb_1U6Onl3Z5Mz8Jz \| Higher is better \| ### Configuration benchmarkId bmk_1U6OmpqcWwoRpy criterion rlb_1U6Onl3Z5Mz8Jz participantId par_1Ue7VKLuNkwaKd sourceModelVersion Wan 2.7 weighted false ### Reported statistics Uncertainty Confidence interval: 968.26–1,003.53 confidenceIntervalLowerOffset 17.632058887985977 confidenceIntervalUpperOffset 17.632058887985977 totalMatches 8274 wins 4132.5 ### Source [Original source](https://api.rapidata.ai/benchmark/bmk_1U6OmpqcWwoRpy/standings/query?leaderboard_id%5Beq%5D=rlb_1U6Onl3Z5Mz8Jz) Source rapidata Original model label Wan 2.7 Source version v1 Observed 2026-10-21T16:37:32.554Z Evidence SHA-256 `261e1ff5c6fa8c2b06e8d96ba6f2564cc3638b32486a788baa7bebfe865ccb80` Source locator `/items/18` |  |  |  |  |
| 4 | [Wan 2.6](https://benchize.com/models/wan-2-6.md) | 981.25elo | CI 963.54–998.96 |  |
| ### Original source values \| Metric \| Value \| Unit \| Scope \| Direction \| \| --- \| --- \| --- \| --- \| --- \| \| `elo` \| 981.2498539510759 \| elo \| rlb_1U6Onl3Z5Mz8Jz \| Higher is better \| ### Configuration benchmarkId bmk_1U6OmpqcWwoRpy criterion rlb_1U6Onl3Z5Mz8Jz participantId par_1Ue89EGM12xNyr sourceModelVersion Wan 2.6 weighted false ### Reported statistics Uncertainty Confidence interval: 963.54–998.96 confidenceIntervalLowerOffset 17.711039287681956 confidenceIntervalUpperOffset 17.711039287681956 totalMatches 8263 wins 4103 ### Source [Original source](https://api.rapidata.ai/benchmark/bmk_1U6OmpqcWwoRpy/standings/query?leaderboard_id%5Beq%5D=rlb_1U6Onl3Z5Mz8Jz) Source rapidata Original model label Wan 2.6 Source version v1 Observed 2026-10-21T16:37:32.554Z Evidence SHA-256 `261e1ff5c6fa8c2b06e8d96ba6f2564cc3638b32486a788baa7bebfe865ccb80` Source locator `/items/19` |  |  |  |  |

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Cite as: Rapidata World Model Physics — blind — Benchize, https://benchize.com/benchmarks/rapidata%3Aworld-model-physics%3Arlb_1U6Onl3Z5Mz8Jz (retrieved 2026-10-21)