


Veo 3.1 Lite is Google's video model family for developers building scalable production pipelines. Depending on the endpoint, use flexible duration options, create an 8 second transition between defined first and last frames, or generate in common aspect ratios. Atlas Cloud brings these capabilities under one OpenAI compatible key with transparent pay as you go pricing and streamlined API access. Start building today.
Veo 3.1 Lite is developed by Google. Atlas Cloud (operated by Atlas Cloud AI LLC) provides access to it and does not own it. All trademarks belong to their respective owners.
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Choose the Veo 3.1 Lite endpoint that matches your source material, output controls, and production workflow.
| Modality | Description |
|---|---|
| Veo 3.1 Lite T2V API (Text to Video) | Turn text prompts into 720p or 1080p video with synchronized audio and flexible duration options. Built for price-efficient, high-volume generation, this endpoint suits automated content pipelines, marketing assets, and rapid concept production. |
| Veo 3.1 Lite Start-End Frame to Video API | Provide a first frame and a last frame to generate an 8-second video with motion and audio between them. Use this developer-oriented endpoint for controlled transitions, product reveals, visual transformations, and defined scene endings. |
| Veo 3.1 Lite I2V API (Image to Video) | Animate an input image into a 720p or 1080p video with synchronized audio and support for common aspect ratios. Cost-efficient processing makes it suitable for scalable image animation, social content, advertising creatives, and visual storytelling workflows. |
Veo 3.1 Lite brings text, single image, and first and last frame generation into one Atlas Cloud API, with synchronized audio, 720p or 1080p output, flexible clip lengths, landscape and portrait framing, seed control, and transparent pay as you go pricing.
Turn natural language prompts into finished video with Veo 3.1 Lite. It renders 4, 6, or 8 second clips at 720p, with 1080p available for 8 second outputs. Direct the subject, setting, action, camera movement, lighting, and sound in one prompt. This path suits rapid concept films, campaign variations, and high volume storytelling workflows.
Start from a single image up to 8MB and animate it into a 4, 6, or 8 second video at 720p, or an 8 second video at 1080p. A motion prompt guides subject behavior, camera movement, atmosphere, and audio while the image anchors the opening composition. Use it to turn product shots, artwork, portraits, or storyboard frames into motion assets.
Define both the first and last frames, each up to 8MB, then let the model generate the motion between them. Choose 4, 6, or 8 seconds at 720p, or use 8 seconds for 1080p output. Add prompt based action and audio cues to shape the connecting sequence. This controlled path fits transformations, before and after reveals, and storyboard transitions.
Veo 3.1 Lite produces synchronized audio with video across text, image, and start and end frame workflows. Write dialogue in quotes and describe sound effects or ambience inside the prompt so the soundtrack follows the scene. From footsteps matching a chase to sizzling food in a kitchen, audio arrives as part of the generated clip for more complete storytelling.
Select 720p or 1080p output, 16:9 or 9:16 framing, and 4, 6, or 8 second durations. For 1080p, set the duration to 8 seconds; 4K output and video extension are not supported. A seed parameter can aid repeatable experimentation without guaranteeing identical results, giving developers practical control over prototypes, social assets, and production candidates alike.
Access all three Veo 3.1 Lite generation modes through the Atlas Cloud API with transparent pay as you go billing. Each listed Lite endpoint carries a verified standard base price of $0.05. Move among text, single image, and first and last frame workflows inside one integration. This setup makes scalable video experimentation easier to budget and maintain.
Compare how Veo 3.1 Lite and two Atlas Cloud alternatives interpret the same action packed video prompt through motion, camera control, visual continuity, and synchronized sound.
