Wan 2.1

developersBest Valueopen-source

Alibaba · Diffusion Transformer · v2.1hide_sourceNo public price yet

Built for developers and open source. Pricing is still unclear, so verify the market before committing.

—/sec

Ceiling

720p

Duration

2–5s

Price source

—

Text-to-VideoImage-to-VideoCameraV2VExtend

Best for

Developers and open source

5s clips, and camera control support short narrative work.

Watch out for

No native audio or lip-sync — those features require Wan 2.5 or later

Starting cost

No public rate

No reliable per-second starting tier is publicly documented yet.

Quick facts for AI assistants

Citation-ready model facts

These facts are generated from the current model record, provider verification metadata, and the page update timestamp.

Canonical URL: https://vidscore.dev/models/wan-2
Current verdict: Built for developers and open source. Pricing is still unclear, so verify the market before committing.
Verified pricing: No verified comparable API rate yet
Provider evidence: FAL.ai (Reported); Replicate (Reported)
Best fit: developers, Best Value, open-source
Primary limitation: No native audio or lip-sync — those features require Wan 2.5 or later
Last updated: 2026-04-18

Pricing

The default rate first, with provider details one click away.

2 providers, 5 tiers

No public rate

No verified public pricing yet

No public per-second rate is documented yet.

All provider rates

Expand for every tier, audio surcharge, and verification note.

2 providersexpand_more

FAL.ai

Wan 2.1 · Reported by provider · HIGH trust

Open provideropen_in_new

Text-to-Video480p

$0.20

Text-to-Video720p

$0.40

Image-to-Video480p

$0.20

Image-to-Video720p

$0.40

Checked 2026-04-18

Replicate

Wan 2.1 1.3B · Reported by provider · HIGH trust

Open provideropen_in_new

Text-to-Video480p

$0.20

Checked 2026-04-18

Should you choose it?

Why pick Wan 2.1, and why pass?

Use this as a sanity check before you compare it against the closest alternatives.

thumb_upWhy choose it

Fully open source (Apache 2.0) — can be self-deployed, fine-tuned, and customized with LoRA adapters
Two model sizes (1.3B and 14B) — 1.3B runs on consumer GPUs with just 8.2GB VRAM
Wide provider availability — FAL.ai, Replicate, WaveSpeed, and self-hosted options
Very affordable at $0.20–$0.40 per generation on FAL.ai
VACE extension adds video editing, extension, and camera control capabilities
Active open-source community with rapid iteration

infoWhy skip it

No native audio or lip-sync — those features require Wan 2.5 or later
Maximum 720p resolution — no 1080p support (see Wan 2.7 for 1080p)
Best results limited to 5-second clips and 480p resolution
Quality varies significantly between 1.3B and 14B model sizes
Superseded by Wan 2.2, 2.5, 2.6, and 2.7 with substantially better capabilities

Prompt playbook

auto_fix_highStart with these three moves

Scan the quick playbook first. Open the full guide only when you need deeper do/don't rules or example prompts.

1
Be clear and sufficiently detailed — describe who/what, where, and what action occurs. The more precise your prompt, the closer the output matches your vision.
2
Use professional cinematography terms — 'dolly in,' 'crane shot,' 'orbital arc,' and 'rack focus' produce dramatically better results than casual descriptions like 'camera moves forward.'
3
Include negative prompts to eliminate artifacts — use terms like 'no morphing, no warping, no face deformation, no flickering' to clean up output quality.

Open the full prompt guide

Extra prompt tips, best practices, common mistakes, and example prompts.

expand_more

More tips

4Keep prompts to 80–120 words — enough detail to guide the model without contradictory instructions that confuse it.
5Start with simple, single-motion prompts before combining effects — master one camera movement at a time before stacking complex choreography.

✓ Do this

Structure prompts with three core components: Subject (main focus), Scene (environment), and Motion (both subject movement and camera behavior)
For image-to-video, describe only the motion and change — the model already sees the image, so focus on how the scene evolves
Use 24 fps for cinematic quality or 16 fps for faster prototyping and testing
Use 480p for fast iteration and prototyping, 720p for final renders — 480p produces more stable results
Leverage the open-source nature: fine-tune with LoRA adapters for consistent characters, styles, or brand-specific aesthetics

✗ Avoid this

Best results at 480p — 720p output is less stable, especially on the 1.3B model
Maximum 5-second clips at full quality — use VACE extend for longer sequences
No multi-shot generation in a single pass — each generation is one continuous clip
Text rendering within video is unreliable
No native audio or lip-sync — audio must be added separately (native audio starts with Wan 2.5)
The 1.3B parameter variant has lower quality than the full 14B model

Example prompts

Sci-Fi / Cinematic

“A lone astronaut walks across the surface of Mars at sunset, dust particles floating in low gravity. Camera tracks slowly from left to right at ground level. The orange-red sky fades to deep purple on the horizon. Cinematic wide angle, shallow depth of field on the astronaut's boots kicking up dust.”

Product / Commercial

“Overhead top-down shot of a barista pouring latte art in a ceramic cup. The milk swirls into a rosetta pattern. Camera holds perfectly still. Warm indoor lighting, shallow depth of field. No morphing, no warping.”

Based on the official prompt guide →

FAQexpand_more

Where can I use Wan 2.1?

Via API on FAL.ai and Replicate.

How do I get good results with Wan 2.1?

Be clear and sufficiently detailed — describe who/what, where, and what action occurs. The more precise your prompt, the closer the output matches your vision. See the prompt guide below.