Ultra-Fast Cinematic Generation
Generate 1080p clips up to 4x faster than the standard tier. Perfect for rapid prototyping where speed is essential for creative workflows.
Veo 3 Fast
google veo 3 fast is Google DeepMind's low-latency video model. Built for speed, it renders 10s clips with high temporal stability and cinematic motion. Ideal for rapid prototyping and high-volume social media content creation at 60fps.
API Usage Examples
curl --request POST "https://gptproto.com/api/v3/google/veo3-fast/image-to-video" \
--header "Authorization: Bearer $GPTPROTO_API_KEY" \
--header "Content-Type: application/json" \
--data '{
"prompt": "A tiny origami fox sailing a teacup across a moonlit puddle",
"image": "",
"aspect_ratio": "16:9",
"last_image": "",
"enhance_prompt": true
}'Veo 3 Fast pricing
Start from the cost of a single sample and pick a testing budget. GPTProto rates are 60% below list price.
| Scenario | Google list | OpenRouter | GPTProto | You save / mo |
|---|---|---|---|---|
| Short product ads30 × 8s / mo | $36.00 | $37.98 | $14.40 | −$21.60≈ $259.20 / yr |
| Social clips60 × 5s / mo | $72.00 | $75.96 | $28.80 | −$43.20≈ $518.40 / yr |
| Bulk generation100 × 10s / mo | $120.00 | $126.60 | $48.00 | −$72.00≈ $864.00 / yr |
Save $0.00 / month
Annual savings ≈ $0.00 · pay as you go
Related Models
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Veo 3 FastCurrent
Google · $0.48 per second
Model
Price: GPTProto
vs Official
vs OpenRouter
Resolution
Stability
Veo 3 FastCurrent
Google
$0.48per second
-60%
-62%
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google veo 3 fast: Standout Model Features
Explore the technical advantages of using google veo 3 fast. From cinematic camera controls to high temporal stability, this google model leads in generative video performance and speed.
google Flow-Consistency Tech
Proprietary architecture reduces background warping and subject morphing, ensuring high temporal stability across every frame of your video.
Precise Cinematic Camera Control
Use directorial prompts like 'dolly zoom' or 'rack focus' with 92% accuracy, giving you professional control over every shot composition.
Physics-Aware Video Rendering
Advanced understanding of fluid dynamics and lighting reflections ensures that every motion follows the laws of physics for maximum realism.
google veo 3 fast: Common Developer Questions
Understand how to integrate google veo 3 fast into your workflow. Learn about latency, pricing, and how this google model handles high-fidelity video generation for enterprise use cases.
What is the generation speed for google veo 3 fast?
This model is built for rapid iteration. It can generate a 5-second, 30fps video clip in roughly 25 to 40 seconds. This makes it significantly faster than standard tiers, allowing developers to prototype cinematic concepts or social media assets in near real-time without compromising on physics-aware rendering or subject consistency.
Does google veo 3 fast support image-to-video?
Yes, you can provide an image as a starting point. By using the Image-to-Video feature, the model transforms static assets into dynamic lifestyle videos or environmental loops. This is particularly useful for e-commerce product showcases or game development backgrounds where maintaining the visual identity of a specific source image is critical.
What are the native resolution and frame rate limits?
The model natively supports resolutions up to 1080p. Unlike many other generators, it can render at a native 60 FPS. This creates exceptionally smooth high-motion sequences without the need for post-processing interpolation. You can specify frame rates of 24, 30, or 60 FPS in your API request to match your specific project requirements.
How is google veo 3 fast priced on GPTProto.com?
Standard generation costs $0.15 per second of video. For high-definition 1080p/60fps outputs, the price is $0.25 per second. By using GPTProto.com, you benefit from a 5% discount over direct Vertex AI retail rates for Tier 2 users, along with unified billing and automatic failover across different Google Cloud regions for higher uptime.
What is the maximum duration for a single video request?
Each request is currently capped at a 10-second maximum duration. This constraint ensures the model maintains high-fidelity subject consistency and temporal stability throughout the clip. If your project requires longer narrative sequences, we recommend using the standard tier or stitching multiple 10-second segments together manually.
Is my data used to train the google foundation models?
No. Privacy and security are top priorities for enterprise users. When you call this model through our API, Google DeepMind does not use your input prompts or the generated video outputs to train their underlying foundation models. Your data remains isolated, ensuring your intellectual property and creative assets are fully protected.
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