# Wan 2.7 > Source: Benchize (https://benchize.com) — https://benchize.com/models/wan-2-7. When citing or reusing this content, credit "Benchize" and link to https://benchize.com/models/wan-2-7. Alibaba Canonical URL: https://benchize.com/models/wan-2-7 Last updated: Wed, 21 Oct 2026 18:52:20 GMT Reproduction and quotation must name Benchize, link to the canonical HTML URL, and retain individual source citations. Alibaba ## Benchmarks | Benchmark | Score | ± | Rank | Source | | | --- | --- | --- | --- | --- | --- | | [DesignArena Image to video](https://benchize.com/benchmarks/designarena%3Aimage-to-video.md) | 1,195elo | — | 3 / 6 | [designarena · public](https://www.designarena.ai/api/leaderboard#board=image-to-video) | | | ### Original source values \| Metric \| Value \| Unit \| Scope \| Direction \| \| --- \| --- \| --- \| --- \| --- \| \| `elo` \| 1195 \| elo \| image-to-video \| Higher is better \| ### Configuration arenaType models category imagetovideo inputModality Not reported sourceModelVersion wan-v2.7-t2v variationName public ### Reported statistics averageGenerationTimeMs 169064 battles 9375 losses 3919 standardError Not reported winRate 58.2 wins 5456 ### Source [Original source](https://www.designarena.ai/api/leaderboard#board=image-to-video) Source designarena Original model label Wan 2.7 Source version public Observed 2026-10-21T16:38:05.944Z Evidence SHA-256 `3f70acee2c278ead1d96a95d61efeeb297b8de597167a31c3e81f594b70ff60c` Source locator `/data/20` | | | | | | | [Rapidata World Model Physics — looks-like-reference-pinned](https://benchize.com/benchmarks/rapidata%3Aworld-model-physics%3Arlb_1XwtptXwuxJVMY.md) | 1,078.07elo | CI 1,049.32–1,106.83 | 3 / 4 | [rapidata · v1](https://api.rapidata.ai/benchmark/bmk_1U6OmpqcWwoRpy/standings/query?leaderboard_id%5Beq%5D=rlb_1XwtptXwuxJVMY) | | | ### 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` | | | | | | | [DesignArena Image editing](https://benchize.com/benchmarks/designarena%3Aimage-to-image.md) | 1,152elo | — | 8 / 9 | [designarena · public](https://www.designarena.ai/api/leaderboard#board=image-to-image) | | | ### Original source values \| Metric \| Value \| Unit \| Scope \| Direction \| \| --- \| --- \| --- \| --- \| --- \| \| `elo` \| 1152 \| elo \| image-to-image \| Higher is better \| ### Configuration arenaType models category imagetoimage inputModality Not reported sourceModelVersion wan-v2.7-edit variationName public ### Reported statistics averageGenerationTimeMs 22241 battles 9886 losses 4987 standardError Not reported winRate 49.5 wins 4899 ### Source [Original source](https://www.designarena.ai/api/leaderboard#board=image-to-image) Source designarena Original model label Wan 2.7 Source version public Observed 2026-10-21T16:38:05.190Z Evidence SHA-256 `abf3d99140598dcb4ad29257e22198f27ce2f79576132aae8b8be4850de7f5b5` Source locator `/data/26` | | | | | | | [Rapidata World Model Physics — Overall preference](https://benchize.com/benchmarks/rapidata%3Aworld-model-physics%3Aoverall.md) | 1,010.38elo | CI 999.75–1,021.01 | 4 / 4 | [rapidata · v1](https://api.rapidata.ai/benchmark/bmk_1U6OmpqcWwoRpy/standings/query) | | | ### Original source values \| Metric \| Value \| Unit \| Scope \| Direction \| \| --- \| --- \| --- \| --- \| --- \| \| `elo` \| 1010.3802139042284 \| elo \| overall \| Higher is better \| ### Configuration benchmarkId bmk_1U6OmpqcWwoRpy criterion overall participantId par_1Ue7VKLuNkwaKd sourceModelVersion Wan 2.7 weighted false ### Reported statistics Uncertainty Confidence interval: 999.75–1,021.01 confidenceIntervalLowerOffset 10.633311649236816 confidenceIntervalUpperOffset 10.633311649236816 totalMatches 22745.233094748597 wins 11641.178894981227 ### Source [Original source](https://api.rapidata.ai/benchmark/bmk_1U6OmpqcWwoRpy/standings/query) Source rapidata Original model label Wan 2.7 Source version v1 Observed 2026-10-21T16:37:32.074Z Evidence SHA-256 `5422f5ed3a299971836364af1a60b7463d4b59d519db466904342ec8db8ec44a` Source locator `/items/17` | | | | | | | [Rapidata World Model Physics — with-reference](https://benchize.com/benchmarks/rapidata%3Aworld-model-physics%3Arlb_1U6OnkM0D4HJRL.md) | 1,008.89elo | CI 991.19–1,026.59 | 3 / 4 | [rapidata · v1](https://api.rapidata.ai/benchmark/bmk_1U6OmpqcWwoRpy/standings/query?leaderboard_id%5Beq%5D=rlb_1U6OnkM0D4HJRL) | | | ### Original source values \| Metric \| Value \| Unit \| Scope \| Direction \| \| --- \| --- \| --- \| --- \| --- \| \| `elo` \| 1008.889699770768 \| elo \| rlb_1U6OnkM0D4HJRL \| Higher is better \| ### Configuration benchmarkId bmk_1U6OmpqcWwoRpy criterion rlb_1U6OnkM0D4HJRL participantId par_1Ue7VKLuNkwaKd sourceModelVersion Wan 2.7 weighted false ### Reported statistics Uncertainty Confidence interval: 991.19–1,026.59 confidenceIntervalLowerOffset 17.70399826855146 confidenceIntervalUpperOffset 17.70399826855146 totalMatches 8274 wins 4263 ### Source [Original source](https://api.rapidata.ai/benchmark/bmk_1U6OmpqcWwoRpy/standings/query?leaderboard_id%5Beq%5D=rlb_1U6OnkM0D4HJRL) Source rapidata Original model label Wan 2.7 Source version v1 Observed 2026-10-21T16:37:34.453Z Evidence SHA-256 `967ea57fffae4fd5cb994839076827b500d91c6dbf763ee3116e7b6510a2ee54` Source locator `/items/16` | | | | | | | [DesignArena Image generation](https://benchize.com/benchmarks/designarena%3Aimage.md) | 1,159elo | — | 19 / 23 | [designarena · public](https://www.designarena.ai/api/leaderboard#board=image) | | | ### Original source values \| Metric \| Value \| Unit \| Scope \| Direction \| \| --- \| --- \| --- \| --- \| --- \| \| `elo` \| 1159 \| elo \| image \| Higher is better \| ### Configuration arenaType models category image inputModality Not reported sourceModelVersion wan-v2.7-t2i variationName public ### Reported statistics averageGenerationTimeMs 30667 battles 102817 losses 57104 standardError Not reported winRate 44.5 wins 45713 ### Source [Original source](https://www.designarena.ai/api/leaderboard#board=image) Source designarena Original model label Wan 2.7 Source version public Observed 2026-10-21T16:38:04.902Z Evidence SHA-256 `63030dd7a501effde798521b3d097112a00a2f78b4a036c40bb0e4fa7a276a2a` Source locator `/data/50` | | | | | | | [DesignArena Video editing](https://benchize.com/benchmarks/designarena%3Avideo-to-video.md) | 1,268elo | — | 1 / 1 | [designarena · public](https://www.designarena.ai/api/leaderboard#board=video-to-video) | | | ### Original source values \| Metric \| Value \| Unit \| Scope \| Direction \| \| --- \| --- \| --- \| --- \| --- \| \| `elo` \| 1268 \| elo \| video-to-video \| Higher is better \| ### Configuration arenaType models category videotovideo inputModality Not reported sourceModelVersion wan-v2.7-v2v variationName public ### Reported statistics averageGenerationTimeMs 349642 battles 5407 losses 1903 standardError Not reported winRate 64.8 wins 3504 ### Source [Original source](https://www.designarena.ai/api/leaderboard#board=video-to-video) Source designarena Original model label Wan 2.7 Source version public Observed 2026-10-21T16:38:05.685Z Evidence SHA-256 `ae9493ee96474dbfb62934c1edcaaae77f167aee5a1e31cd09ec830ab6754c43` Source locator `/data/5` | | | | | | | [Rapidata World Model Physics — with-reference-pinned](https://benchize.com/benchmarks/rapidata%3Aworld-model-physics%3Arlb_1Xwr15RsywqJgE.md) | 975.77elo | CI 947.13–1,004.41 | 4 / 4 | [rapidata · v1](https://api.rapidata.ai/benchmark/bmk_1U6OmpqcWwoRpy/standings/query?leaderboard_id%5Beq%5D=rlb_1Xwr15RsywqJgE) | | | ### Original source values \| Metric \| Value \| Unit \| Scope \| Direction \| \| --- \| --- \| --- \| --- \| --- \| \| `elo` \| 975.767985369748 \| elo \| rlb_1Xwr15RsywqJgE \| Higher is better \| ### Configuration benchmarkId bmk_1U6OmpqcWwoRpy criterion rlb_1Xwr15RsywqJgE participantId par_1Ue7VKLuNkwaKd sourceModelVersion Wan 2.7 weighted false ### Reported statistics Uncertainty