Correction, 2026-10-02: this page ranked models on how well they render text ("the reliable option", "decorative only", "one word lands often", "the ordering has been stable"). Those labels came from an impression, not a measurement, so the ranking is gone: the page now says what to check and how to cut the risk. It also priced the no-text route at 6 credits on "Seedream 5"; 6 is Seedream 5 Lite, and the Seedream tool opens on Seedream 5 Pro at 7 (13 at 2K). It left out GPT Image 2, which the GPT Image tool opens on at high quality (29 credits for a square image, 20 for other shapes). It listed Imagen 4 as a budget option, but we cannot currently confirm Imagen 4 is working on 8frame, so it is not recommended. And it called setting the type yourself a zero-credit route: the image without text still costs credits; only the type you add costs none.
Correction, 2026-10-01: an earlier version gave Flux Edit a flat price of 7 credits. Flux Edit (FLUX.2 [pro] edit) bills by input plus output megapixels: about 7 for a 1 MP image, about 20 for a 2048 x 2048 image, around 36 for a 12 MP phone photo. Kontext Max is a flat 13.
Words inside a generated image go wrong in recognisable ways: letters that look like writing and spell nothing, a word with one letter swapped, a character from no alphabet, spelling that changes from one take to the next. A higher price does not rule any of that out. We have not measured which model on 8frame gets text right most often, so this page does not rank them. It gives you the prices, what to check, and how to keep the risk small.
The short version: if the model has to draw the words, start with Nano Banana Pro (21 credits), which Google pitches for legible text, run the same prompt on GPT Image 2 for a second take, and read every letter in every output. If the words have to be exactly right, generate the image without them and set the type yourself.
TL;DR
- No ranking here. We have not measured text accuracy, so this page gives prices and checks, not a league table
- If the model has to draw the words: Nano Banana Pro at 21 credits (42 at 4K), then GPT Image 2 on the same prompt: it opens on high quality, 29 credits for a square image, 20 for other shapes
- Check every letter in every output, at full size, against the words you meant, not against your prompt
- Cut the risk: a word or two, large, on a plain surface; anything longer, set it yourself
- Exact words every time: generate the image without text (the Seedream tool opens on Seedream 5 Pro at 7 credits) and add the type in an editor, or on a text layer in the 8frame Video Editor when the words belong to a video. The type you add yourself costs no credits
What an image costs on 8frame
Credits per image from the 8frame app, checked 2026-10-02; a credit is about $0.01 at pack rate. The last column says what the tool does before you change anything, not how well the model spells.
| Model | Credits per image | Worth knowing |
|---|---|---|
| Nano Banana 2 | 8 / 11 / 17 / 22 at 0.5K / 1K / 2K / 4K | What the Nano Banana tool opens on (1K, 11); up to 4 images per run |
| Nano Banana Pro | 21 at 1K and 2K, 42 at 4K | Google pitches it for legible text |
| Nano Banana Classic | 6 | Shown as "Standard" in the picker |
| GPT Image 2 | Low 2, medium 8 (6 for other shapes), high 29 (20 for other shapes) | Opens on high; up to 4 images per run |
| Seedream 5 Pro | 7 at 1K, 13 at 2K | What the Seedream tool opens on |
| Seedream 5 Lite | 6 | 2K or 3K |
| Seedream 4 | 5 | Previous generation, still hosted |
| FLUX.2 [pro] | 5 | What the Flux tool opens on |
| FLUX 1.1 Pro | 6 | One flat price |
| Qwen Image 3 | 6 at 1K, 11 at 2K | Up to 6 images per request |
| Grok Image 2.0 | 6 to 15 | 9 at 1K (the default), 6 on Low, 11 at 2K; references add 1 or 2 each |
| Reve 2.1 | 34 | Same price to generate, edit or remix |
| Midjourney V8 | 32 per job of four, 8 per image | V7 (28) is still in the picker; we cannot confirm it is working on 8frame, so it is not recommended |
| Imagen 4 (Fast / Standard / Ultra) | 4 / 8 / 12 | Still in the picker; we cannot confirm it is working on 8frame, so it is not recommended |
| Flux Edit (FLUX.2 [pro] edit) | about 7 for a 1 MP image, more for larger ones | Changes an existing image from an instruction; what the Flux Kontext tool opens on |
| Kontext Max | 13 flat | The other option in the Flux Kontext tool |
For the whole roster compared on sizes, shapes and reference limits, see the best AI image generator in 2026.
What to look for in generated text
No model on 8frame guarantees spelling, and none tells you when it got a word wrong, so the check is yours. The failures to look for:
- a letter swapped, doubled or dropped, so the word still looks right at a glance
- letterforms that belong to no alphabet, often in small or background text
- extra words you did not ask for, or the right word in the wrong place
- spelling that changes between takes of the same prompt
- a digit or character off in a number, price, date or URL
How to cut the risk
Keep it short. Every extra letter is one more to get wrong and one more to check. Put a word or two in the frame; anything longer, set it yourself.
