Lightricks

LTX-2.3 Fast

Real-time variant of LTX-2.3 for rapid iteration, previews and interactive video workflows.

#40released Oct 8, 2026·Proprietary·Not disclosed
textvideo64K ctx
Intelligence
86.2 #40
AAQI 86.0
Output Speed
60 t/s
ITL 16.7 ms/tok
Blended price (3:1)
$0.05 /1M
In $0.05/M · Out $0.05/M
Context
64K
≈ 160 A4 pages · max out 2,048

Quality Domain Radar

6-Axis Frontier Evaluation vs Category Average & Flagship

LTX-2.3 Fast
Claude Mythos Preview (#1)
Average (68)
Coding (15)Mathematics (15)Hard Science (GPQA) (30)Agentic & Tool Use (20)Knowledge (MMLU) (45)Vision / Multimodal (93)

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

Strengths & Trade-offs

Where it wins

  • ~3× faster than the Pro tier
  • Cheapest per-clip price in the LTX line
  • Drop-in compatibility with Pro prompts

Trade-offs to watch

  • 1080p ceiling — no 4K or native audio
  • Noticeable detail loss on complex motion
  • Short clip lengths only

Killer Use Cases

Interactive previz
Live prompt iteration for directors and editors.
Social content at scale
Bulk short clips where turnaround beats fidelity.
Pro-tier drafting
Storyboard in Fast, re-render finals on Pro.

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-fast",
    "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 Fast — distilled video model
  • Distilled sampler — draft clips in seconds, not minutes
  • Same conditioning interface as the Pro tier
  • Optimized for preview-then-upscale workflows
  • Lower per-clip cost for high-volume iteration
Release date
Oct 8, 2026
Architecture
LTX-2.3 Fast — distilled video model
Parameters
Not disclosed
License
Proprietary
Context Window
64,000 tokens
Max Output
2,048 tokens
Modalities
text + video
Cache Pricing
read $0.01 · write $0.05 /1M
Reasoning
—
Input Price
$0.05/M
Output Price
$0.05/M
Output Speed
60 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{llmpodium2026ltx23fast,
  title = {Benchmark Analysis and Intelligence Evaluation of LTX-2.3 Fast},
  author = {LLMPodium Research},
  year = {2026},
  url = {https://llmpodium.com/models/ltx-2-3-fast}
}

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 Fast LLMPodium Score
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