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GoogleVideo modelPreview

Veo 3.1 Lite Preview

Clip lengthn/a

n/alongest single cliphigher is better

PopularityRank 670 of 875

0out of 100same as last month

Summary

Veo 3.1 Lite is the Lite tier of the Veo 3.1 line next to Veo 3.1 and Veo 3.1 Fast. It was released as a preview on March 31, 2026, and the model card lists the Gemini API, AI Studio, Vertex AI, Google Flow and Google Workspace.

It remains a preview on Vertex AI under veo-3.1-lite-generate-001. Only the Gemini API ID veo-3.1-lite-generate-preview was shut down on October 22, 2026.

What Veo 3.1 Lite Preview can do

“n/a” means the provider does not state it or we have not sourced it yet. That is not a “no”.

Text to videon/a
Image to videon/a
Referencesn/a
Audion/a
Runs locallynoSource
Extendn/a
Start and end framen/a
Max. resolutionn/a

All benchmark results

Every published result with its source, test setup and comparison models.

Show all 2 individual results from 1 source

Measurements without matching peer values

These measurements have no matching peer values under the same test conditions. Their original values and sources remain available here.

Veo 3.1 Lite T2V overall win rate vs Veo 3.1 Fast (Show measurement, test conditions, and source)
Source value
54.6
Score
54.6
Metric
Overall pairwise win rate for Veo 3.1 Lite versus Veo 3.1 Fast on text-to-video (T2V).
Unit
%
Benchmark version
Google DeepMind model card published April 2026; evaluation revision not stated
Category
video
Direction
Higher is better
Sample
1000
Source type
vendor-reported
Evaluator
Google DeepMind Veo 3.1 Lite model card
Status
active
Retrieved at
2026-10-28
Methodology
Vendor-reported result. Google DeepMind evaluates Veo 3.1 Lite against Veo 3.1 Fast. This row is the model-card overall win-rate for the stated task and prompt count. The card does not specify prompt selection, evaluator, number of generations or pairwise judgments, seeds, aggregation method, or uncertainty.
Context
The prompt count is reported, but it is not a count of repeated generations or independent judgments. No confidence interval or evaluation revision is given. This is Google's vendor-reported result.
Source Google DeepMind Veo 3.1 Lite model card
Veo 3.1 Lite I2V overall win rate vs Veo 3.1 Fast (Show measurement, test conditions, and source)
Source value
47.2
Score
47.2
Metric
Overall pairwise win rate for Veo 3.1 Lite versus Veo 3.1 Fast on image-to-video (I2V).
Unit
%
Benchmark version
Google DeepMind model card published April 2026; evaluation revision not stated
Category
video
Direction
Higher is better
Sample
646
Source type
vendor-reported
Evaluator
Google DeepMind Veo 3.1 Lite model card
Status
active
Retrieved at
2026-10-28
Methodology
Vendor-reported result. Google DeepMind evaluates Veo 3.1 Lite against Veo 3.1 Fast. This row is the model-card overall win-rate for the stated task and prompt count. The card does not specify prompt selection, evaluator, number of generations or pairwise judgments, seeds, aggregation method, or uncertainty.
Context
The prompt count is reported, but it is not a count of repeated generations or independent judgments. No confidence interval or evaluation revision is given. This is Google's vendor-reported result.
Source Google DeepMind Veo 3.1 Lite model card

Popularity compared

How often the model is searched for, used and mentioned, compared with every model of its category.

Popularity index

0 to 100, higher is more popular

20 of 98 models

As of November 2026 · Source: gradually.ai popularity index

Over time

Weekly values from November 1, 2026 to November 5, 2026

Veo 3.1 Lite PreviewKling 4.0 FlashKling 4.0Dreamina Seedance 2.5 720pPika 2.2

Veo 3.1 Lite Preview compared

Compare with another model

All specifications

Watermarking and provenance

AI watermarking refers to invisible signals embedded in the output. Visible marks and provenance metadata are listed separately. Unknown means there is insufficient evidence for that particular field.