Confidence interval: 947.13–1,004.41 confidenceIntervalLowerOffset 28.64029147474514 confidenceIntervalUpperOffset 28.64029147474514 totalMatches 3192 wins 1546 ### Source [Original source](https://api.rapidata.ai/benchmark/bmk_1U6OmpqcWwoRpy/standings/query?leaderboard_id%5Beq%5D=rlb_1Xwr15RsywqJgE) Source rapidata Original model label Wan 2.7 Source version v1 Observed 2026-10-21T16:37:33.020Z Evidence SHA-256 `38d60626fc8c04a83169acf54a7694f5f495b1eb49089670f736c329794ea24d` Source locator `/items/17` | | | | | | | [Rapidata World Model Physics — blind](https://benchize.com/benchmarks/rapidata%3Aworld-model-physics%3Arlb_1U6Onl3Z5Mz8Jz.md) | 985.89elo | CI 968.26–1,003.53 | 3 / 4 | [rapidata · v1](https://api.rapidata.ai/benchmark/bmk_1U6OmpqcWwoRpy/standings/query?leaderboard_id%5Beq%5D=rlb_1U6Onl3Z5Mz8Jz) | | | ### 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` | | | | | | | [DesignArena Multimodal video generation](https://benchize.com/benchmarks/designarena%3Amultimodal-to-video.md) | 1,151elo | — | 3 / 3 | [designarena · public](https://www.designarena.ai/api/leaderboard#board=multimodal-to-video) | | | ### Original source values \| Metric \| Value \| Unit \| Scope \| Direction \| \| --- \| --- \| --- \| --- \| --- \| \| `elo` \| 1151 \| elo \| multimodal-to-video \| Higher is better \| ### Configuration arenaType models category multimodaltovideo inputModality Not reported sourceModelVersion wan-v2.7-ref variationName public ### Reported statistics averageGenerationTimeMs 308921 battles 2242 losses 931 standardError Not reported winRate 58.5 wins 1311 ### Source [Original source](https://www.designarena.ai/api/leaderboard#board=multimodal-to-video) Source designarena Original model label Wan 2.7 Source version public Observed 2026-10-21T16:38:07.536Z Evidence SHA-256 `85803fc32e8868a15a56e9ca84cbb830b15e586445f1a66f0c075a5194b0509f` Source locator `/data/9` | | | | | | | [DesignArena Multiple images to video](https://benchize.com/benchmarks/designarena%3Amulti-to-video.md) | 1,192elo | — | 4 / 5 | [designarena · public](https://www.designarena.ai/api/leaderboard#board=multi-to-video) | | | ### Original source values \| Metric \| Value \| Unit \| Scope \| Direction \| \| --- \| --- \| --- \| --- \| --- \| \| `elo` \| 1192 \| elo \| multi-to-video \| Higher is better \| ### Configuration arenaType models category multitovideo inputModality Not reported sourceModelVersion wan-v2.7-ref variationName public ### Reported statistics averageGenerationTimeMs 202616 battles 5956 losses 2507 standardError Not reported winRate 57.9 wins 3449 ### Source [Original source](https://www.designarena.ai/api/leaderboard#board=multi-to-video) Source designarena Original model label Wan 2.7 Source version public Observed 2026-10-21T16:38:07.289Z Evidence SHA-256 `b5c6a06f8a1b85081ad116afe39c59b0f3646cceab46616f94e3d644ff5ab546` Source locator `/data/13` | | | | | | | [DesignArena Video generation](https://benchize.com/benchmarks/designarena%3Avideo.md) | 1,167elo | — | 5 / 7 | [designarena · public](https://www.designarena.ai/api/leaderboard#board=video) | | | ### Original source values \| Metric \| Value \| Unit \| Scope \| Direction \| \| --- \| --- \| --- \| --- \| --- \| \| `elo` \| 1167 \| elo \| video \| Higher is better \| ### Configuration arenaType models category video inputModality Not reported sourceModelVersion wan-v2.7-t2v variationName public ### Reported statistics averageGenerationTimeMs 205916 battles 15498 losses 7034 standardError Not reported winRate 54.6 wins 8464 ### Source [Original source](https://www.designarena.ai/api/leaderboard#board=video) Source designarena Original model label Wan 2.7 Source version public Observed 2026-10-21T16:38:05.419Z Evidence SHA-256 `31aeee1762dd6d8b713e59c4ea658c36045fcffaca5ff4a6a146bd10d342afb3` Source locator `/data/23` | | | | | | --- Cite as: Wan 2.7 — Benchize, https://benchize.com/models/wan-2-7 (retrieved 2026-10-21)