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Google: Veo 3.1 Lite

Source description (English)

Google's most cost-effective video generation model, designed for high-volume applications and rapid iteration. Veo 3.1 Lite generates 720p and 1080p video from text or image prompts with native synchronized audio...

Overview

Model specifications

Context
Not provided
Maximum output
Not provided
Architecture
text+image->video
Tokenizer
Other
Knowledge cutoff
Not provided
Moderated
No
OPENROUTER

Complete pricing

Synchronized OpenRouter rates. Token prices are shown per one million tokens.

Video (with audio)
$0.05
per second
  • 720p$0.05
  • 1080p$0.08
Video (no audio)
$0.03
per second
  • 720p$0.03
  • 1080p$0.05
API

Quick start

Set OPENROUTER_API_KEY locally. Python requires requests; JavaScript runs in Node.js. Keep the key on the server.

This creates a video job. Poll its status before downloading the completed video.

API documentation

curl --fail-with-body https://openrouter.ai/api/v1/videos \
  -H "Authorization: Bearer $OPENROUTER_API_KEY" \
  -H "Content-Type: application/json" \
  -d '{"model":"google/veo-3.1-lite","prompt":"A slow camera move across a sunlit mountain landscape"}'

# Replace JOB_ID with the returned id to check progress.
curl --fail-with-body "https://openrouter.ai/api/v1/videos/JOB_ID" \
  -H "Authorization: Bearer $OPENROUTER_API_KEY"
Capabilities

Input → Output

Input
textimage
Output
video
API

Supported API parameters

max_tokensresponse_formatseedtemperaturetop_p
Available providers

1 Provider

Checked: September 7, 2026

Live providers on OpenRouter

Provider availability, latency, throughput and routing can change continuously. Open the source page for current operational data.

OpenRouter

Google

Not provided
Context
Not provided
Maximum output
Not provided
google

4 models

All models
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Google: Gemini 4 Argon

Gemini 4 Argon is Google's flagship reasoning model, built for complex software engineering, deep mathematical and scientific problem solving, and autonomous multi-step agents. Google trained it to keep context across...

Context
1.0M
Input
audio · file · image · text · video
Output
text
Input: $2Output: $10per 1M tokens
View model details →
google logogoogle

Google: Gemini 4 Argon (batch)

Gemini 4 Argon is Google's flagship reasoning model, built for complex software engineering, deep mathematical and scientific problem solving, and autonomous multi-step agents. Google trained it to keep context across...

Context
1.0M
Input
audio · file · image · text · video
Output
text
Input: $1Output: $5per 1M tokens
View model details →
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Google: Nano Banana 2.1

Nano Banana 2.1 (Gemini Nano Banana 2.1) is Google's image generation and editing model on the Flash tier, succeeding Nano Banana 2 and Nano Banana Pro. It improves product recontextualization,...

Context
66K
Input
image · text
Output
image · text
Input: $1.5 per 1M tokensOutput: $7.5 per 1M tokens
View model details →
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Google: Gemini 3.5 Transcribe

Gemini 3.5 Transcribe is a speech-to-text model from Google. It is suited for synchronous transcription that needs word-level timestamps or speaker diarization, with support for up to eight speakers. Audio...

Context
98K
Input
audio
Output
transcription
Input: $2 per 1M tokensOutput: $12 per 1M tokens
View model details →