Veo 3
Google's Native-Audio Video Model
Google's third-generation text-to-video model, released May 2025 and integrated into Gemini and Google Vertex AI by summer. Headline capability: native synchronized audio generation (speech, music, sound effects) at the same time as the video — beating Sora 2 (which added native audio in September 2025) to that capability by 4 months.
Why it matters
Veo 3 demonstrated that Google's model labs could ship at the frontier of a major modality on Google's calendar, not in response to OpenAI. The shipping capability matters more than the specific Veo 3 release for the longer-term competitive positioning.
Core Capabilities
Generative
Produces images, video, audio, or other media.
Audio
Speech, music, or other audio understanding/synthesis.
Multimodal
Combines text, vision, and audio in one model.
Context Window
Context window not disclosed.
Availability
API
Available
Product / App
Available
Open Source
Not released
Enterprise
Contact sales
Pricing Model
Pay per token
Input and output billed separately.
Pay-per-token Capability / Performance
Where this model sits relative to the middle 60% of models in the tree. All scores are 0–10 (higher is better).
Lower 20% Upper 80% This model
Quality
No data reported · placeholder
5.0
Speed
No data reported · placeholder
5.0
Control
No data reported · placeholder
5.0
Consistency
No data reported · placeholder
5.0
Lower 20% 20th percentile — 20% of models score below this This model Where the current model lands Upper 80% 80th percentile — only 20% of models score above this
Percentile boundaries are computed across every model in the tree that reports the underlying benchmark for each capability.
What it feels like
- First Google video model with native synced audio — dialogue, effects, ambient soundscape from one model
- Sound is generated from raw pixels of the video itself, not stitched as a post-process
- Lip-syncing and dubbing are the standout strength — realistic conversation in generated scenes
- Up to 8s clips in 1080p; some configurations support 4K — covers draft and finished-quality use cases
- Audio sync only works on first attempt for ~25% of generations — needs iteration
- Best at scene composition / camera direction when prompts are detailed and structured
Best use cases
- Cinematic short-form content where audio integration matters (ads, trailers, social)
- Character dialogue scenes — best lip-sync of any major video model at release
- Storyboard-to-finished-shot pipelines via Vertex AI for studio workflows
- Replacing two-model stacks (video + voice generation) with one
Tools to try
Not ideal for
- Long-form (>8s) coherent narrative shots
- Frame-perfect creative control — limited keyframe editing vs Runway / Kling
- Workloads where the 25% audio-on-first-try hit rate is unacceptable