A lot of creator work is still-image work, even if you never generate a second of video. The thumbnail, the first frame of an image-to-video clip, a product shot for a shop listing, a title card where every letter has to be right: all of that is still-image work, and a still costs a fraction of what a few seconds of video does. Which model you pick matters less than knowing what each one is documented to do well, and where its own maker says it falls short.
This guide covers two image-model families: Google's Nano Banana Pro and OpenAI's GPT Image 2.5 in its Flare and Sunburst variants, with a note on Flux and Midjourney. It sticks to strengths the vendors document, links each spec and price to its source, and gives prices as of October 2026. They change often, so check them before you budget.
Image models make the thumbnail and the opening frame. For the streams, podcasts and long videos you already have, ClipSpeedAI finds the strongest moments, cuts them to vertical 9:16, burns in captions and gives each clip a viral score.
Try ClipSpeedAI →The two families were built with different priorities. Both are in ClipSpeed's AI Creator lineup; Flux and Midjourney, covered further down, are not.
| Nano Banana Pro | GPT Image 2.5 (Flare / Sunburst) | |
|---|---|---|
| Vendor's pitch | Correct, legible text in images | Flare: the fast default. Sunburst: precision for campaign and product images |
| Output size | 1K, 2K or 4K | Up to 3840×2160; anything above 2560×1440 is labeled experimental |
| Edits existing images | Yes | Yes, both variants |
| Transparent background | Not listed in our sources | Yes, both variants |
| API price | $0.134 per image at 1K or 2K, $0.24 at 4K, half price in batch | Token-based, same rate for both variants; exact rate unconfirmed (see below) |
| Provenance | SynthID in every image; C2PA in the Gemini app, Vertex AI and Google Ads | C2PA metadata plus an invisible watermark |
| Limits the vendor lists | Infographics can be factually wrong; multilingual text can contain errors | Above 2560×1440 is experimental |
A note on GPT Image 2.5 pricing: OpenAI says both variants cost the same as GPT Image 2, billed per token, but its own pages disagree on the per-token rate. Until that is settled I'm not quoting a per-image figure. Check the price on your own account before you plan a big batch.
A thumbnail has three jobs: a subject you can read at phone size, a few words at most, and a promise the video keeps. Image models help with the first two. Our thumbnail strategy guide for Shorts covers the design side; this is how the models fit in.
Both families edit as well as generate, so a dependable pattern is to start from a real photo of you, or the actual frame from your video, and change the background, light or crop around it. The thumbnail stays true to the video, and you avoid a face that is almost yours. The risk sits in generating someone else. Generating a public figure or a copyrighted character without rights is a real risk. TikTok, for one, bans fake endorsements by public figures and the likeness of anyone under 18 even when the content is labeled.
On the Gemini API, Nano Banana Pro costs $0.134 per image at either 1K or 2K, so picking 1K saves nothing. (It launched at $0.139.) 4K costs $0.24, which is worth it for print or a heavy crop and not much else. Twenty thumbnail candidates at 2K come to $2.68, or $1.34 through batch.
Nano Banana Pro images made in the Gemini app carry a visible sparkle for free and AI Pro users. Google removes it for Ultra subscribers and in AI Studio. The invisible SynthID watermark is in every image on every plan. If you need a thumbnail without the visible mark, make it in AI Studio or on an Ultra plan rather than cropping the sparkle out. SynthID stays either way.
Before you commit to a thumbnail, shrink it to the size it shows in a phone feed, read every word letter by letter, and check that the moment it shows is actually in the video.
In image-to-video, your still is the first frame of the clip. Composition, light, the product's shape and any text are settled before you pay for video, and the video model's main job becomes motion. The full process is in our image-to-video workflow guide. These are the image-model decisions that feed it.
If you'd rather not juggle separate subscriptions, ClipSpeed's AI Creator puts Nano Banana Pro and both GPT Image 2.5 variants side by side with five video models in one workspace: Seedance 2.5, Kling 3.0 Turbo, MiniMax H3 Max, Veo 3.1 and Gemini Omni 1.1 Flash. A rough split: Veo 3.1 or Gemini Omni 1.1 Flash when you have a first and last frame, Seedance 2.5 for a stack of reference stills or a single take of up to 30 seconds, and Kling 3.0 Turbo or MiniMax H3 Max for quick variants, since both are fast and cheap on their makers' own APIs. Generations use ClipSpeed creation credits (see pricing).
Product imagery is where OpenAI pitches Sunburst directly: slower than Flare, more precise, and aimed at campaign and product images. Whichever model you use, the safe pattern for a real product is the same.
Google positions Nano Banana Pro as its model for "correctly rendered and legible text." Its own model page lists the limits: infographics can come out factually wrong, and multilingual text can contain errors. The words can be spelled right and the facts in them still be wrong.
For a thumbnail title, generate it in the image if the model gets it right on the first few tries, and switch to an overlay in your editor if it doesn't. Burning retries to fix one letter costs more than typing it.
Flux and Midjourney also come up in creator image workflows. I haven't verified their current versions, prices, output limits or license terms for this guide, so I'm not quoting any of them here. That isn't a judgment on quality; it means you should check their own pages before you compare. If you're weighing one of them against the two models above, run the same test on each:
Both families mark their output. Nano Banana Pro embeds SynthID in every image and writes C2PA metadata in the Gemini app, Vertex AI and Google Ads. GPT Image 2.5 writes C2PA metadata plus an invisible watermark, and OpenAI's system card also mentions SynthID. Google's SynthID Detector portal is open to everyone (in English) and also detects partner content, including OpenAI's.
