In 2026, AI video officially moved past "wow, it moves" to become a production-ready tool. OpenAI Sora 2 and Google Veo 3.1 are two flagships, and you can access both in Quantium with a single swipe in the "Video" menu. The question isn't "does it work?" anymore, but "what's right for the job?"
We ran both models through the same set of test prompts in Quantium — everything from calm interior scenes to complex motion physics and dialogues. Below, you'll find a summary across eight criteria, breakdowns of each model's strengths, and a checklist to pick the right one.
Summary Table
| Criterion | Sora 2 | Veo 3.1 |
|---|---|---|
| Image Quality | 9.5 / 10 | 9.3 / 10 |
| Frame Consistency | 9.4 / 10 | 9.0 / 10 |
| Motion Physics | 9.6 / 10 | 8.9 / 10 |
| Prompt Adherence | 8.7 / 10 | 9.4 / 10 |
| Max Length | 20 sec | 12 sec |
| Audio sync | Separate | Built-in, synced |
| Price per 10 sec | 38 credits | 28 credits |
| Generation Time | ~3 min | ~90 sec |
What Sora 2 Does Better
Sora 2 is all about cinematic quality. The model churns out footage that feels like an experienced cinematographer shot it: camera breathing, natural sweeps, smart composition. In our tests with aerial shots, moving scenes, and complex perspectives, Sora 2 consistently beat its competitor in that "real movie" feel.
Its second ace is motion physics. Hair, fabric, water, particles, object collisions — everything AI video used to struggle with, Sora 2 handles way more realistically. Multi-shot scenes (someone walks into a room, picks up an item, sits down) also come out better; the model maintains character and spatial consistency for 15-20 seconds.
Where Veo 3.1 Wins
Veo 3.1's main killer feature is built-in synced audio. The model generates video along with a soundtrack: footsteps, ambient sounds, dialogue synced to characters' lips, music that fits the scene. With Sora 2, audio is added separately, which takes an extra step and doesn't always hit the lip sync. For short social media clips that need a ready-to-go content unit, Veo 3.1 saves an entire production stage.
Another plus: speed and prompt accuracy. Veo 3.1 is noticeably faster; a 10-second clip is ready in about 90 seconds compared to Sora 2's three minutes. Plus, it follows complex instructions with specific actions better ("a man pours coffee, then turns around, then smiles at someone off-screen"). If the prompt matters more than style, Veo 3.1 is more predictable.
Quantium Credit Pricing
In Quantium, video pricing depends on length, resolution, and mode (Standard/Pro). Both models are available in two modes; Pro gives higher quality for a higher cost. Here's a summary:
| Model | Mode | 5 sec | 10 sec | Note |
|---|---|---|---|---|
| Sora 2 | Standard | 22 credits | 38 credits | 1080p, up to 20 sec |
| Sora 2 | Pro | 34 credits. | 56 credits. | Enhanced detail |
| Veo 3.1 | Standard | 16 credits | 28 credits. | With audio, up to 12 sec |
| Veo 3.1 | Pro | 26 credits. | 44 credits | Pro audio, 2160p |
For context: the Basic plan gives you 3,000 credits a month — that's about 78 Sora 2 clips (10 sec each) or 107 Veo 3.1 clips. VIP with 15,000 credits is enough for a full series production.
In Practice: 5 Task Types
A quick checklist: which model to pick for specific tasks.
Verdict
Pick Sora 2 when atmosphere, cinematic camera work, and complex physics are key — think commercials, artistic shorts, impactful intros. This model is for productions where waiting three minutes and paying more per shot isn't an issue.
Pick Veo 3.1 when a ready-to-publish video with audio, speed, and cost savings are more important — social media content, quick concept tests, dialogue videos. Its built-in audio makes Veo 3.1 a "one-click" tool for short formats.
The best part? In Quantium, both models are available with one subscription. No need to pay OpenAI and Google separately: just switch between them in the bot's menu and use each where it's strongest.
