Kwai

Kling 3.0 Pro

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

#24dirilis 1 Okt 2026·Proprietary·Not disclosed
textvideo64K ctx
Penyedia APIJalankan Model →Peringkat
Inteligensi
88.6 #24
AAQI 88.0
Kecepatan output
25 t/s
ITL 40.0 ms/tok
Harga gabungan (3:1)
$0.1 /1M
Input $0.1/M · Output $0.1/M
Konteks
64K
≈ 160 halaman A4 · output maks 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)

Sumbu radar diaproksimasi dari skor kategori jika pengukuran benchmark langsung tidak tersedia — lihat Metodologi.

Kelebihan & Trade-off

Di mana ia menang

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

Hal yang perlu diperhatikan

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

Kasus Penggunaan Killer

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.

Quickstart Developer & API

Atur KLING_API_KEY dulu — dapatkan kunci API
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.

Sumber Daya & Tautan Resmi

Deployment API

Bandingkan host & latensi

Throughput, TTFT, dan harga cache di Groq, Cerebras, Together, DeepInfra, Fireworks, Bedrock, dan Azure.

GroqCerebrasTogether AIDeepInfraFireworks AIAWS BedrockAzure AI
Lihat matriks penyedia →

Skor per sumber

Spesifikasi Live & Arsitektur

Di balik kap
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
Tanggal rilis
1 Okt 2026
Arsitektur
Kling 3.0 — diffusion-transformer video model
Parameter
Not disclosed
Lisensi
Proprietary
Jendela konteks
64,000 tokens
Output maks
2,048 tokens
Modalitas
text + video
Harga cache
baca $0.02 · tulis $0.1 /1M
Penalaran
—
Harga input
$0.1/M
Harga output
$0.1/M
Kecepatan output
25 t/s
Waktu ke token pertama
—
Data diperbarui
5 Okt 2026

Estimasi tagihan bulanan

Estimasi pengeluaran bulanan
$0.00
Menghitung penghematan vs GPT-4o…

Kutip & sematkan

Badge Markdown GitHub
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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}
}

Sematkan Lencana Skor

Tambahkan lencana Podium Score langsung ke README GitHub atau Hugging Face Anda — menautkan ke peringkat langsung.

Pratinjau
Kling 3.0 Pro LLMPodium Score
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