Platforms read those signals. TikTok automatically labels content carrying C2PA Content Credentials from other platforms, and Meta's "AI info" label uses C2PA and other industry signals. The metadata can be lost when a file passes through tools that don't support it, but that doesn't remove your obligation. TikTok requires a label on AI-generated content showing realistic scenes or people, and YouTube requires disclosure of realistic synthetic content in your videos. Our AI disclosure rules guide covers each platform.
On ownership, the US Copyright Office says purely AI-generated material isn't copyrightable and that prompts alone don't give enough control, while human-authored elements, arrangement and modifications can be protected. Google's Gemini API terms don't claim ownership of your output but note that similar output may be generated for others. OpenAI says you own your output, including for commercial use, subject to its terms. By the Copyright Office's reasoning, the parts of a thumbnail or product shot that can be protected are the ones a person made: your own photo, your text, your layout. This is not legal advice; check the current terms, and see our guide to using AI video commercially.
For creators, image models do three jobs: thumbnails, start frames for video, and product stills. Nano Banana Pro is the model Google positions for legible text, and its per-image price is public: $0.134 at 1K or 2K and $0.24 at 4K as of October 2026, so generate at 2K. GPT Image 2.5 gives you a fast default in Flare and a more precise Sunburst for product and campaign work, with transparent backgrounds and output up to 3840×2160 (experimental above 2560×1440), but confirm its token price on your own account. All three run side by side in ClipSpeed's AI Creator if you want to test them on the same brief. Start from real photos where you can, keep information-carrying text in overlays you control, approve the still before you pay for video, and label realistic results where the platform asks.
If you also have long videos or streams, use ClipSpeedAI clipping to turn them into captioned vertical clips, or connect it to Claude from our MCP page.
What is the best AI image generator for YouTube thumbnails in 2026?
It depends on the thumbnail. If it carries words, Nano Banana Pro is the model Google positions on text, calling it "the best model for creating images with correctly rendered and legible text." GPT Image 2.5 Flare is OpenAI's default for most uses, with 50% lower latency than GPT Image 2, and it edits existing photos too. For most thumbnails, edit a real photo or video frame rather than generating a face, and proofread every letter at phone size before you publish.
How much does Nano Banana Pro cost per image?
On the Gemini API, Nano Banana Pro costs $0.134 per image at 1K or 2K and $0.24 at 4K as of October 2026, and batch jobs cost half. Because 1K and 2K are the same price, there is no saving in generating at 1K.
What is the difference between GPT Image 2.5 Flare and Sunburst?
Both were released on September 8, 2026. Flare is the smaller model and OpenAI's default for most uses, which OpenAI says beats GPT Image 2 on quality at 50% lower latency. Sunburst is the base model: slower, more precise and aimed at campaign and product imagery. Both generate and edit, support transparent backgrounds and output up to 3840×2160 (anything above 2560×1440 is labeled experimental), and they are billed at the same token rate. OpenAI's pages disagree on that rate, so check it on your account.
Can I use an AI-generated image as the first frame of an AI video?
Yes. That is image-to-video: your still becomes the first frame and the video model animates it. Veo 3.1 and Gemini Omni 1.1 Flash also accept a last frame, which you can make by editing the first one. Get the still right before you animate: a 2K Nano Banana Pro image costs $0.134 on the Gemini API, while an 8-second Veo 3.1 Standard clip at 720p costs $3.20. Our image-to-video workflow guide covers the steps.
Do AI-generated images have watermarks?
Both models covered here mark their output. Nano Banana Pro embeds an invisible SynthID watermark in every image, adds C2PA metadata in the Gemini app, Vertex AI and Google Ads, and shows a visible sparkle in the Gemini app for free and AI Pro users. GPT Image 2.5 writes C2PA metadata plus an invisible watermark. TikTok automatically labels content that carries C2PA Content Credentials.
Is Flux or Midjourney better than Nano Banana Pro or GPT Image?
We haven't verified current versions, prices or terms for Flux or Midjourney, so this guide doesn't rank them. Neither is in ClipSpeed's AI Creator, which offers Nano Banana Pro and both GPT Image 2.5 variants for images. Test each candidate on your own work: text accuracy over five tries, editing your own photo, output size, cost per image you would actually post, provenance marks and the commercial terms of the plan you would pay for.
Does ClipSpeedAI generate AI images?
Yes. ClipSpeed's AI Creator includes three image models, Nano Banana Pro, GPT Image 2.5 Flare and GPT Image 2.5 Sunburst, alongside five video models: Seedance 2.5, Kling 3.0 Turbo, MiniMax H3 Max, Veo 3.1 and Gemini Omni 1.1 Flash. The image and video models sit side by side in one workspace under one account, and generations use ClipSpeed creation credits (see pricing). Flux and Midjourney aren't in the lineup. ClipSpeed also does AI clipping, which turns long videos and streams into captioned vertical clips.
Published by ClipSpeedAI · AI video generation and AI clipping in one place — create with Seedance, Veo, Kling and Nano Banana, then cut it into captioned shorts.