Lightricks

LTX-2.3 Pro

Lightricks’ production video model — 4K output, synchronized audio and multi-shot control.

#20released Oct 8, 2026·Proprietary·Not disclosed
textvideo64K ctx
Intelligence
89.1 #20
AAQI 89.0
Output Speed
18 t/s
ITL 55.6 ms/tok
Blended price (3:1)
$0.12 /1M
In $0.12/M · Out $0.12/M
Context
64K
≈ 160 A4 pages · max out 2,048

Quality Domain Radar

6-Axis Frontier Evaluation vs Category Average & Flagship

LTX-2.3 Pro
Claude Mythos Preview (#1)
Average (68)
Coding (15)Mathematics (15)Hard Science (GPQA) (38)Agentic & Tool Use (22)Knowledge (MMLU) (50)Vision / Multimodal (97)

Radar axes are approximated from category scores where direct benchmark measurements are missing — see Methodology.

Strengths & Trade-offs

Where it wins

  • 4K + audio in a single pass — unique in class
  • Multi-shot consistency for narrative content
  • Precise camera and keyframe control

Trade-offs to watch

  • Pro-tier pricing per clip
  • Closed weights — API only
  • Queue latency at peak hours

Killer Use Cases

Production video pipelines
4K deliverables with baked audio for ads and shorts.
Multi-shot storytelling
Character-consistent sequences for narrative clips.
Post-production assists
Extend/reframe existing footage with keyframe control.

Developer Quickstart & API

Set OPENROUTER_API_KEY first — get an API key
curl https://openrouter.ai/api/v1/chat/completions \
  -H "Authorization: Bearer $OPENROUTER_API_KEY" \
  -H "content-type: application/json" \
  -d '{
    "model": "lightricks/ltx-2-3-pro",
    "messages": [{"role": "user", "content": "Refactor this function for O(n) time and explain the change."}]
  }'

OpenRouter-compatible endpoint — one API for 300+ models.

Official Resources & Links

API deployment

Compare hosts & latency

Throughput, TTFT and cache pricing across Groq, Cerebras, Together, DeepInfra, Fireworks, Bedrock and Azure.

GroqCerebrasTogether AIDeepInfraFireworks AIAWS BedrockAzure AI
View providers matrix →

Scores by Source

Head-to-head Live Matchups

Live Specs & Architecture

Under the hood
LTX-2.3 Pro — video foundation model
  • Native 4K generation with synchronized audio track
  • Multi-shot sequencing — keeps characters consistent across cuts
  • Camera-path and keyframe conditioning for directors
  • Frame-accurate edit and extend modes
Release date
Oct 8, 2026
Architecture
LTX-2.3 Pro — video foundation model
Parameters
Not disclosed
License
Proprietary
Context Window
64,000 tokens
Max Output
2,048 tokens
Modalities
text + video
Cache Pricing
read $0.02 · write $0.12 /1M
Reasoning
—
Input Price
$0.12/M
Output Price
$0.12/M
Output Speed
18 t/s
Time to First Token
—
Data Updated
Oct 22, 2026

Estimated monthly bill

Estimated monthly spend
$0.00
Calculating savings vs GPT-4o...

Cite & embed

GitHub Markdown badge
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BibTeX
@misc{llmpodium2026ltx23pro,
  title = {Benchmark Analysis and Intelligence Evaluation of LTX-2.3 Pro},
  author = {LLMPodium Research},
  year = {2026},
  url = {https://llmpodium.com/models/ltx-2-3-pro}
}

Embed Score Badge

Add a live Podium Score badge to your GitHub or Hugging Face README — it links back to the live ranking.

Preview
LTX-2.3 Pro LLMPodium Score
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