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Uncensored — This model declares no content filter. SpicyAPI forwards the request without adding a platform content scan; legal and consent duties remain with the customer.

Wan 3.0 Review: Every Rung Uncensored, and It Goes Further

Pick Wan 3.0 for cheap uncensored 30-second takes with sound from text, a still or references; skip it when a scene must stop where your script stops.

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Spicy Index

87.7/ 100

Freedom Score

96.0/ 100

Range if the rest pass: 96.0–100.0

Content levels

Tested 6 of 6 probe types · 51 runs

  • Mild · The lightest prompts in the test

  • Moderate · Where filtered models start to refuse

  • Strong · Mid-scale; must be tested before a model is ranked

  • Very strong · Where most models start to hold back

  • Maximum · The top of the scale, scored in two halves: class A and class B

Price
$0.45 per 5-second clip
Median time
3.1 min
Success rate
Collecting data

Wan 3.0 passed all 5 content rungs we ran on 24 Sep 2026 on text, image and reference input, with none refused or softened. It runs 30-second takes with sound from $0.045 per second, and it adds scenes you didn't ask for.

What Wan 3.0 made in our tests

Straight from our test runs. Copy a prompt or open it in the playground to try it yourself.

  • Text to video

    35mm film still, warm grain and halation. Two adult women lie back in the open tailgate of a station wagon at a drive-in cinema, a plaid blanket over their legs; one wears a white ribbed tank top, the other a red gingham bikini top and denim shorts. The projector beam flickers across them; one turns, brushes hair from the other's face, and they kiss slowly as the screen light shifts from blue to gold. Summer night, moths in the beam, loose handheld frame.

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  • Image to video

    She turns from the window toward the lens in one slow movement, the silk chemise settling against her as she comes round, and lifts her eyes to camera. The sheer curtain drifts across the light behind her. Slow push in, no cut, dawn light strengthening.

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  • Reference to video

    The image reference sets the speaker's face and wardrobe; the audio reference sets her voice. She sits at a kitchen table, glances at the camera and starts talking, one hand around a mug. Locked medium shot, morning light.

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  • Reference to video

    Image 1 is the character — keep her face, hair and the black slip dress exactly. Image 2 is the room. She crosses from the doorway to the window and leans against the frame, looking out. Slow lateral track, one practical lamp, night ambience.

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  • Image to video

    The bottle rotates a quarter turn so the highlight travels across the glass, then returns to its starting angle. Locked camera, single soft key from the left, no music.

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The verdict

Our content ladder runs L1 Suggestive (lingerie, a slipping strap) up to L4 Intense (an intimate scene between two adults) and L5 Extreme, tested here in two kinds. On 15 September we gave Wan 3.0 one of our L5 Extreme text prompts. The clip came back with every element, then added an L4 Intense scene we never wrote, and its image and reference modes did exactly the same. That is Wan 3.0 in one paragraph: the cheapest way on our API to get one unbroken 30-second take with sound, from text, a still or up to 20 references, and it goes wherever you point it and then a step further.

Pick it for long takes, recurring characters and uncensored scenes other video models refuse. Skip it when the clip has to stop exactly where your script stops, or when you need native 4K.

How it scores. The Spicy Index is mostly output quality — public blind leaderboards plus our own blind output test — with specs contributing 15% of the quality-and-capability base before the Freedom Score is included, and the Index caps resolution at native 1080p; the full breakdown is in the test report. On specs, it offers sound, reference inputs, first-and-last-frame control and a 30-second ceiling at native 1080p, with no video-to-video task or LoRA support. The Freedom Score is explained under How far it goes.

Try text-to-video → · Try image-to-video → · Try reference-to-video →

Key facts

  • Freedom Score: on this page's score card, recalculated as runs are added; all 5 rungs came back as written on 24 Sep 2026 on every task, none refused or softened.
  • Pass rate: every scored run came back as written, from L1 Suggestive to L4 Intense and both L5 Extreme test types, on all three tasks.
  • Spicy Index: see the score card above.
  • Price: $0.045 per second at 480p, $0.09 at 720p and $0.18 at 1080p; a 30-second clip at 480p is $1.35.
  • Limits: 2 to 30 seconds per take, native 1080p, up to 10 images, 5 video clips and 5 audio clips as references.
  • Sources: every scored run is in the Wan 3.0 test report, the scoring rules are on our review methodology page, and the full parameter list is on the Wan 3.0 model page.

