Wan 2.5: the complete guide
Wan 2.5 is Alibaba's preview-tier text-to-video model on fal.ai, positioned in the value band alongside Hailuo 02 and LTX-style open models. It supports 5- and 10-second clips at 480p, 720p or 1080p, optional background music via a public audio URL, and prompt expansion via an built-in LLM rewriter. Wan 2.6 adds multi-shot segmentation and 15-second output — this page documents Wan 2.5 as published on fal in July 2026. Battle tests are queued on PromptBattleLab; use this page for specs and billing until rankings go live.
Quick facts
- Developer:
- Alibaba (Tongyi Wanxiang / Wan team)
- Modes:
- Text-to-video, image-to-video (preview endpoints)
- Duration:
- 5 s or 10 s
- Resolution:
- 480p · 720p · 1080p
- Aspect ratios:
- 16:9 · 9:16 · 1:1
- Audio:
- Background music via audio_url (WAV/MP3) — not generated speech
- API access:
- fal.ai (fal-ai/wan-25-preview/…), Alibaba Cloud Model Studio
- Price from:
- $0.05/s (480p) · $0.10/s (720p) · $0.15/s (1080p)
What Wan 2.5 actually is
Wan 2.5 is part of Alibaba's open-weights-influenced video family — strong in the value tier for social clips, fantasy and action scenes, with bilingual (Chinese and English) prompt support. It is not a native speech/lip-sync model: audio enters through an optional background music URL, not generated dialogue.
- ▸Per-second billing on fal scales linearly with resolution — 1080p is 3× the 480p rate.
- ▸Prompt expansion (default on): an LLM rewrites short prompts; disable when you need exact copy.
- ▸Safety checker enabled by default — factor moderation failures into retry budgets.
- ▸Wan 2.6 successor adds multi-shot prompting, 15 s duration and more aspect ratios — check endpoint before new projects.
- ▸Open-weights heritage: self-hosting paths exist for teams that want zero marginal per-clip cost at the expense of GPU ops.
Pricing — fal.ai per-second rates
Official fal.ai rates for Wan 2.5 preview text-to-video:
- ▸Background audio via audio_url does not change the published per-second video rate on fal — you supply hosting for the MP3/WAV.
- ▸10-second 1080p at $1.50 sits between Hailuo Pro ($0.48 max 6 s) and Seedance fast ($2.42 @ 10 s 720p) — compare usable quality, not sticker price alone.
- ▸Processing time: fal docs cite 1–3 minutes typical; longer for 10 s 1080p.
API parameters and integration
Primary endpoint: fal-ai/wan-25-preview/text-to-video
curl -X POST https://queue.fal.run/fal-ai/wan-25-preview/text-to-video \
-H "Authorization: Key $FAL_KEY" \
-H "Content-Type: application/json" \
-d '{
"prompt": "A white dragon warrior stands on a cliff at dawn, cape fluttering in wind, cinematic wide shot.",
"resolution": "720p",
"aspect_ratio": "16:9",
"duration": "5",
"enable_prompt_expansion": true
}'Prompting guide
- ▸Bilingual prompts work — Alibaba's docs explicitly support Chinese and English; pick one language per prompt for consistency.
- ▸Fantasy, action and costume scenes are common showcase categories in Wan examples — lean into clear subject + environment + camera.
- ▸Use negative_prompt for recurring artifacts (extra limbs, blurry faces) instead of long "no X" lists in the main prompt.
- ▸audio_url: host a royalty-free loop; if audio is shorter than video, the remainder is silent per API docs.
- ▸Disable prompt expansion when testing identical-prompt battles — expansion changes wording between runs.
- ▸For square social: 1:1 aspect ratio is supported natively — no crop-from-9:16 workaround needed.
Wan 2.5 vs Hailuo 02, Kling 3.0, LTX-2
- ▸Wins: flexible aspect ratios at low cost, bilingual prompts, optional scored BGM without a separate edit pass.
- ▸Loses to Hailuo on raw per-second floor at 768p for silent clips.
- ▸Loses to Veo and Seedance on speech-led UGC and reference-heavy brand work.
- ▸LTX-2 wins extreme draft speed and self-host economics; Wan wins hosted API simplicity.
Use case recommendations
Documentation verdict: Wan 2.5 is a strong value-tier hosted API — especially when you need 1:1 or 9:16 with optional background music. Pair with Hailuo for silent motion tests and escalate to Kling or Veo when architecture polish or speech matters.
Sources
- fal.ai — Wan 2.5 preview text-to-video API & pricing ↗
- fal.ai — Wan v2.6 text-to-video (successor) ↗
- Alibaba Cloud — Model Studio documentation ↗
Want to see this model under pressure? Watch it battle with identical prompts →