AI watermarking
Subject to limitations. Google documents SynthID for videos from the former Gemini API preview endpoints. Those endpoints were shut down on October 22, 2026. Other access routes require separate verification.
Source: AI watermarking
Watermarking technique
SynthID
Source: Watermarking technique
Labelling reviewed
Nov 5, 2026
Source: Labelling reviewed

Licence and access

Weights
Proprietary
Source: Weights
Lifecycle
Preview through the documented Vertex AI model ID
Source: Lifecycle
Preview release
The Gemini changelog dates the Veo 3.1 Lite preview to March 31, 2026; model materials state that the Vertex AI endpoint became available on April 2.
Source: Preview release

API

Vertex AI model ID
veo-3.1-lite-generate-001 (preview since April 2, 2026)
Source: Vertex AI model ID

Further details

Active Vertex AI model ID
veo-3.1-lite-generate-001 is documented as a Vertex AI preview route; the source gives no shutdown date.
Source: Active Vertex AI model ID
Retired Gemini API alias
veo-3.1-lite-generate-preview was shut down in the Gemini API on October 22, 2026. That alias shutdown is not a global retirement of the Vertex AI model.
Source: Retired Gemini API alias
Other product access
Google names Gemini API, AI Studio, Vertex AI, Flow, and Workspace as Veo 3.1 Lite product surfaces, but does not document the exact model ID used by apps other than Vertex AI.
Source: Other product access
Gemini API model ID
veo-3.1-lite-generate-preview, shut down on October 22, 2026
Source: Gemini API model ID

Prices

Free to use at Google (Google AI Free, with limited credits), more from €4.99 a month (Google AI Plus, with limited credits). Through other providers from ≈ €6.36 a month (ElevenLabs Starter, with limited credits). 35 plans in Germany.

Filter plans
PlanMonthly priceNote
Google AI Freefreedeveloper's own plan, with limited credit
Google AI Plus€4.99developer's own plan, with limited credit
Google AI Pro€21.99developer's own plan, with limited credit
Google AI Ultra 5x€99.99developer's own plan, with limited credit
Google AI Ultra 20x€219.99developer's own plan, with limited credit
Lovable Freefreewith limited credit
ElevenLabs Starter≈ €6.36with limited credit
Krea Basic≈ €9.54with limited credit
Adobe Firefly Standard€10.98with limited credit
Leonardo.Ai Essential≈ €12.72
Recraft Pro≈ €21.20with limited credit
Adobe Firefly Pro€21.99with limited credit
ElevenLabs Creator≈ €23.33with limited credit
Recraft Teams≈ €23.33with limited credit, for teams, per seat
Lovable Pro€25with limited credit
Leonardo.Ai Team Starter≈ €25.45for teams, per seat
Leonardo.Ai Premium≈ €31.81
Krea Pro≈ €37.11with limited credit
Lovable Business€50with limited credit, for teams
Leonardo.Ai Team Growth≈ €50.89for teams, per seat
Adobe Firefly Pro Plus€54.99with limited credit
Leonardo.Ai Ultimate≈ €63.61
ElevenLabs Pro≈ €104.96with limited credit
Krea Max≈ €111.32with limited credit
Krea Business≈ €212.05with limited credit, for teams
Adobe Firefly Premium€219.98with limited credit
ElevenLabs Scale≈ €317.01with limited credit, for teams
ElevenLabs Business≈ €1,049.63with limited credit, for teams
Adobe Firefly Premium für Teamsn/awith limited credit, for teams, per seat
Adobe Firefly Pro für Teamsn/awith limited credit, for teams, per seat
Adobe Firefly Pro Plus für Teamsn/awith limited credit, for teams, per seat
ElevenLabs Enterprisen/afor enterprises
Krea Enterprisen/afor enterprises
Leonardo.Ai Customn/afor enterprises
Lovable Enterprisen/afor enterprises

All plans in the AI subscription comparison

Frequently asked questions about Veo 3.1 Lite Preview

Where can I use Veo 3.1 Lite Preview?

Free to use at Google. Including other providers that makes 35 plans in Germany.

Subscription comparison, prices in Germany incl. VAT

At Google

5 plans, free (Google AI Free).

Through other providers

30 plans from 6 providers, from ≈ €6.36 a month (ElevenLabs Starter), with limited credits.

Sources and data date

Show all 11 sources

Benchmark sources at a glance

Which independent evaluators tested this model. This is coverage, not a quality ranking.

No active result from the reviewed external evaluators can currently be attributed to this model. Other source evidence remains available below.

Without vendor claims and historical or disputed results; those stay labelled in the single values.