Kwai

Kling 3.0 Pro

Advanced generative video architecture with physical simulation consistency, multi-angle camera trajectory, and 4K temporal coherence.

#24released Oct 1, 2026·Proprietary·Not disclosed
textvideo64K ctx
Intelligence
88.6 #24
AAQI 88.0
Output Speed
25 t/s
ITL 40.0 ms/tok
Blended price (3:1)
$0.1 /1M
In $0.1/M · Out $0.1/M
Context
64K
≈ 160 A4 pages · max out 2,048

Quality Domain Radar

6-Axis Frontier Evaluation vs Category Average & Flagship

Kling 3.0 Pro
Claude Mythos Preview (#1)
Average (68)
Coding (15)Mathematics (15)Hard Science (GPQA) (40)Agentic & Tool Use (25)Knowledge (MMLU) (60)Vision / Multimodal (98.8)

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

Strengths & Trade-offs

Where it wins

  • Beats Veo/Seedance-class rivals in blind professional evals
  • Strong physics — cloth, fluids, collisions stay coherent
  • Excellent image-to-video identity retention

Trade-offs to watch

  • No native audio track — pair with a TTS/score pipeline
  • Queue latency on long 1080p generations
  • English prompt adherence weaker than Chinese

Killer Use Cases

UGC ad clips
Short-form product and lifestyle ads at scale.
Previz & storyboards
Animated storyboards with consistent characters.
Product demos
Motion shots from a single reference image.

Developer Quickstart & API

Set KLING_API_KEY first — get an API key
curl -X POST "https://api.klingai.com/v1/videos/text2video" \
  -H "Authorization: Bearer $KLING_API_KEY" \
  -H "Content-Type: application/json" \
  -d '{
    "model_name": "kling-v3-0-pro",
    "prompt": "A drone shot gliding over a rainy neon city at night",
    "duration": "5",
    "aspect_ratio": "16:9"
  }'

Async video API — submit a task, then poll the task_id until the clip is ready.

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
Kling 3.0 — diffusion-transformer video model
  • Physical-simulation consistency across frames
  • Multi-angle camera coherence and motion control
  • Pro tier: 1080p output with multi-shot control
  • Text-to-video and image-to-video pipelines
Release date
Oct 1, 2026
Architecture
Kling 3.0 — diffusion-transformer video 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 $0.1 /1M
Reasoning
—
Input Price
$0.1/M
Output Price
$0.1/M
Output Speed
25 t/s
Time to First Token
—
Data Updated
Oct 5, 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{llmpodium2026kling30pro,
  title = {Benchmark Analysis and Intelligence Evaluation of Kling 3.0 Pro},
  author = {LLMPodium Research},
  year = {2026},
  url = {https://llmpodium.com/models/kling-3-0-pro}
}

Embed Score Badge

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

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Kling 3.0 Pro LLMPodium Score
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