Gemini Omni 1.1 Flash Review: Features, Pricing & API

Part 1. What Is Gemini Omni 1.1 Flash and What Can It Do?

Gemini Omni 1.1 Flash Overview and Release Date

The gemini-omni-flash-preview endpoint was rolled out with the original model that June, and will be discontinued on August 27, 2026, with the release of Gemini Omni 1.1 Flash. The model ID for the API is gemini-omni-1.1-flash, and Google states that the older preview endpoint will remain until September 30, 2026, making it hard for those continuing to develop on that endpoint to have a deadline.

It's a multimodal model, which means that it accepts text, images, audio, and video as input, and doesn't use a simple one-shot generation call-it uses Google's Interactions API instead.

All of its videos have the sound effects, ambient noise, dialogue and sound effects synchronized, not a silent video that you have to add music to. It supports 360p, 720p, 1080p, and 4K in either 16:9 or 9:16 aspect ratio - although 1080p and 4K are technically "upscales" and not natively rendered.

What's New in Gemini Omni 1.1 Flash for AI Video Generation?

The basic features of the original Omni Flash have remained largely unchanged: text-to-video, image-to-video, reference-to-video, and conversational editing. The difference is the amount of control you are able to exert on the outcome.

• With no longer just the last frame of the previous scene to look at, the continuations are now read for up to 10 seconds before. Now the scene extension reads from up to 10 seconds of previous footage, which makes continuations much less jumpy than in previous versions.
• Clips are now able to be extended in 10-second increments up to 40 seconds total, as compared to the original's flat 10-second limit.
• First and last frame interpolation allows you to specify a first image and a last image and the model will interpolate between them and produce a smooth transition, which is good for an orbit, zoom and timelapse shots.
• The new 360p draft mode is about a third the price and 60% faster, and can be used to test ideas before you take the time to render an image at full quality.
• Short clips of video are now accepted as a reference, in addition to still images, so transferring a character or motion style between shots is more reliable.

None of these doesn't make Omni a completely new product. The same concept, only with the added detail that people have been seeking since the first release, of generating and editing video naturally with speech.

Part 2. How to Use Gemini Omni 1.1 Flash?

How to Use Gemini Omni 1.1 Flash in Google AI Studio

For anyone who just wants to try it without writing code, Google AI Studio is the easiest entry point.

Open AI Studio, pick Gemini Omni 1.1 Flash from the model list, and either type a prompt or upload a reference image or clip.

Google recommends being specific about the scene, camera movement, and lighting rather than a vague one-liner, since the model leans on those details to fill in the physics and framing of the shot.

Once a draft comes back, you can regenerate it, ask for a different resolution, or move straight into editing it through follow-up prompts.

How Does Gemini Omni 1.1 Flash Handle Video Editing and Extension?

This is where the Interactions API earns its keep. Instead of writing one long prompt and hoping the output matches, you generate a clip and then talk to it: swap out a background, change the time of day, have a character turn to face the camera. The model applies just the change you asked for and leaves the rest of the shot alone, which is a lot less fragile than regenerating from scratch every time something's off.

Extension works the same conversational way. You point the model at an existing clip, and because it now reads up to 10 seconds of that footage rather than a single frame, the continuation keeps lighting, character position, and motion consistent instead of resetting the scene. Chain enough of these together and you can build up to that 40-second cumulative cap.

Part 3. How Much Does Gemini Omni 1.1 Flash API Cost and How Do You Use It?

What Is the Gemini Omni 1.1 Flash API Model ID?

The stable model ID is gemini-omni-1.1-flash, available through the Gemini API and Google AI Studio. Google also lists it, marked as Preview, inside the Gemini Enterprise Agent Platform for teams building internal tools, and it shows up in Google Flow for anyone on an AI Plus, Pro, or Ultra subscription.

How Do You Use the Gemini Omni 1.1 Flash API?

The basic flow is a single call to the interaction's endpoint. You pass a text prompt (and optionally an image, audio clip, or reference video) along with a desired resolution, and the model returns the generated video as base64-encoded data. From there, refining the result is just another interaction call referencing the same session, describing the change you want in plain language rather than re-sending the whole prompt.

How Much Does the Gemini Omni 1.1 Flash API Cost?

Pricing runs on Google's standard token model, with video billed by resolution rather than a single flat rate:

• Input (text, image, video, or audio, all billed the same way): $1.50 per 1M tokens
• Text output: $9.00 per 1M tokens
• Video output: $17.50 per 1M tokens, with 720p billed at 5,792 tokens per second

Worked out per second, that lands at roughly these figures:

• 360p draft: about $0.03 per second
• 720p: about $0.10 per second
• 1080p: about $0.15 per second
• 4K: about $0.30 per second

So a full 10-second clip at 720p runs close to a dollar, while the same clip drafted at 360p first costs around thirty cents. There's no free tier and no batch discount, which makes the draft-then-upscale workflow genuinely worth using if you're testing a lot of prompts before committing to a final render.

What Are the Gemini Omni 1.1 Flash API Limits?

A few practical limits are worth knowing before building anything serious on top of this model:

• Single generations still cap at 10 seconds; anything longer requires chaining extensions up to the 40-second total.
• 1080p and 4K are produced as upscales of the base render, not generated natively at that resolution.
• Scene extension pulls context from up to 10 seconds of prior footage, so continuity past that window can drift.
• Google's own model card is upfront that complex motion, multi-step edits, and on-screen text accuracy are still areas where results can be inconsistent.

