Wan 3.0 is a Alibaba closed-API video generation model. CompareLLM Video Estimated rating is 1880. Generation latency averages 239.4s. Wan 3.0 is a video generation model from Alibaba for text-to-video, image-to-video, and reference-guided video generation. It produces 480p, 720p, or 1080p video with durations from 2 to 30 seconds. Numbers below are dated snapshots from empirical benchmark harnesses.
Independent evaluation answering: "Is Wan 3.0 the right model for your workload & budget?"
Video generation is a separate job from video understanding; missing facts stay missing.
Dated snapshot metrics aggregated from official evaluators and API providers with visual relative score bars.
Our Video generation list. Named third-party suites stay labelled as references, not this rating.
Consistency of physical movement across frames without unnatural warping, frame drops, or morphing glitches.
Adherence to camera choreography, lighting, character attributes, and described chronological events.
Compact class for how long a standard clip takes to render. Exact seconds stay in the fact sheet.
Commercial API price per second of generated video footage delivered.
Feasibility of running weights on dedicated VRAM GPU clusters without per-clip cloud fees.
| Benchmark Metric & Meaning | Reported Score & Capability Fill | CompareLLM Review |
|---|---|---|
Maximum output (tokens) Maximum Response Length | 0k tokens | Source not recorded · Sep 21, 2026Maximum completion tokens for one request on the same endpoint. |
Context window (tokens) Context Window Capacity (tokens) | 0k tokens | Source not recorded · Sep 21, 2026Maximum input context on the same endpoint. |
Video generation time Time to Make One Clip | 3min+ | Source not recorded · Sep 21, 2026 |
Peers in the same closed API frontier video performance tier — not a jump to an unrelated frontier SKU.
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Compare Wan 3.0 against
Models may use different benchmarks and test settings. This is an indicative composite, not a controlled head-to-head comparison or community Elo. Admin-approved sentiment estimates fill categories without accepted benchmark results. Estimates are labelled and do not increase benchmark coverage. Coverage refers to the configured recipe, not confidence.
Release recent-models-2026-09-23-r1 · recipe reported-text-2026-09-11-r1 · method reported-with-estimates-v2 · research through 2026-09-23
Overall benchmark coverage includes missing applicable categories. Estimated categories contribute to the rating but add no benchmark coverage.
Editorial estimate, anchored to the Artificial Analysis arena for this modality, where Wan 3.0 scores 1229 with a 95% confidence interval of plus or minus 9 over 6,011 blind pairwise votes. Placed by where that sits between Seedance 1.5 pro at 1000 and Gemini Omni Flash at 1233, the span the board published on 2026-09-21, mapped onto 62-88. Arena Elo is blind human preference, not this category's recipe, so this is an ordering anchor rather than a measurement, and it is never compared against another modality's board. Any accepted result that clears the evidence thresholds replaces it.
As of 2026-09-21 · review on 2026-12-21 · Editorial estimate (not a benchmark result)
Sentiment source 1 →What this model is available as, what it takes to run, and where its identity comes from.
The provider's deployment options have not been reviewed for this model.
wan-3.0alibaba/wan-3.0Concise empirical overview formatted for citations and prompt context
Plain-English methodology and leaderboard answers
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Plotted against all active catalog models (50th percentile = catalog median).
2 of 4 dimensions have ranking-eligible evidence. Missing axes are not converted to zero.
Ranks in the top tier (≥75th percentile) for Video generation.
