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Model ScreenerGoogle DeepMindGoogle Veo 3
Google DeepMind

Google Veo 3

GOOGLE:VEO-3-GENMultimodal Video
BusyLoad:88%SLA:99.85%排队 3.5s
DeepMind Native Multimodal Generative Video Network
Base Rate
75 Credits / run
24h +8.12%

DeepMind native audio-visual video model mastering cinematic framing, focus pulling, and fluid temporal coherence.

24h Total Calls
0.89Mcalls
+8.12% vs yesterday
Total Generations
0.58Mvids
+7.4% · Cinema Camera 88%
Avg Latency (P50)
12.4s
8s Cinema 12.4s · Camera Paths
Availability SLA
99.85%
Failover <120ms

Model Telemetry & Volume Chart

GOOGLE:VEO-3-GENInvocations
38,955次+20.53%

Operational Performance

Production-grade Latency & Concurrency

P50 TTFT420 ms
P99 Latency18900 ms
Throughput TPS
Peak Concurrency480 req
Packet Loss Rate0.001%

Cost & Billing Matrix

Credits and Token Breakdown

Base Task Cost75 Credits
Input Cost / 1k Tokens¥0.025
Output Cost / 1k Tokens¥0.080
4K Upscale Multiplier2.2x
VIP Discount至高 20% 优惠

Technical Specifications

Parameters, Context & Resolutions

ArchitectureDeepMind Native Multimodal Generative Video Network
Parameters24 Billion
Context Window4,096 tokens
Max Resolution1080P Native (4K Cinema Post)
Max Duration8s Extended

Global Edge Gateways

Live Region Latency & Load Balancing

East China (Shanghai)
30ms
South China (Guangzhou)
34ms
Hong Kong Gateway
38ms
Asia Pacific (Singapore)
50ms
US West (Silicon Valley)
122ms
EU Central (Frankfurt)
148ms

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