Model decision guide · catalog checked 2026-09-20

Best Open-Weight AI Video Models

Open-weight workflows matter when deployment control, privacy or custom infrastructure is more important than using a hosted consumer interface.

Method: GenVideoKit scores workflow fit from documented capabilities and the reference-pricing data stored in the current model catalog. The percentages below are workflow-fit heuristics, not visual-quality scores. Test the same source assets before standardizing a production pipeline.

Requirements checklist for open-weight video

The highest-weight capabilities are treated as production requirements first. A model can still be useful without every item, but missing a high-weight control usually changes the workflow.

Open weights
Core requirement · weight 10
Text → video
Strong advantage · weight 3
Image → video
Strong advantage · weight 3
Native audio
Useful extra · weight 2
Video → video
Useful extra · weight 2
First / last frame
Useful extra · weight 1

Make the shortlist interactive

Add hard requirements such as native audio, references, first/last frame, editing, keyframes or open weights and recalculate the live catalog.

Open Model Finder

Production decision matrix

A quick capability check for the current shortlist. Use the detailed cards below for pricing context and missing controls.

Compare API pricing →
ModelWorkflow fitOpen weightsText → videoImage → videoNative audio8 sec × 4 attempts
LTX 2.5 Fast
Lightricks
90%YesYesYesYes$4.16
reference retry scenario
Hunyuan Video 1.5
Tencent Hunyuan
76%YesYesYes—Provider-dependent
Cost scenario uses the catalog default rate, an 8-second target clip and four generation attempts. Resolution, provider tier and billing rules can change the actual charge.

Current workflow matches

#1LTX 2.5 Fast
Lightricks
90%

Speed-focused LTX 2.5 audio-video generation with synchronized audio, first/last-frame control and up to 4K output.

Open weightsText → videoImage → videoNative audioFirst / last frame
Strong match: Open weights · Text → video · Image → video · Native audio.
Retry scenario: ~$1.04/attempt · ~$4.16 for 4 attempts.
#2Hunyuan Video 1.5
Tencent Hunyuan
76%

Tencent current HY-Video-1.5; official replacement for the retiring legacy Hunyuan video APIs.

Open weightsText → videoImage → video
Strong match: Open weights · Text → video · Image → video.

Fair A/B test protocol

Use one concise creative brief with one subject, one action and one camera move. Keep duration, aspect ratio and creative intent identical across models, then judge only the constraints that matter for open-weight video.

  1. Use the same source asset and creative brief for every model.
  2. Lock duration, aspect ratio and the required endpoint or reference conditions.
  3. Run the same number of attempts instead of comparing one lucky render with several retries.
  4. Record failures against the production constraints below, not against a vague overall impression.
  5. Compare usable-output cost after retries, then decide whether the extra control is worth the spend.

What to inspect in the renders

  • The primary subject remains consistent from the opening state to the final frame.
  • Camera and subject motion follow the requested direction without unprompted resets.
  • The final clip preserves the constraints that matter to the production workflow.
Search intent

What this page is meant to answer

Use this page when the production job is known but the model is not. It translates open-weight video into capability requirements, cost context and a shortlist to test.

Workflow requirements firstCapability-based shortlistA repeatable evaluation protocol

Scope boundary: This is a decision guide, not a universal quality ranking. A head-to-head page is more useful after you narrow the shortlist to two models.