An 8–10 second high-precision retro sci-fi animated film sequence set inside a zero-gravity orbital greenhouse: a consistent vintage astronaut in a cream pressure suit with copper fittings urgently chases a luminous blue seed that has escaped from a transparent cultivation pod. Begin with an extreme macro shot from inside a floating water droplet, the astronaut and seed sharply refracted through its trembling curved surface; rapidly pull back as his reaching arm strikes the droplet, bursting it into hundreds of physically accurate glistening beads. Transition into a dynamic 360-degree orbiting wide shot as he propels himself through drifting leaves and roots, but a living vine suddenly coils around his ankle and jerks him backward. Without breaking motion, he grabs a rotating copper handrail, swings around it with believable zero-gravity momentum, kicks free of the vine, and launches toward the observation window. Flip smoothly into first-person helmet POV—gloved hands close around the seed against the vast blue Earth—then the seed instantly blossoms into a tiny radiant blue flower crown. End with a rapid push-in to the flower’s crystalline petals, where the curved Earth appears reflected in exquisite detail. Alternating cold cyan Earthlight and pulsing amber emergency illumination, deep navy shadows, copper-gold hardware, fluorescent blue bioluminescence, intricate fluid dynamics, elastic vine motion, natural inertia, continuous high-density action, strong subject and costume consistency, dramatic narrative twist, premium hand-crafted retro-futurist animation feature quality, crisp cinematic detail, subtle film grain. Audio: muffled suit breathing, metallic handrail vibration, soft impacts, scattered water droplets chiming against glass, rising analog-synth pulse, then a delicate crystalline bloom at the reveal. No screens, no software interfaces, no dashboards, no gauges, no progress bars, no charts, no captions, no text, no logos, no watermark. 16:9 aspect ratio.
Generated with Veo 3.1 Lite Text-to-video on Atlas Cloud
Generated with Kling V3.0 Turbo Text-to-Video on Atlas Cloud
Generated with Gemini Omni Flash Text-to-Video on Atlas Cloud
A photorealistic retro slapstick chase unfolding in one seamless 8–10-second sequence: on a stormy night inside a timeworn 1950s barbershop, an expressive barber has just covered his customer’s face in thick shaving foam when the customer’s shoe accidentally stomps a brass floor pedal, launching the chrome barber chair into a rapid spin and rolling it through the open door, its vivid red cape snapping behind it as a continuous visual anchor. Begin with a tight push-in through their perfectly consistent reflections in the rain-speckled mirror; whip-pan as the mechanism clicks, then drop to a ground-skimming tracking shot beside the rattling casters as the chair crosses the threshold and races into a narrow neon-soaked alley. The barber sprints after it without breaking stride, holding a straight razor safely aloft in one hand and a steaming towel in the other, dodging puddles, crates, and swinging signs while rain splashes naturally from every impact and the wet red cape twists with convincing weight and airflow. Arc into a fast orbit around the spinning chair as thunder flashes; the barber grabs a sagging clothesline, swings across the alley, releases beside the customer, matches the chair’s rotation, and precisely shaves the final narrow stripe of foam from the chin—an exhilarating comic finish with consistent faces, wardrobe, reflections, prop positions, spatial continuity, realistic rain, cloth, wheel, and momentum physics. Warm tungsten amber from the shop collides with cyan-blue rain and magenta neon, cinematic widescreen composition, richly textured period production design, subtle film grain, crisp motion, no slow motion, no captions, no text, no interface, no graphics. Synchronized audio: pedal clunk, accelerating wheel rattle, razor scrape timed to the final stroke, towel flutter, splashing footsteps, neon buzz, and a sharp thunderclap punctuating the landing, with playful brass-and-snare chase music rising to the final beat. 16:9 aspect ratio.
Generated with Veo 3.1 Lite Text-to-video on Atlas Cloud
Generated with Kling V3.0 Turbo Text-to-Video on Atlas Cloud
Generated with Gemini Omni Flash Text-to-Video on Atlas Cloud
Veo 3.1 Lite turns prompts, still images, and paired keyframes into videos with synchronized audio for social campaigns, product visuals, story prototypes, and scalable content production.
Turn text prompts into 720p or 1080p videos with synchronized audio. Produce repeatable short video assets for social calendars, creator campaigns, and content teams that need efficient output at scale across channels.
Use the text to video endpoint to turn revised prompts into new videos with flexible duration options. Marketing teams can explore multiple creative directions before selecting concepts for paid and organic campaigns.
Animate a product image into a 720p or 1080p video with synchronized audio. Build motion assets for ecommerce listings, launch pages, and visual campaigns while preserving the supplied image as the starting point.
