AI video model

Use Sora 2 inside a complete creative workflow.

World-simulation physics. FoxCut places the model alongside camera presets, references, characters, cost estimates, generation history, and editing tools so you can choose it for the shots where its capabilities fit best.

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Sora 2 shown inside the FoxCut multi-shot video workflow

Core controls

What Sora 2 AI Video Generator needs to control.

01

Supported duration

Generate clips up to 10 seconds per shot with the current FoxCut catalog configuration.

02

Resolution options

Available output settings: 720p, 1080p.

03

Workflow compatibility

Best used without end-frame locking. Character identity controls are not exposed for this model.

Capability profile

What the current Sora 2 route exposes in FoxCut.

These are product-catalog capabilities and cost inputs, not a claim that one model produces the best visual result. Provider behavior can change independently of this page.

Maximum request

10 seconds per shot at 720p, 1080p in the current catalog.

Guidance exposed

Text-to-video is available. End-frame locking is not exposed. Reusable character direction is not exposed.

Baseline cost input

20 credits per second before any applicable resolution multiplier. The in-product estimate remains the source of truth before submission.

Evidence basis, checked : Current FoxCut UI catalog. This page is a capability profile, not an independent cross-model quality benchmark.

Fair evaluation plan

Test Sora 2 without moving the goalposts.

Use a fixed source, prompt, duration, aspect ratio, and closest equivalent resolution. Record the route and date so a later provider update does not overwrite the historical result.

Start with

Use a text-led scene whose physics and interaction are easier to judge than identity preservation or endpoint matching.

Compare fairly

Compare prompt adherence with another text-to-video route using the same duration and closest available resolution.

Current boundary

The current FoxCut profile does not expose end-frame or reusable-character control for this route.

Practical planning

What to decide before using Sora 2.

Use a text-led scene whose physics and interaction are easier to judge than identity preservation or endpoint matching. Before rendering, confirm that the route accepts every non-negotiable input and output: text prompting, 720p or 1080p, up to 10 seconds.

Compare prompt adherence with another text-to-video route using the same duration and closest available resolution. Estimate the baseline at 20 credits per second before resolution multipliers, then compare cost per accepted shot rather than cost per submitted render.

  • Supported duration: Generate clips up to 10 seconds per shot with the current FoxCut catalog configuration.
  • Resolution options: Available output settings: 720p, 1080p.
  • Workflow compatibility: Best used without end-frame locking. Character identity controls are not exposed for this model.
Cinematic text-led scene concept for a Sora 2 test
Use an observable interaction or physical event when testing text-to-video prompt adherence.

Quality control

How to review a ai video model result.

The current FoxCut profile does not expose end-frame or reusable-character control for this route.

A useful review follows the workflow in order: match the shot, then estimate the cost, then generate and compare. Change one variable per comparison so the next render answers a specific question.

  • Match the shot: Choose the model based on motion, realism, duration, reference, audio, and resolution requirements.
  • Estimate the cost: The catalog rate starts at 20 credits per second before resolution multipliers.
  • Generate and compare: Keep the prompt and references fixed when comparing this model with an alternative.
Physics-led AI video frame for reviewing Sora 2
Define what should move, what should remain fixed, and which visual evidence proves the event.

How it works

A practical ai video model workflow.

  1. Step 1

    Match the shot

    Choose the model based on motion, realism, duration, reference, audio, and resolution requirements.

  2. Step 2

    Estimate the cost

    The catalog rate starts at 20 credits per second before resolution multipliers.

  3. Step 3

    Generate and compare

    Keep the prompt and references fixed when comparing this model with an alternative.

Built for real work

Use cases

  • World-simulation physics
  • Text-to-video
  • Single-frame direction
  • Directed generation

Continue exploring

Related FoxCut workflows

Questions to resolve

Sora 2 AI Video Generator FAQ

What should I prepare before using Sora 2 AI Video Generator?

Use a text-led scene whose physics and interaction are easier to judge than identity preservation or endpoint matching. Before rendering, confirm that the route accepts every non-negotiable input and output: text prompting, 720p or 1080p, up to 10 seconds. Start with choose the model based on motion, realism, duration, reference, audio, and resolution requirements.

How should I evaluate the result?

Compare prompt adherence with another text-to-video route using the same duration and closest available resolution. Estimate the baseline at 20 credits per second before resolution multipliers, then compare cost per accepted shot rather than cost per submitted render. Review the output against the intended use, not against a vague idea of visual quality.

What is the most common failure to watch for?

The current FoxCut profile does not expose end-frame or reusable-character control for this route.

Make the shot. Keep the vision.

Move from prompt to directed generation with camera, character, reference, model, and workflow controls in one studio.

Generate with Sora 2