# Rapidata World Model Physics — looks-like-reference-pinned

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Human pairwise evaluation of physics outputs, measuring looks-like-reference-pinned. 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_1XwtptXwuxJVMY
Last updated: Wed, 21 Oct 2026 18:52:20 GMT

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Human pairwise evaluation of physics outputs, measuring looks-like-reference-pinned. 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) | 1,173.32elo | CI 1,144.11–1,202.54 |  |
| ### Original source values \| Metric \| Value \| Unit \| Scope \| Direction \| \| --- \| --- \| --- \| --- \| --- \| \| `elo` \| 1173.3230613219741 \| elo \| rlb_1XwtptXwuxJVMY \| Higher is better \| ### Configuration benchmarkId bmk_1U6OmpqcWwoRpy criterion rlb_1XwtptXwuxJVMY participantId par_1Ue7R9YTonQ6uL sourceModelVersion HappyHorse 1.0 weighted false ### Reported statistics Uncertainty Confidence interval: 1,144.11–1,202.54 confidenceIntervalLowerOffset 29.217048922159165 confidenceIntervalUpperOffset 29.217048922159165 totalMatches 3193 wins 1921 ### Source [Original source](https://api.rapidata.ai/benchmark/bmk_1U6OmpqcWwoRpy/standings/query?leaderboard_id%5Beq%5D=rlb_1XwtptXwuxJVMY) Source rapidata Original model label HappyHorse 1.0 Source version v1 Observed 2026-10-21T16:37:33.965Z Evidence SHA-256 `c78dc35ae43d87d620279cc3e0c4ccbbe0c63370310f50f6a7f84e5a13a2cb60` Source locator `/items/6` |  |  |  |  |
| 2 | [Wan 2.6](https://benchize.com/models/wan-2-6.md) | 1,081.6elo | CI 1,052.64–1,110.57 |  |
| ### Original source values \| Metric \| Value \| Unit \| Scope \| Direction \| \| --- \| --- \| --- \| --- \| --- \| \| `elo` \| 1081.6014141456237 \| elo \| rlb_1XwtptXwuxJVMY \| Higher is better \| ### Configuration benchmarkId bmk_1U6OmpqcWwoRpy criterion rlb_1XwtptXwuxJVMY participantId par_1Ue89EGM12xNyr sourceModelVersion Wan 2.6 weighted false ### Reported statistics Uncertainty Confidence interval: 1,052.64–1,110.57 confidenceIntervalLowerOffset 28.965006631027336 confidenceIntervalUpperOffset 28.965006631027336 totalMatches 3217 wins 1771 ### Source [Original source](https://api.rapidata.ai/benchmark/bmk_1U6OmpqcWwoRpy/standings/query?leaderboard_id%5Beq%5D=rlb_1XwtptXwuxJVMY) Source rapidata Original model label Wan 2.6 Source version v1 Observed 2026-10-21T16:37:33.965Z Evidence SHA-256 `c78dc35ae43d87d620279cc3e0c4ccbbe0c63370310f50f6a7f84e5a13a2cb60` Source locator `/items/12` |  |  |  |  |
| 3 | [Wan 2.7](https://benchize.com/models/wan-2-7.md) | 1,078.07elo | CI 1,049.32–1,106.83 |  |
| ### Original source values \| Metric \| Value \| Unit \| Scope \| Direction \| \| --- \| --- \| --- \| --- \| --- \| \| `elo` \| 1078.0741670468071 \| elo \| rlb_1XwtptXwuxJVMY \| Higher is better \| ### Configuration benchmarkId bmk_1U6OmpqcWwoRpy criterion rlb_1XwtptXwuxJVMY participantId par_1Ue7VKLuNkwaKd sourceModelVersion Wan 2.7 weighted false ### Reported statistics Uncertainty Confidence interval: 1,049.32–1,106.83 confidenceIntervalLowerOffset 28.755982430692256 confidenceIntervalUpperOffset 28.755982430692256 totalMatches 3192 wins 1751 ### Source [Original source](https://api.rapidata.ai/benchmark/bmk_1U6OmpqcWwoRpy/standings/query?leaderboard_id%5Beq%5D=rlb_1XwtptXwuxJVMY) Source rapidata Original model label Wan 2.7 Source version v1 Observed 2026-10-21T16:37:33.965Z Evidence SHA-256 `c78dc35ae43d87d620279cc3e0c4ccbbe0c63370310f50f6a7f84e5a13a2cb60` Source locator `/items/13` |  |  |  |  |
| 4 | [Veo 3.1 Fast](https://benchize.com/models/veo-3-1-fast.md) | 991.85elo | CI 963.24–1,020.45 |  |
| ### Original source values \| Metric \| Value \| Unit \| Scope \| Direction \| \| --- \| --- \| --- \| --- \| --- \| \| `elo` \| 991.8464691856746 \| elo \| rlb_1XwtptXwuxJVMY \| Higher is better \| ### Configuration benchmarkId bmk_1U6OmpqcWwoRpy criterion rlb_1XwtptXwuxJVMY participantId par_1Ue7kL0rVdyCQM sourceModelVersion Veo 3.1 Fast weighted false ### Reported statistics Uncertainty Confidence interval: 963.24–1,020.45 confidenceIntervalLowerOffset 28.60164239285257 confidenceIntervalUpperOffset 28.60164239285257 totalMatches 3191 wins 1594 ### Source [Original source](https://api.rapidata.ai/benchmark/bmk_1U6OmpqcWwoRpy/standings/query?leaderboard_id%5Beq%5D=rlb_1XwtptXwuxJVMY) Source rapidata Original model label Veo 3.1 Fast Source version v1 Observed 2026-10-21T16:37:33.965Z Evidence SHA-256 `c78dc35ae43d87d620279cc3e0c4ccbbe0c63370310f50f6a7f84e5a13a2cb60` Source locator `/items/16` |  |  |  |  |

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Cite as: Rapidata World Model Physics — looks-like-reference-pinned — Benchize, https://benchize.com/benchmarks/rapidata%3Aworld-model-physics%3Arlb_1XwtptXwuxJVMY (retrieved 2026-10-21)