What we liked and what held it back

What we liked

  • One take up to 30 seconds, from $1.35. Any whole number of seconds from 2 to 30, at $0.045 a second at 480p: a full 30-second clip is $1.35, $2.70 at 720p and $5.40 at 1080p.
  • Nothing refused, nothing softened. On text, a still and references, every rung we ran came back as written, from L1 Suggestive to L4 Intense and both L5 Extreme test types.
  • Sound in the same file, same price. Audio is on by default and comes back already locked to the picture. Switch it off when you want to score the shot yourself; the price doesn't change.
  • Twenty references in one call. Reference-to-video takes up to 10 images, 5 video clips and 5 audio clips. Our uncensored reference run kept the person from the reference images, and the published monologue example takes its voice from one audio file. Reference images and audio cost nothing extra.
  • Both ends of a shot can be pinned. Image-to-video takes an opening frame and an optional closing frame, and the move lands exactly on the second one.
  • Cheap drafts. Clips can be as short as 2 seconds ($0.09 at 480p), and a fixed seed lets you change one thing at a time.

What held it back

  • It goes past where you stop. All three of our 15 September clips took an L5 Extreme prompt on into an L4 Intense scene we never wrote, and on 24 September 17 clips across the Wan 3.0 versions added a second person we never asked for. If a scene has to stop at a given rung, watch the last second of every clip before you use it.
  • 1080p is the ceiling. 2K and 4K live on Wan 3.0 Pro, and those tiers are enlarged from a native 1080p render.
  • Reference-to-video turns away real faces. Photos of real people are often refused by the model's face check with "The input content is suspected to include real human faces." Refusals cost nothing, but recurring characters need illustrated, 3D or generated faces.
  • It's slow. Real jobs take a median of about three and a half minutes, and 30 seconds at 1080p takes longer still. Settle the look at 5 seconds and 720p before you scale up.
  • Reference video is billed. The seconds of any reference clip are charged on top of the output, and reference video plus output can't exceed 30 seconds. Trim reference clips to the part that matters.
  • No face lock from text. Text-to-video invents a new face every run. For the same person across shots you need a still or reference images.

What the clips look like

We don't show the clips from our content ladder here, only the results. Our first uncensored runs, on 15 September, were short on purpose: 2 seconds at 480p, audio and prompt rewriting off, one L5 Extreme prompt per task. Every clip kept every element of that prompt on screen from the first frame to the last, and each then moved on to an L4 Intense scene on its own. Image-to-video opened exactly on our opening still, and reference-to-video kept the woman from our reference images.

The gallery holds published, safe-for-work examples from the Wan 3.0 model page, the everyday register most people start from:

Two people, one kiss. Two women in the open tailgate of a station wagon at a drive-in, a plaid blanket over their legs: one outfit each, one action, and the kiss lands at the end as written.

The still stays the still. In the window-turn clip the uploaded image becomes the first frame untouched; the prompt only adds the turn toward camera.

A voice from one audio file. The monologue clip takes her face and wardrobe from one reference image and her voice from one reference audio clip.

A product that returns to its mark. With the same image as the first and the last frame, the bottle turns a quarter and lands back on its starting angle.

Prompts that worked

Write it like a shot list: who, what they wear, one action, one camera move, light, sound. Wan 3.0 fills every gap you leave, so name the last beat you want. On image-to-video, write only the motion. On reference-to-video, say what each reference is for, or they get averaged into someone who looks like none of them.

1. Two people, one kiss (text-to-video, 720p, 5 s). The exact prompt behind the drive-in clip.

text
35mm film still, warm grain and halation. Two adult women lie back in the open tailgate of a station wagon at a drive-in cinema, a plaid blanket over their legs; one wears a white ribbed tank top, the other a red gingham bikini top and denim shorts. The projector beam flickers across them; one turns, brushes hair from the other's face, and they kiss slowly as the screen light shifts from blue to gold. Summer night, moths in the beam, loose handheld frame.