Define the first and last frames, then let the model generate the connecting motion with audio. This workflow lasts eight seconds and suits animatics, scene transitions, motion studies, and storyboard sequences with controlled endpoints.
Start from a written scene and generate video with synchronized sound in one workflow. Directors, designers, and creative developers can test pacing, atmosphere, and visual direction before committing resources to production.
When an approved still already exists, animate it into video instead of beginning from text. Editorial teams and content producers can adapt campaign artwork, illustrations, or key visuals into repeatable video assets.
Compare Veo 3.1 Lite with other video APIs by input route, clip duration, resolution, synchronized audio, and standard per-second pricing.
| Model | Input Route | Output Duration | Resolution Options | Synchronized Audio | Standard Price |
|---|---|---|---|---|---|
| Veo 3.1 Lite Text-to-video | Text | 4, 6, or 8 sec | 720p, 1080p | √ | $0.05/sec |
| Veo 3.1 Lite Start-End Frame to Video | Text, first frame, last frame | 4, 6, or 8 sec | 720p, 1080p | √ | $0.05/sec |
| Veo 3.1 Lite Image-to-video | Text, image | 4, 6, or 8 sec | 720p, 1080p | √ | $0.05/sec |
| Seedance 2.0 Mini Text-to-Video | Text | 4 to 15 sec, or automatic | 480p, 720p, up to 1440p-SR | √ | $0.056/sec |
| Wan-3.0 Text-to-video | Text | 2 to 30 sec, or smart duration | 480p, 720p, 1080p; ESR up to 4K | √ | $0.05/sec |
| Kling V3.0 Turbo Text-to-Video | Text | 3 to 15 sec | 720p, 1080p | √ | $0.112/sec |
Get started in minutes — follow these simple steps to integrate and deploy models through Atlas Cloud's platform.
Sign up at atlascloud.ai and complete verification. New users receive free credits to explore the platform and test models.
Combining the advanced Veo 3.1 Lite models with Atlas Cloud's GPU-accelerated platform provides unmatched performance, scalability, and developer experience.
Low Latency:
GPU-optimized inference for real-time reasoning.
Unified API:
Run Veo 3.1 Lite, GPT, Gemini, and DeepSeek with one integration.
Transparent Pricing:
Predictable per-token billing with serverless options.
Developer Experience:
SDKs, analytics, fine-tuning tools, and templates.
Reliability:
99.99% uptime, RBAC, and compliance-ready logging.
Security & Compliance:
SOC 2 Type II, HIPAA alignment, data sovereignty in US.
Veo 3.1 Lite is Google's high-efficiency video generation model for cost-conscious, high-volume workflows. It creates video with synchronized audio from text prompts, input images, or specified start and end frames.
Choose text-to-video for prompt-based creation, image-to-video for animating a still image, or start-end frame-to-video for guiding motion between two frames. Atlas Cloud provides a dedicated endpoint for each workflow.
Create an Atlas Cloud API key, then submit a POST request to the video generation endpoint with the appropriate model ID and required inputs. The response includes a prediction ID that you can poll until the output is ready.
Yes. The text-to-video and image-to-video endpoints generate synchronized audio, while the start-end frame workflow adds audio to the motion created between the supplied frames.
All three verified endpoints support 720p and 1080p output. This model family does not support 4K generation.
The verified standard base price is $0.05 for each of the three Atlas Cloud endpoints. Billing is pay-as-you-go, and this is the standard price rather than a temporary promotional rate.
Provide the opening frame, closing frame, and a prompt describing the intended motion between them. The verified Atlas Cloud backend profile lists an 8-second workflow with audio and either 720p or 1080p output.
Lite prioritizes price efficiency for scalable video workloads while retaining synchronized audio and 720p or 1080p output. Its main boundaries are the lack of 4K output and video Extension support.
When visual anchoring matters, use image-to-video or provide both start and end frames instead of relying only on text. Describe subject motion, camera behavior, scene changes, and audio cues clearly so the request supplies more explicit constraints.
First confirm the bearer authorization, exact model ID, required prompt or image fields, and supported resolution settings. If a prediction reaches a failed status, inspect the returned error before changing the payload or submitting another request.
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