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Model comparison

Sora 2 vs LTX-2.5 Fast

Compare Sora 2 and LTX-2.5 Fast using the same provider-sourced video generation rubric. No mystery score and no invented benchmark ranking.

Facts checked September 4, 2026

Estimate your cost

Set your usage. Your estimate updates as you type.

Example: 8-second, 720p clips with audio. Models that do not support these settings will not receive an estimate.

How this estimate works

Estimates exclude taxes, tools, cache storage/writes, free allowances and custom discounts. Image estimates cover output only, not prompt or reference-image charges. Quality modes differ by model. Unlisted settings are not treated as free.

Estimate your cost
ModelEstimated total (USD)
LTX-2.5 FastLightricksNo reviewed rate
Sora 2OpenAINo reviewed rate

Quick take

Sora 2

OpenAI's legacy synced-audio video model for short text- or image-guided clips—still documented, but approaching a permanent API shutdown.

Best for

  • Evaluating an existing Sora integration
  • Short synced-audio experiments before shutdown
  • Planning a migration to another video provider

Watch out for

The API shutdown is imminent. Treat every new dependency on Sora 2 as temporary and export anything you need to keep.

LTX-2.5 Fast

LTX's speed-optimized video model for text, image, or audio input, native sound, automatic duration, and output up to 4K.

Best for

  • Fast video experiments with native audio
  • Portrait or landscape output up to 4K
  • Prompt-driven multi-shot clips with automatic duration

Watch out for

Fast does not mean every 4K job finishes instantly. Price grows from $0.09 to $0.30 per generated second, and permitted duration depends on resolution and frame rate.

Compare the published facts

Sora 2 vs LTX-2.5 Fast

Values use each provider's own published units and limits. A blank means the provider did not publish a directly comparable value in the sources reviewed.

Video generationSora 2LTX-2.5 Fast
Generation priceCurrent list price per generated second or the provider's closest billing unit.$0.10 / generated second$0.09/s 720p to $0.30/s 4K
Clip durationDocumented duration choices or maximum clip length.4, 8, or 12 seconds6–20 seconds depending on resolution and frame rate
Maximum outputHighest provider-documented output resolution, with relevant constraints.720×1280 or 1280×7204K
Native audioWhether the endpoint generates synchronized audio with video.Yes, synced audioYes; can also generate silent video
Input modesSupported text, image, video, reference, or motion inputs.Text or image to videoText, image, or audio; optional last frame and camera motion
Generation timeOnly shown when a provider publishes a range; not a Cody benchmark.Not publishedFast tier; exact time not published

How to choose

Compare the job, not the hype.

Start with the job you need to complete, then validate cost, access, and policy details on your exact provider route.

Sora 2

OpenAI says API inputs and outputs are not used for training by default. Standard abuse-monitoring and feature-specific storage controls apply until the service shuts down.

LTX-2.5 Fast

The reviewed public LTX model and pricing guides do not state one complete endpoint-specific retention or training-use commitment. Verify current account and enterprise terms for sensitive media.

Frequently asked questions

Sora 2 vs LTX-2.5 Fast FAQ

What is the main difference between Sora 2 and LTX-2.5 Fast?

Sora 2: OpenAI's legacy synced-audio video model for short text- or image-guided clips—still documented, but approaching a permanent API shutdown. LTX-2.5 Fast: LTX's speed-optimized video model for text, image, or audio input, native sound, automatic duration, and output up to 4K.

Should I choose Sora 2 or LTX-2.5 Fast?

Consider Sora 2 when your priority is Evaluating an existing Sora integration. Consider LTX-2.5 Fast when your priority is Fast video experiments with native audio. Test both with your own data and provider route before committing.

Is this Sora 2 vs LTX-2.5 Fast comparison based on Cody benchmarks?

No. This comparison aligns provider-published facts for the Video generation category. It does not claim a universal winner or combine incompatible third-party benchmark scores.