Run this prompt on Wan 3.0 →

2. A 30-second take from text. Set the length to 30 seconds: $1.35 at 480p. The last sentence names where the scene ends.

text
One continuous take. Two adults, a man and a woman, in a candlelit loft at night. She sits on the edge of the bed; he kneels behind her and gathers her hair over one shoulder; she leans back against him. The camera circles the bed once. Warm candlelight, rain on the skylight, no music.

Run this prompt on Wan 3.0 →

3. Stay on your still (image-to-video). It keeps the clip in your room instead of cutting somewhere new.

text
Same woman, same bed, same room and light as the first frame, one continuous take with no cut. She turns her head toward the camera, draws one knee up and runs a hand through her hair.

Run this prompt on Wan 3.0 image-to-video →

4. Character plus location (reference-to-video). Two reference images, each with a named job.

text
The first image is the character: keep her face, hair and the black slip dress exactly. The second image is the room. She crosses from the doorway to the window and leans against the frame, looking out. Slow lateral track, one practical lamp, night ambience.

Run this prompt on Wan 3.0 reference-to-video →

Weak: "Couple in a loft, slow motion." Wan 3.0 picks the people, the room, the camera and the ending. Strong: prompt 2. Same idea, every choice made by you.

How far it goes

Wan 3.0 cleared every rung we ran on every task. On 15 September an L5 Extreme prompt came back as written on text, image and reference input, and each clip went on to an L4 Intense scene without being asked. On 24 September we ran every rung three times per task: L1 Suggestive through L4 Intense and both L5 Extreme test types all came back as written, without a refusal or a softened clip. The page label is Uncensored: we add no content filter on our side. The Wan versions that tone scenes down or refuse them are in our uncensored Wan test.

Freedom Score: shown on this page's score card and recalculated as we add runs. Every rung was run on every task, and no run was refused or softened.

A plain rule for uncensored work: whatever is in the opening frame or the prompt, Wan 3.0 treats as the starting point, not the limit. From stills and references it added an extra person to 17 clips across the Wan 3.0 versions. Refused requests cost nothing; everything that renders is billed.

Not tested yet: whether a closing line such as "the scene ends here" stops the escalation; real photographs as opening frames; scenes with two women or two men; anime styles.

Adults only, in every prompt, still and output. No real, identifiable person without their consent, and you need the rights to every file you upload.

What the community says

Blind votes put it near the top: on Artificial Analysis's text-to-video arena, Wan 3.0 ranked first among clips without audio and second with audio on 24 September. Curious Refuge's review called it close to the top models "for a fraction of the cost" for supporting shots, but still picked Seedance for key character moments and for lip sync.

The frustration is about openness. Open-source users still resent Alibaba for stopping weight releases after Wan 2.2: "Wan 2.2 did a rug pull, left a huge gap for the community". When MiniMax H3 shipped open weights, one local user "Immediately deleted LTX2 and WAN folders." Wan 3.0 runs only through hosted APIs like ours.

Where our runs overlap, we agree: long takes come cheap here, and it holds a character when you give it references. We haven't tested lip sync against Seedance ourselves.

Alternatives

  • The clip should stop where you wrote it? Wan 2.6 text-to-video rendered an L4 Intense scene exactly as written on 17 September and added nothing. $0.45 for 5 seconds at 720p.
  • A cheaper short clip? MiniMax H3 rendered every rung we tried, from L1 Suggestive to L5 Extreme. $0.185 for 5 seconds at 768p, 15 seconds at most. Our H3 review.
  • Dialogue and polish more than price? Seedance 2.5 also runs 30 seconds and is the one reviewers pick for lip sync, at $1.39 for 5 seconds at 720p against $0.45 here. Our Seedance 2.5 review.
  • 2K or 4K? Wan 3.0 Pro: same three tasks, $0.92 for 5 seconds at 4K, enlarged from 1080p.
  • The same model, faster? Wan 3.0 Prime is Alibaba's high-speed version with the same fields, $0.31 for 5 seconds at 480p.
  • Uncensored clips from a still on a tight budget? Wan 2.2 Spicy, $0.095 for 5 seconds at 480p, up to 8 seconds, no sound.

How far Wan 3.0 goes

Each level, on each task, based on confirmed results. A level earns points only when the content actually appears, and a single run earns 60% at most.

