LTX-2.5 vs CogVideoX 1.5

LTX is the open-weights enterprise model for 2026: 22B parameters, native 4K, audio-to-video, and LoRA fine-tuning at $0.04/sec. CogVideoX 1.5 is a 5B research model capped at 768p, a starting point and not a production foundation.

LTX-2.5 vs CogVideoX

LTX is the open-weights enterprise model for 2026: 22B parameters, native 4K, audio-to-video, and LoRA fine-tuning at $0.04/sec. CogVideoX 1.5 is a 5B research model capped at 768p, a starting point and not a production foundation.

CogVideoX 1.5

Developer

Lightricks
Zhipu AI (ZAI)

Parameters

22B
5B

Open Source

Yes — open weights
Yes

On-Prem

Yes
Yes (self-host)

OUTPUT QUALITY

Native 4K Rendering

Yes, 3840×2160
No (768p / 1360×768)

Max Video Length

Auto Duration
~10 sec (161 frames @ 16fps)

Frame Rate (fps)

Up to 50 fps
16 fps

SPEED & COST

8 sec FHD Generation Time

6.8s on-prem
~1 min (H100)

API Pricing
(per second of video)

$0.09/sec (720p) · $0.13/sec (1080p) · $0.19/sec (1440p) · $0.30/sec (4K)
~$0.02/sec ($0.20/10-sec via fal.ai)

Free Access

Yes — open-source + free Desktop app
Yes – self-host open weights

Subscription Plans
(non-API access)

Free (self-host & Desktop)
Free (self-host)

CAPABILITIES

Text-to-Video

Yes
Yes

Image-to-Video

Yes
Yes

Retake

Yes
No

HDR Output

Yes
No

Extend

Yes
No

LipDub

Yes
No

Audio-to-Video

Yes — native multimodal
No

Multi-modal Inputs
(text + image + audio + video)

Yes — all four
Text + Image

Motion Control

Yes — full control
Limited

Character Consistency

Yes — via LoRA fine-tuning + Native Multishot (holds character/env/lighting/voice/style across cuts)
Limited

Content Moderation / Limits

No limits (open-source)
No limits (open source)

DEVELOPER & ENTERPRISE

LoRA / Fine-tuning

Yes — LoRA + IC-LoRA
Yes – CogKit

Fully Customizable

Yes — pretrained checkpoint for deep adaptation + cleaner permissive licensing
Yes

Runs on Consumer-Grade GPUs

Yes
Yes

ComfyUI / Diffusers Support

Yes
Yes

SUMMARY

Best For

Enterprise teams needing on-prem deployment, full model customization & IP protection at zero marginal cost — plus multi-shot scene generation, real-footage editing (EXR/IC-LoRA), and physical-AI/robotics base models
Developers fine-tuning lightweight open-source models on modest hardware

Which model is right for me?

  • LTX is best for

    • Enterprise teams that need full model ownership, on-prem deployment, and LoRA fine-tuning at production output quality
    • Organizations that need to customize, fine-tune, and integrate video models into proprietary products, workflows, and internal tools
    • Teams that need a complete production capability stack — Retake, Extend, LipDub, HDR, and native Audio-to-Video in a single model
    • Scaling API usage where output quality, native 4K, and deployment flexibility matter at volume
    Try LTX-2.5 Now
  • CogVideoX 1.5 is best for

    • Developers fine-tuning lightweight open-source models on modest hardware
    • Research teams and engineers experimenting with video generation who want a low-cost, self-hostable starting point
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LTX-2.5 Model

LTX-2.5 is here. Sharper, faster, yours to build on.

A stronger foundation for the worlds already being built on LTX. Native multishot, precise editing, and 4K HDR output, built to hold up from first draft to final render. Learn More →

Multishot

Generate connected scenes, not single clips. Hold character, environment, lighting, and voice consistent across wide, medium, and close-up shots in one generation.

Auto Duration

Let the model set the pace. Clip length is predicted from the described action, so scenes land at the right duration without manual tuning.

Native HDR

Generate high-resolution HDR footage built for professional finishing. Output drops straight into your grading and color pipeline, ready for the big screen.

Volcano erupting with lava flowing down dark rocky terrain under a dusky sky.

Diffusion Fidelity Rendering

Generate every scene from a grid of high-fidelity keyframes that focus detail where it matters most. Get industry-leading pixel quality that holds up frame by frame, even on a cinema screen.

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Customer Voices

"The industry has long needed a bridge between generative AI and professional finishing standards. By moving past 8-bit SDR, we’ve eliminated the technical gap that kept AI assets from being used on high-fidelity displays and within complex spatial experiences. We’re no longer compromising on bit depth; we’re finally getting the dynamic range required for cinematic immersion in XR and virtual production. In the past, AI-generated content was a black box; you couldn't relight it or grade it without the image falling apart. Now, these assets behave like the real world, carrying the dynamic range needed to sit alongside traditionally captured elements. This gives our teams a professional-grade toolkit to integrate generative AI into their creative process."