Make it big and plain. Ask for large type on a flat, plain surface facing the camera. Small text, text at an angle, text on a curved or textured surface and text in the background are harder to check, so if you need them, zoom in on every one.
Spell it out in the prompt. Put the exact words in quotes and say where they sit and how big they are: a shop sign above the door that reads "OPEN LATE" in large white capitals. If you ask for "a sign" without words, the model may fill it with lettering you did not ask for.
Other alphabets. For Cyrillic, Arabic, Chinese, Japanese or Korean text, have someone who reads the script check every character, or set the type yourself. Google (for Nano Banana Pro) and fal (for GPT Image 2) both describe text in several languages as a strength; we have not tested it.
Budget for takes. Three Nano Banana Pro images at 1K cost 63 credits, about $0.63; three GPT Image 2 square images on high cost 87, about $0.87. None of them is guaranteed to be right. Nano Banana 2 and GPT Image 2 can return up to 4 images from one run, so you can compare takes side by side.
When the words must be exact, keep them out of the generation
- Generate the image with no text at all. Describe the scene and leave the area where the type will go plain and uncluttered. The Seedream tool opens on Seedream 5 Pro at 7 credits (13 at 2K); Seedream 5 Lite is 6 and FLUX.2 [pro] is 5.
- Add the type yourself. In your design editor: your real font, your exact words, and a file you can change later without generating again. If the words belong to a video, put them on a text layer in 8frame's Video Editor rather than in the generated frame.
- If it has to look printed on something, generate the image with a blank sign, poster or label in frame, then set the type onto it in your editor and blend it into the surface.
The image costs 7 credits on the Seedream default instead of 21 on Nano Banana Pro, the typography is yours rather than an approximation of it, and the file stays editable. For a logo, a price, a URL or a legal line, this is the route we recommend.
When to let the model draw the words
- Text that belongs to the scene in a way an overlay cannot fake: reflected, wrapped around a curve, lit by the scene.
- Speed over control, when you need twenty social cards today and can afford to throw away the ones with errors.
- Exploration, when you are working out what a composition with words in it should look like before you build it properly.
For these, start with Nano Banana Pro: Google says it generates "more accurate, legible text directly in the image in multiple languages". Then run the same prompt on GPT Image 2, which fal, the provider 8frame runs it through, describes as built for "text-heavy image generation", and compare. Those are the vendors' descriptions, not our measurements.
The check before you ship
Read the text out loud from the image. Not from your prompt, from the image, letter by letter, at full size. Do it for every output, including the takes that looked right at a glance: generated type fails in ways your brain autocorrects when you already know what it should say, which is how a misspelled product name ends up in a published image. Check names, numbers, prices, dates and URLs character by character, and have a second person read anything that will be printed or paid for.
FAQ
Which AI image model is best at text? We have not measured it, so we do not rank models on spelling. On 8frame, start with Nano Banana Pro (21 credits, 42 at 4K), which Google pitches for legible text, try GPT Image 2 on the same prompt, and check every letter in every output. For words that must be exact, set the type yourself.
Can I fix text in an image I already generated? You can try. The Flux Kontext tool changes an existing image from an instruction such as "change the sign to read OPEN LATE": Flux Edit (FLUX.2 [pro] edit), which the tool opens on, is about 7 credits for a 1 MP image and more for larger ones; Kontext Max is a flat 13. Check the result letter by letter, and if a word is still wrong, generate again or set the type yourself.
What about text in other alphabets? We have not tested Cyrillic, Arabic or CJK text on 8frame. Have someone who reads the script check every character, or generate the image without text and set the type yourself.
Is a more expensive model safe for text? No model is. A higher price buys a different model or setting, not correct spelling: check every output, on every model.
Sources
- Nano Banana Pro and legible text in multiple languages: Google, "Nano Banana Pro" (published 2025-11-20), checked 2026-10-02
- GPT Image 2 described as built for "text-heavy image generation" and for text in Chinese, Japanese, Korean and other scripts: fal, GPT Image 2 model page, checked 2026-10-02
- Every 8frame price and tool default on this page (Nano Banana 2 8 / 11 / 17 / 22 and its 1K default, Nano Banana Pro 21 / 42, Nano Banana Classic 6, GPT Image 2 per-image table and its high-quality default, Seedream 5 Pro 7 / 13 and its default, Seedream 5 Lite 6, Seedream 4 5, FLUX.2 [pro] 5, FLUX 1.1 Pro 6, Qwen Image 3 6 / 11, Grok Image 2.0 6 to 15, Reve 34, Midjourney V8 32 per four, Imagen 4 4 / 8 / 12): the 8frame app, checked 2026-10-02
- Flux Edit (FLUX.2 [pro] edit, billed on input plus output megapixels) and Kontext Max (flat 13): the 8frame app, checked 2026-10-02
- Imagen 4 and Midjourney V7 working state not confirmed: 8frame internal production check, 2026-10-01
- Text layers in the Video Editor: 8frame Video Editor, checked 2026-10-01
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