LTX Models (LTX-2, LTX-2.3) vs Kling 3.0

LTX is the enterprise infrastructure choice for 2026: native 4K, on-prem deployment, and a first-party API at $0.04/sec with zero vendor dependency. Kling 3.0 is a closed cloud platform where your data and outputs remain outside your control.

LTX-2.3 vs Kling

LTX is the enterprise infrastructure choice for 2026: native 4K, on-prem deployment, and a first-party API at $0.04/sec with zero vendor dependency. Kling 3.0 is a closed cloud platform where your data and outputs remain outside your control.

Kling 3.0

Developer

Lightricks
Kuaishou

Parameters

22B
Undisclosed

Open Source

Yes
No

On-Prem

Yes (self-host)
No

OUTPUT QUALITY

Native 4K Rendering

Yes (3840×2160)
No (1080p Std; claimed 4K Pro)

Max Video Length

20 sec (Fast) / 10 sec (Pro)
3–15 sec

Frame Rate (fps)

Up to 50 fps
24 fps (Std) / up to 60 fps (Pro)

SPEED & COST

8 sec FHD Generation Time

~15 sec (H100 cloud)
30–120 sec (cloud)

API Pricing
(per second of video)

$0.04/sec (Fast 1080p) $0.06/sec (Pro 1080p) $0.16/sec (Fast 4K) $0.24/sec (Pro 4K)
$0.084/sec (Std) $0.112/sec (Pro) $0.126/sec (with audio)

Free Access

Yes – open-source + free Desktop app
Limited – 66 free credits per day on free plan

Subscription Plans
(non-API access)

Free (self-host & Desktop)
Free (66 cr/day); Std $5.99/mo; Pro $29.99/mo; Premier $54.99/mo

CAPABILITIES

Text-to-Video

Yes
Yes

Image-to-Video

Yes
Yes

Retake

Yes (LTX Retake)
No

HDR Output

Yes
No

Extend

Yes
No

LipDub

Yes
No

Audio-to-Video

Yes – native multimodal
Yes – native (Omni)

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

All four
Text + Image + Audio (Omni)

Motion Control

Yes – full control
Yes – camera, motion brush

Character Consistency

Yes – via LoRA fine-tuning
Yes – Elements system

Content Moderation / Limits

No limits (open source)
Strict (no NSFW; no toggle; humans allowed; political/government content filtered; IP restricted)

DEVELOPER & ENTERPRISE

LoRA / Fine-tuning

Yes – LoRA + IC-LoRA
No

Fully Customizable

Yes
No

Runs on Consumer-Grade GPUs

Yes
No – cloud only

ComfyUI / Diffusers Support

Yes
No

SUMMARY

Best For

Enterprise teams needing on-prem deployment, full model customization, IP protection, and zero marginal cost at scale
Creators producing cinematic content with native audio
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Customer Voices

Success, Engineered Together

"For professional studios, this level of control is not optional.
Training and steering video models like LTX is the most viable way to align AI with real production needs, where predictability, ownership, and creative intent matter as much as visual quality"
Mohamed Oumoumad
CTO, Gear Productions
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The LTX Stack

Build, Create, and Scale with LTX

Production-grade video generation models designed to hold up under real workloads. Built for long sequences, precise motion, and high-fidelity output  from fast iteration to final-quality renders. Learn More →

HDR Output

Delivered as an IC-LoRA on LTX-2.3. Generate directly in HDR or convert existing SDR footage to EXR. More grading latitude, more range, ready for real finishing pipelines.

Native Portrait

Generate vertical video up to 1080×1920 — trained on portrait-orientation data, not cropped from landscape.

Audio to Video

Generate video where voice, music, and sound effects define structure, pacing, and motion.Built for production-grade workflows that require precise, harmonious control over audio-led scenes - from podcasts and avatars to voice-driven clips -not one-off demos or talking heads.

20 sec Clip

Extend creative range with long-form generation. Produce up to 20 seconds of high-fidelity video with complete control and consistent style.

Which model is best for my business?

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LTX is best for:

  • Bullet point 1 — LTX is best for this use case
  • Bullet point 2 — LTX is best for this use case
  • Bullet point 3 — LTX is best for this use case
  • Bullet point 4 — LTX is best for this use case

Kling 3.0 is best for:

  • Bullet point 1 — Competitor is best for this use case
  • Bullet point 2 — Competitor is best for this use case
  • Bullet point 3 — Competitor is best for this use case