Gemini Omni 1.1 Flash Text-to-Video API by Google

Gemini Omni 1.1 Flash — Text to Video

Model ID: google/gemini-omni-1.1-flash/text-to-video

Gemini Omni 1.1 Flash is Google DeepMind's natively multimodal model for video generation and editing. This variant turns a single text prompt into a fully rendered clip — picture and synchronized audio together — with control over duration, aspect ratio, and output resolution from a 360p draft all the way up to 4K.

Overview

Gemini Omni Flash is a single transformer that processes text, images, audio, and video simultaneously rather than stitching separate modality-specific pipelines together. The result is output that is more cohesive, more consistent across turns, and more controllable than a chained generate-then-dub workflow.

What sets it apart from earlier video models is that it natively generates audio with every video — dialogue, ambience, music, and sound design are produced together with the picture rather than added afterward. The model is grounded in Gemini's real-world knowledge, so it reasons about physics, narrative logic, culture, and visual composition to produce results that feel intentional and cinematic. Every generated clip carries an imperceptible SynthID watermark alongside C2PA Content Credentials for provenance verification.

What's new in 1.1

Version 1.1 is a control-and-fidelity upgrade over the first Omni Flash release:

• Flexible resolution output — new 4K and 1080p rendering for finished work, plus a fast 360p draft mode for previewing a shot before committing to a full-quality render.
• Longer continuous generation — shots can be extended segment by segment to a total of up to 40 seconds of coherent video.
• Precise shot start and end control — first and last frame can both be supplied, producing smoother camera moves, scene transitions, and seamless loops.
• Character and style consistency — a new video reference capability (clips of up to 3 seconds) substantially improves subject and art-direction stability.

How the five endpoints relate

AtlasCloud exposes Gemini Omni 1.1 Flash through five model IDs — text-to-video, image-to-video, reference-to-video, video-edit, and video-extend. All five route to the same underlying gemini-omni-1.1-flash model and differ only by the input modality they accept, corresponding to the model's task parameter (text_to_video, image_to_video, reference_to_video, edit, extend). This endpoint maps to text_to_video.

Inputs

This variant takes a text prompt only. Describe the subject, the action, the setting, the camera language, the lighting, the style, and the audio you want, and the model renders it in one pass.

• Prompt — natural-language description of the target scene, up to 20,000 characters. It is also where you direct the soundtrack: dialogue, score, foley, and ambience are all promptable.

Key Capabilities

• Text-only generation — a complete audiovisual clip from a single written description, no reference media required.
• Native audio generation — every clip is rendered with a synchronized soundtrack (speech, music, effects) driven by your description.
• Draft-to-final resolution ladder — iterate cheaply at 360p, then re-render the shot you like at 720p, 1080p, or 4K.
• Cinematic prompt understanding — shot framing, camera movement (push in, dolly zoom, locked-off, oner), lens character, lighting, and grade all respond to plain-language direction.
• World-grounded realism — physics, motion, and scene dynamics informed by Gemini's real-world knowledge of history, science, and cultural context.
• Adjustable reasoning — the thinking_level control trades latency for quality on complex prompts.
• Reproducible results — set a fixed seed to reproduce or iterate on a specific generation.

Input Parameters

A single generation call produces at most 10 seconds. To reach the model's 40-second ceiling, chain the result into the video-extend endpoint.

Prompting Tips

• Build the prompt from five elements: shot framing and motion, style, lighting, location, and action.
• Use real videography vocabulary — "one continuous shot," "static locked-off," "slow push in," "natural smartphone zoom" — to direct the camera precisely.
• Describe the audio explicitly. The model understands sync between picture and sound, so you can ask for motion timed to a beat or for specific ambience and dialogue.
• Draft at 360p while you iterate on wording, then re-run the winning prompt with a fixed seed at 1080p or 4k.

Use Cases

• Concept and pitch films — visualize an idea end to end, with sound, before any production spend.
• Social and ad creative — generate 16:9 and 9:16 cuts of the same concept from one prompt.
• Storyboard-to-motion — turn written scene descriptions directly into moving reference.
• Rapid iteration — sweep dozens of prompt variants in 360p draft mode, then finish the keeper in 4K.
• B-roll and establishing shots — produce filler footage that matches a described look and mood.

Pricing

Billing is based on the duration of the generated video, charged at a per-second rate that depends on the requested resolution.

SKUs

Formula

cost = max(3, duration) × resolution_rate

Where resolution_rate is $0.041 for 360p, $0.11 for 720p, $0.16 for 1080p, and $0.31 for 4k.

Notes and examples

• Billing is per second of generated video, with a 3-second minimum — a shorter request is still billed as 3 seconds.
• duration defaults to 10 and resolution defaults to 720p when not supplied.
• A 10-second 720p video costs 10 × $0.11 = $1.10.
• The same 10 seconds as a 360p draft costs 10 × $0.041 = $0.41.
• A 10-second 1080p video costs 10 × $0.16 = $1.60.
• A 10-second 4K video costs 10 × $0.31 = $3.10.
• A 3-second 720p video costs 3 × $0.11 = $0.33.