Model comparison
GPT-Image-2 vs Nano Banana 2
Compare GPT-Image-2 and Nano Banana 2 using the same provider-sourced image generation rubric. No mystery score and no invented benchmark ranking.
Facts checked September 4, 2026
Model comparison
Compare GPT-Image-2 and Nano Banana 2 using the same provider-sourced image generation rubric. No mystery score and no invented benchmark ranking.
Facts checked September 4, 2026
Set your usage. Your estimate updates as you type.
Example output: square 1,024 × 1,024 images. Prices depend on supported resolution and quality; edits and retries can cost extra.
Estimates exclude taxes, tools, cache storage/writes, free allowances and custom discounts. Image estimates cover output only, not prompt or reference-image charges. Quality modes differ by model. Unlisted settings are not treated as free.
| Model | Access | Estimated total (USD) |
|---|---|---|
| Nano Banana 2Google | $0.67 | |
| GPT-Image-2OpenAI | OpenAI | No reviewed rate |
Quick take
OpenAI's current image model for detailed generation and editing, especially complex prompts, text-heavy visuals, and high-fidelity source images.
Do not treat the lowest per-image price as typical: quality, resolution, input images, and thinking/token use all change the final bill.
Google's versatile image workhorse for fast generation, conversational edits, multiple references, grounded imagery, and outputs up to 4K.
There is no free API tier for this model, and grounded generation can add search charges beyond the image price.
Compare the published facts
Values use each provider's own published units and limits. A blank means the provider did not publish a directly comparable value in the sources reviewed.
| Image generation | GPT-Image-2 | Nano Banana 2 |
|---|---|---|
| Typical price basisA representative current provider price with its quality or resolution basis. | $0.006–$0.211 at 1024² on fal | $0.067 / 1K image |
| Maximum outputMaximum documented resolution or pixel area for the listed route. | Up to about 4K / 8.29MP on fal | 0.5K, 1K, 2K, 4K |
| Core tasksWhether the model supports generation, editing, or both. | Generation and editing | Generation and conversational editing |
| Reference imagesHow the model can use images to guide or edit an output. | High-fidelity image input | Multiple references and multi-turn edits |
| Text & layoutProvider-documented positioning for typography and structured composition. | Designed for detailed text-heavy images | Improved multilingual text rendering |
| API accessDirect and notable third-party routes included in this guide. | OpenAI, fal | Gemini API, fal |
How to choose
Start with the job you need to complete, then validate cost, access, and policy details on your exact provider route.
For direct OpenAI API use, API content is not used for training by default and standard retention controls apply. fal stores request input/output by default, but its no-store header can prevent payload storage; uploaded CDN files require separate handling.
Provider and API links
Google says paid Gemini API content is not used to improve its products. Unpaid-service terms differ, so confirm that the project is attached to an active billing account before sending confidential material.
Provider and API links
Frequently asked questions
GPT-Image-2: OpenAI's current image model for detailed generation and editing, especially complex prompts, text-heavy visuals, and high-fidelity source images. Nano Banana 2: Google's versatile image workhorse for fast generation, conversational edits, multiple references, grounded imagery, and outputs up to 4K.
Consider GPT-Image-2 when your priority is Text-heavy graphics and infographics. Consider Nano Banana 2 when your priority is Conversational image editing. Test both with your own data and provider route before committing.
No. This comparison aligns provider-published facts for the Image generation category. It does not claim a universal winner or combine incompatible third-party benchmark scores.