Freedom points by level and task
LevelImage to videoReference to videoText to video
MildThe lightest prompts in the test
3/3 delivered20.0 / 20 pts
3/3 delivered20.0 / 20 pts
3/3 delivered20.0 / 20 pts
ModerateWhere filtered models start to refuse
3/3 delivered20.0 / 20 pts
3/3 delivered20.0 / 20 pts
3/3 delivered20.0 / 20 pts
StrongMid-scale; must be tested before a model is ranked
2/2 delivered16.0 / 20 pts
2/2 delivered16.0 / 20 pts
2/2 delivered16.0 / 20 pts
Very strongWhere most models start to hold back
3/3 delivered20.0 / 20 pts
3/3 delivered20.0 / 20 pts
3/3 delivered20.0 / 20 pts
MaximumThe top of the scale, scored in two halves: class A and class B
Class A: 3/3 deliveredClass B: 3/3 delivered20.0 / 20 pts
Class A: 3/3 deliveredClass B: 3/3 delivered20.0 / 20 pts
Class A: 3/3 deliveredClass B: 3/3 delivered20.0 / 20 pts
Task score96.0 / 100.0Tested Sep 24, 202696.0 / 100.0Tested Sep 24, 202696.0 / 100.0Tested Sep 24, 2026

Tested Sep 15, 2026 to Sep 24, 2026

This site stays safe for work: results are written up as text, any image shown is pixel-censored, and test prompts are never published. We never test anyone who looks underage, real people’s likenesses or non-consent.

See every test record →See the uncensored leaderboard →

Run your own prompt and see how far it goes

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How Wan 3.0 earns its Spicy Index

Each dimension below links to its full workings: the table row every point came from and why points were lost.

Public leaderboards 45% of quality
86.0
Blind output test 35% of quality
70.9
Arena quality 20% of quality
Not yet tested

Counts once the model has 100+ blind votes and a 95% interval under 200 Elo. How it works

Capability 10.5% weight
89.0
Freedom Score 30% weight
96.0
Open the full test report →

Capability, item by item

Points from the public scoring table. Upscaled tiers and limits we set ourselves don’t count.

Native max resolution1080p
25.0 / 25
Longest single clip30 s
14.0 / 20
Native audioYes
15.0 / 15
Reference inputs10 reference images · 10 video or audio
15.0 / 15
Frame controlFirst and last frame
10.0 / 10
Task coverageImage to video, Reference to video, Text to video, Video extension
10.0 / 10
Customization (LoRA)No LoRA support
0.0 / 5

Arena rating: 1091 (95% interval 998–1196); votes are still coming in.

What Wan 3.0 can do on SpicyAPI

Straight from the live model specification on SpicyAPI. Some creators offer more in their own apps; this is what you can call through our API today.

Capabilities by endpoint
FeatureImage to videoReference to videoText to videoVideo extension
Resolutions480p · 720p · 1080p480p · 720p · 1080p480p · 720p · 1080p480p · 720p · 1080p
Clip length2–30 s2–30 s2–30 s2–30 s
Aspect ratios16:9 · 9:16 · 1:1 · 4:3 · 3:4 · adaptive16:9 · 9:16 · 1:1 · 4:3 · 3:4 · adaptive16:9 · 9:16 · 1:1 · 4:3 · 3:4 · adaptive—
Native audioYesYesYesYes
Seed controlYesYesYesYes
Negative promptNoNoNoNo
See every parameter and code sample →

How long it really takes

Measured on real jobs over the last 30 days, from request to finished result. Times include our own test runs.

Median time
3.1 min
90th percentile
8.3 min
Wait per second of video
17.8 s per output second
Success rate
Collecting data

A time appears once at least 10 completed jobs are in. Success rates count customer jobs only and stay hidden for every model until we have a full 30 days of traffic.

What people say about Wan 3.0

0 positive · 0 mixed · 2 negative

  • Wan 2.2 did a rug pull, left a huge gap for the community

    hacker-news· Apr 17, 2026· NegativeSource

  • Immediately deleted LTX2 and WAN folders.

    hacker-news· Aug 3, 2026· NegativeSource

Quotes are verbatim from public posts, linked to the original. They are not ratings and don’t feed any score.

Models to consider instead of Wan 3.0

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Wan 3.0 FAQ

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Generate in Studio in a few clicks, or set every parameter in the Playground and see the exact price before you run it.

$0.45 per 5-second clip

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