---
title: "Sora 2"
description: "Sora 2 is OpenAI’s video generation model, known for physical plausibility. What it handles well, where it struggles, and how to prompt it."
url: "https://higgsfield.wiki/models/sora-2/"
verified: "2026-08-26"
publisher: "Higgsfield Wiki — independent reference, not affiliated with Higgsfield AI"
---

# Sora 2

Sora 2 is OpenAI’s video generation model, known for physical plausibility. What it handles well, where it struggles, and how to prompt it.

Sora 2 is OpenAI’s video generation model and one of the most recognised names in the category — it draws substantial search interest by name alone. Higgsfield exposes it as one of its video model options.

## What it is known for

  - **Physical plausibility.** Sora’s notable strength has been motion that obeys intuitive physics — weight, momentum, how objects contact and occlude one another. Motion tends to look like it has mass rather than sliding.
  - **Scene coherence.** It holds a consistent space over a shot reasonably well, so the setting does not reinvent itself as the camera moves.
  - **Prompt interpretation.** It handles descriptive, natural-language prompts without demanding rigid syntax.

## Where it still struggles

Shared with the category rather than unique to Sora:

  - **Hands and fine manipulation** — anything gripping or operating an object.
  - **Readable text** — signage and packaging warp between frames.
  - **Long-duration coherence** — quality degrades with length; short clips edited together beat one long generation.
  - **Specific likeness from text** — describing a person does not reproduce that person.

## Prompting

Sora responds well to prompts written like a shot description rather than a keyword list. State the subject and its action, then the camera, then the light. Cinematic vocabulary is understood — shot sizes, lens character, time of day — and is more useful than quality adjectives, which do close to nothing.

Keep it to one action. The most common failure is a prompt asking for a sequence of events inside a few seconds; the model compresses them into something incoherent rather than picking one.

**Availability varies by platform.** Access to Sora models is governed by OpenAI’s terms, and different platforms expose different versions and capabilities. Content restrictions — particularly around real people and public figures — are enforced at the model level, so they apply regardless of which interface you use.

## Common questions

### Who makes Sora?

OpenAI.

### What is Sora 2 best at?

Physically plausible motion — weight, momentum and contact between objects — and holding a coherent space across a shot.

### Can Sora generate videos of real people?

There are model-level restrictions around real people and public figures, enforced by OpenAI rather than by the platform you access it through.