GPT Image 2 vs Nano Banana 2 for AI images
Choose GPT Image 2 when short exact in-image copy is central to a fixed square design. Choose Nano Banana 2 when you need five frame ratios or a 1K to 2K size choice. GPT Image 2 is designed for accurate in-image text, but neither path removes the need to proofread.
GPT Image 2
A fixed 1K square path through fal with three disclosed quality tiers and a focus on accurate in-image text.
- Best fit
- Posters, signs, labels, and other square concepts where short exact copy is part of the generated image.
- Output
- One fixed 1024 by 1024 image
- Cost
- Low: 1 credit. Medium: 5 credits by default. High: 18 credits
Nano Banana 2
Kanvora's default Google-direct text-to-image path with five frame ratios and a 1K or 2K choice.
- Best fit
- A prompt-only image that needs a non-square frame or a 2K output choice.
- Output
- One 1K or 2K image
- Cost
- 4 credits at 1K, 5 credits at 2K
Compare the same decision criteria
The matrix compares only live Kanvora controls and prices. It does not turn a provider capability statement into a guarantee or infer a quality winner from one image.
| Criterion | GPT Image 2 | Nano Banana 2 | Decision rule |
|---|---|---|---|
| In-image text | Designed for accurate in-image text; exact copy still requires proofreading | No Kanvora text-accuracy guarantee | Use GPT Image 2 when generated lettering is central, then compare every character with the brief. |
| Frame | Fixed 1:1 square | 1:1, 16:9, 9:16, 4:3, or 3:4 | Choose Nano Banana 2 when the destination is not square. |
| Output size | Fixed 1024 by 1024 | 1K or 2K | Choose Nano Banana 2 when 2K is a fixed requirement. |
| Quality control | Low, Medium, or High; Medium is the disclosed default | No separate quality tier on this Kanvora path | Raise GPT Image 2 quality only when the 18-credit High attempt is justified; it is not a correctness guarantee. |
| Credits | Low 1, Medium 5, High 18 | 1K 4, 2K 5 | Compare the intended tier, not only the lowest advertised number. |
| Provider path | fal / openai/gpt-image-2 | Google direct / gemini-3.1-flash-image | Use the provider route required by your workflow or vendor policy. |
On smaller screens, this matrix scrolls inside its own frame. The page itself does not scroll sideways.
Use a prepared text direction without inventing a benchmark
The GPT Image 2 card is a safe prepared direction, not a rendered result. The Nano Banana 2 image is an official stored Kanvora proof from a different prompt and is not evidence of a universal winner.
GPT Image 2 typography direction
Create a square typographic poster for an imaginary neighborhood library event. Exact headline: NIGHT READING Exact subheading: FRIDAY 8 PM Composition: headline centered in the upper half, subheading below, one simple open-book shape at the bottom Light and visual treatment: cream paper, deep navy ink, crisp screen-print edges, generous spacing Must avoid: people, logos, trademarks, extra words, watermarks
Short fictional event copy, an explicit hierarchy, and no people, logos, or trademarks. Medium quality is attached by default.
Open this direction
AI-generated · Kanvora officialNano Banana 2 official proof
A stored 1K square from the live Google-direct path. It uses another prompt and is not a text-rendering benchmark.
Nano Banana 2 · 1:1 · Generated Aug 20, 2026Kanvora keeps the GPT Image 2 proof slot empty until a source-tracked output is approved. Capability and pricing are disclosed from the live registry and fal documentation, while visual quality still needs repeated controlled evaluation.
Choose by the constraint that changes the answer
Each scenario names the frame, text burden, and acceptable spend before opening the creator. Higher quality is never presented as guaranteed correctness.
You need a square concept with two short exact lines of copy.
Signal: Generated lettering is part of the concept, and 1K is enough for review.
Choose GPT Image 2 Medium.Open the Medium text rehearsalMedium is the sustainable disclosed default at 5 credits and keeps the model's in-image text focus without silently paying for High.
You need a cheap rough layout before refining the direction.
Signal: A fixed square is acceptable and the output is disposable exploration.
Choose GPT Image 2 Low.Open the Low draft rehearsalLow costs 1 credit. Treat it as a draft and still proofread all visible copy.
You need a 16:9, 9:16, 4:3, or 3:4 destination frame.
Signal: Cropping a square afterward would break the composition.
Choose Nano Banana 2.Open the Nano Banana 2 framing rehearsalNano Banana 2 exposes the five live Kanvora ratios; GPT Image 2 is fixed to a square in this slice.
You are considering the 18-credit High tier.
Signal: The square direction is final, Medium has been reviewed, and the higher supplier tier has a specific role.
Use High deliberately, or stop at Medium.Open the High tier with the same briefHigh costs 18 credits because documented 1024-square COGS is about $0.211. It can raise quality, but cannot guarantee exact text.
Account for tier changes as new paid attempts
Changing model, size, or GPT Image 2 quality creates a separate request. Preserve the copy and composition brief, change one variable, and record why the additional attempt is worth its credits.
Switching and handoff costs
- A quality or model switch creates a separate credit hold and provider request.
- GPT Image 2 High costs 18 credits, over three times the 5-credit Medium default.
- Moving to Nano Banana 2 changes the provider route and can change composition even with the same prompt.
- Every text-led result still needs character-by-character proofreading and production layout review.
What the comparison cannot prove
- A model designed for accurate in-image text does not guarantee perfect lettering.
- Higher quality does not prove that a word, number, logo, or factual detail is correct.
- One official image and one prepared direction cannot establish a universal quality winner.
- Credit price does not predict whether the first output will satisfy a specific art direction.
Choose the text burden, frame, and tier before the model.
Both creator links carry a legal operation, model ID, safe prepared prompt, and supported settings. Sign-in and safety checks remain at the real generation boundary.