Part 4. Is Gemini Omni 1.1 Flash Better Than Previous Gemini Models?

Gemini Omni 1.1 Flash vs Gemini Omni Flash

The jump from the original Omni Flash to 1.1 is mostly about control rather than raw quality. The first version topped out at 10 seconds with no extension path and no way to set a specific end frame, so Google's own documentation used to point people toward Veo for anything needing scene extension or last-frame control. 1.1 folds those capabilities directly into Omni: 40-second cumulative scenes, first-and-last-frame interpolation, and a cheaper 360p tier for prototyping. Pricing at 720p hasn't moved, so you're getting more capability at the same headline rate.

Gemini Omni 1.1 Flash vs Other AI Video Generation Models

Against the rest of the field, Omni 1.1's biggest differentiator is still the conversational, multi-turn editing built into the Interactions API, most competing models treat generation and editing as two separate tools. Veo 3.1 remains Google's other option and is still the pick for some legacy pipelines, though Omni has closed a lot of that gap with this update. Compared to Sora or Kling-style models, Omni's native audio track and reference-to-video support give it an edge for anyone who wants a usable clip in one pass rather than stitching video and sound together afterward. Google claims a leading score on the Text-to-Video Arena leaderboard for Omni 1.1, though that's Google's own figure and hasn't been independently verified.

Is Gemini Omni 1.1 Flash Worth Using?

For anyone doing iterative creative work, ads, social clips, quick concept videos, the draft-then-upscale pricing and the conversational editing make this a genuinely practical tool rather than a novelty. Developers get a clear, resolution-based cost structure and a documented migration path off the old preview endpoint. The rough edges are the same ones Google admits to: motion still gets shaky in complex scenes, and text rendered inside a video isn't always reliable. If your use case leans on short, iterative clips, it's worth the price. If you need long-form, native 4K output straight out of the gate, you'll still want to size your expectations accordingly.

Part 5. Pro Tips: How to Enhance Gemini Omni 1.1 Flash AI Videos to 8K

Why Should You Enhance AI-Generated Videos After Generation?

Even with 4K listed as an output option, that resolution is an upscale of the original render, not a native 4K capture. That means fine details, skin texture, hair, fabric, background elements, can still look a little soft, and compression artifacts or faint noise tend to show up once you view the clip on a bigger screen or pull it into an editing timeline. Faces in particular are one of the first things to lose crispness during AI generation, since the model is predicting detail rather than recording it.

How to Upscale Gemini Omni 1.1 Flash Videos to 8K with HitPaw VikPea

This is where a dedicated video enhancer earns its place in the workflow. HitPaw VikPea AI Video Enhancer is built specifically to take footage like this, AI-generated or otherwise, and push it up to 8K while cleaning up the issues that generation models tend to leave behind: soft detail, noise, artifacting, and inconsistent facial rendering.

Key Features of HitPaw VikPea

• AI Video Repair: Corrupted, damaged, or low-quality video files have to be fixed.
• AI Generative Model: Restore low-resolution videos below 720p, including old films and VHS tapes, with enhanced detail and clarity.
• Colorize video: Natural black-and-white footage restorer and colorizer.
• Upscale video to 4K/8k: AI upscaling of low-resolution videos to 4k and 8k
• Custom resolution export: Export resolutions without difficulty to 5K and even 8k.
• Easy-to-use interface: Good enough to use by both amateurs and experts.

These are the characteristics that enable HitPaw VikPea to be a great pick when dealing with sophisticated resolutions.

How to Upgrade Video to 8K Video Resolution with HitPaw VikPea

Step 1: Install and Download

Go to the official website and download HitPaw VikPea. After it is installed, start the application and log in when it is necessary.

Step 2: Get Your Footage into Video Enhancer

Click on the left panel to open the Video Enhancer module. Press the icon to import your video file into the interface.

Step 3: Use the Appropriate AI Model

Along with a general model that applies enhancement overall, there are multiple specialized models that can be applied to the video as per particular enhancement needs.

You can apply other models like UHD Restoration Model that will further improve video quality of a high resolution 720p video, enhancing visibility and restoring sharpening.

Choose your preview length (3 or 5 sec). In case you need to improve only a few elements of the video, use the Cut tool. Fix the output resolution and format.

Tips: In case you are not sure what model to use, use AI Pilot. It will automatically examine your video and advise the most suitable enhancement.

Step 4: Preview and Save

After making all necessary adjustments, click on Preview to compare the before-and-after results of your video. This lets you clearly see the difference between the original and the enhanced version before finalizing.

Step 5: Export or Cloud Export

Once satisfied with the preview, select Export or Cloud Export to save your video. Enjoy enhanced videos with stunning clarity.

FAQs About Gemini Omni 1.1 Flash

Conclusion

Gemini Omni 1.1 Flash is less a reinvention than a fix for what people actually asked for after the first release: longer scenes, real frame control, and a cheap way to test ideas before spending real money on a finished render. Multimodal input, native audio, and conversational editing through the Interactions API are still the backbone of what makes it useful, and the new draft-then-upscale pricing makes it a lot more forgiving to experiment with.

Since even 4K output here is an upscale rather than a native capture, running your finished clips through HitPaw VikPea afterward is a straightforward way to sharpen detail, calm down noise, and clean up faces before the video goes anywhere final.