GoogleGoogle·video

Veo 3.1 Fast

Text-to-video
Advertised as fal-ai/veo3.1/fastveo3.1-fast-text-to-video
Quick reference
Veo 3.1 Fast — TLDR
  • 🆕 Veo 3.1 builds on Veo 3's physics, realism, and native audio
  • 👁️ Google DeepMind's narrative-driven video model with strong realism
  • 💬 Generates synchronized sound effects, ambient noise, and dialogue natively
  • ⚡ "Fast" tier is the speed-optimized variant of the Veo 3.1 family
  • 🎯 Emphasis on cinematography and narrative-driven scene generation
  • 🏢 Used by Promise Studios and Volley in production workflows
  • 🌐 Available in text-to-video and image-to-video variants
💰 Best price on Antseed
$0.060
per second of video · cheapest seller
🐜 Sellers
4
advertising on Antseed
🔬 Model checks
Not audited yet
no audit of this model so far
📏 Context
—
Provider

Google is an American multinational technology corporation and one of the world's most valuable brands. A subsidiary of parent company Alphabet Inc., Google operates across search, cloud computing, consumer electronics, and artificial intelligence. Its DeepMind and Google…

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About this model

Veo 3.1 Fast is the "Fast" tier of Google DeepMind's Veo 3.1 text-to-video family, intended for quicker generation rather than maximum fidelity. It sits alongside the higher-fidelity Veo 3.1 Full Quality and an image-to-video counterpart, Veo 3.1 Fast, letting creators draft before committing to final renders.

Compared with the prior-generation Veo 3 Fast, Veo 3.1 carries forward Veo 3's real-world physics and natively generated audio while adding refinements aimed at narrative work. Google DeepMind emphasizes greater realism and fidelity built on Veo 3's underlying physics and audio foundation. The model generates ambient noise, sound effects, and dialogue natively.

As a narrative-driven model, Veo 3.1 focuses on cinematography and realistic, physically grounded scene generation, building on the audio and motion capabilities introduced in Veo 3.

As a Google DeepMind model, Veo 3.1 has been adopted in production pipelines: Promise Studios uses it for generative storyboarding and previsualization, while Volley powers in-game cinematics with it. The "Fast" designation targets workflows needing quicker generation while retaining Veo 3.1's underlying capabilities.

Sources
deepmind.googleVeo 3.1 — Google DeepMind· deepmind.google

This About section is AI-generated from public sources via VeniceStats + Venice inference, with no human editing. It may contain inaccuracies.

Usage on Antseed · Veo 3.1 Fast
Videos generated
599
40 min of video · $308.65
Requests
599
settled calls
Buyers
8
distinct, on this model
Sellers used
3
of 4 advertising
Settled
$308.65
gross USDC, this model

Daily usage · Veo 3.1 Fast · Organic sellers

Top sellers · Veo 3.1 Fast · Organic

Sellers serving Veo 3.1 Fast (4)compare on the network explorer →
SellerHealthRep↓SalesVideoRouting$ / s$ / video

"Best price" and the seller table are live Antseed catalog data (advertised $/1M tokens — or $ per generated image for unit-billed image models — not settled amounts). Reputation = buyer trust score (0-100, the Antseed SDK's own formula). "Routing" = the SDK's default buyer routing (what the VPR desktop app ships with): a trust ≥ 60 gate on the effective reputation, then cheapest-first among routable sellers; live failover state (per-peer cooldowns) is buyer-side runtime and not included. Model knowledge (TLDR, provider, About) via the VeniceStats enrichment layer. Advertised catalog, not the model used in any specific purchase. "Usage on Antseed" counts only settlements whose buyers share the per-model split on-chain (metadata v2/v3, opt-in), so every usage figure is a lower bound.