Wan 3 vs Seedance 2.5 vs Veo 3.1: Best AI Video Model in 2026

Three models dominate most shortlists after Sora's shutdown: Wan 3 from Alibaba, Seedance 2.5 from ByteDance Seed, and Veo 3.1 from Google DeepMind. They are not interchangeable. Each wins on a different axis, and picking the wrong one wastes credits before you see a usable frame.

This comparison uses the exact configuration each model runs with in the SoraRemix studio.

Quick comparison

Two things stand out immediately.

Veo 3.1 caps at 8 seconds. If you need a 30-second continuous shot, Veo is out — not because of quality, but because the model does not produce clips that long. Wan 3 and Seedance 2.5 both go to 30s.

Seedance 2.5 is the cheapest of the three at every workflow. Text-to-video costs 24 credits against Wan 3's 30 and Veo's 35. Over an iteration-heavy session that gap compounds fast.

Where each one wins

Seedance 2.5 — best for iteration

The combination of lowest cost, 30-second clips, and first/last-frame support makes Seedance 2.5 the default choice for exploratory work. When you do not yet know what the shot should look like, the cheapest model that supports your workflow is the right one. Reserve the expensive models for the final render.

Seedance 2.5 also supports first/last-frame control at 32 credits, which Wan 3 does not offer at all.

Wan 3 — best for long-form with image input

Wan 3 matches Seedance on clip length but costs more. Its advantage is image-to-video quality at 30-second durations — useful when you are animating a fixed piece of art or a product render and need the subject to stay recognizable across a long take.

Note the gap: Wan 3 has no first/last-frame workflow. If you need to control both ends of a shot, use Seedance 2.5 or Veo 3.1 instead. Wan 2.7 also supports first/last frame at 28 credits if you prefer the Wan family.

Veo 3.1 — best for short cinematic shots

Veo 3.1 is the most expensive of the three and the most limited on duration. What it offers is a full workflow set — text, image, and first/last frame — inside a tight 6-to-8-second window, which is exactly the length of most commercial cuts and social hooks.

If your output is a short establishing shot or a product beauty pass, the higher per-clip cost matters less than getting it right in fewer attempts.

A practical workflow

The cost table suggests an obvious strategy:

1. Draft on Seedance 2.5 at 24 credits until the prompt produces the composition you want.
2. Check length requirements. Need over 8 seconds? Veo is eliminated.
3. Render the final on the model that matches your workflow. First/last-frame control narrows it to Seedance 2.5 or Veo 3.1.

Drafting on the cheapest capable model and finishing on the best one is almost always cheaper than iterating directly on Veo.

What about the other seven models?

These three are not the whole catalog. Depending on the job, several others are a better fit:

• Kling O3 (22 credits) — image-to-video and first/last frame only, no text-to-video. Strong when you already have a source image.
• Happy Horse 1.1 (25 credits) — text-to-video only, built for dialogue and lip sync.
• Gemini Omni (30 credits) — text and image workflows with conversational refinement.
• MiniMax H3 (26 credits) — 2K output with multimodal references.
• Grok Imagine Video 1.5 (28 credits) — text and image with native audio.
• Wan 2.7 (20 credits) — the cheapest first/last-frame option in the catalog.
• Seedance 2.0 (20 credits) — cheapest full three-workflow model.

If cost is the binding constraint, Wan 2.7 and Seedance 2.0 both start at 20 credits and cover the same three workflows as Veo 3.1 at well under half the price.

The short answer

• Iterating, or on a budget? Seedance 2.5.
• Need 30 seconds from an image? Wan 3.
• Short cinematic shot, quality first? Veo 3.1.
• Cheapest path to first/last-frame control? Wan 2.7 at 28 credits.

You can run all ten models from the same studio with the same prompt, which makes the comparison concrete rather than theoretical. Generate the same shot on two models and the choice usually makes itself.