GPT Image 2 vs Nano Banana 2: A Three-Task Test

Anonymous community contributor (alias): Tidepool Projector Published：2026-07-07 Category：Comparisons

Hands-on report | Findings first | August 10, 2026

Measured date: August 10, 2026 Test model: GPT Image 2, Nano Banana 2, Nano Banana 2 Lite

If you only look at the current nine images: In Flux Art, I would prefer to use GPT Image 2 for text, materials, and disabling items to ensure stability. For a more natural lifestyle atmosphere, I would try Nano Banana 2 first. For quick composition, Lite is more like a low-cost sketchpad. This division of labor comes from three controlled tasks, not from the long-term ranking of models.

Task	First choice in this round	Why?	What still needs attention
Chinese promotional poster	GPT Image 2	Three lines of correct Chinese, complete cup details.	Whitespace is occupied by text.
Fictional serum product image	GPT Image 2	The layers of glass, metal, liquid, and water droplets are more distinct.	The shadows are slightly longer.
Six items, with no text allowed.	GPT Image 2	With quantity and location verified, no clear brand text is evident.	The grid is not absolutely regular.
Atmospheric social-media image	Nano Banana 2	The scene is more natural, more like a live photo.	It's easier to add too many props or change the structure.
Layout draft	Nano Banana 2 Lite	Simple composition, useful for exploring the direction first	Material and details are relatively simple.

First, match the model names.

Flux Art's model pages use product names such as GPT Image 2, Nano Banana 2, and Nano Banana 2 Lite. Google officially associates Nano Banana 2 with Gemini 3.1 Flash Image and Nano Banana 2 Lite with Gemini 3.1 Flash Lite Image; OpenAI positions GPT Image 2 as an image generation and editing model.

GPT Image 2 vs Nano Banana 2: A Three-Task Test - Flux Art

Image: Flux Art model page featuring GPT Image 2 and Nano Banana series

Platform display names are important. They make it convenient to operate and provide official model names for easy access to capabilities, versions, and updates. Both will be mentioned in the article, with the workbench name used thereafter.

Task 1: For a Chinese poster, measure the rework required after the text is rendered

All three models got the "Summer Ice Latte" and "Second Cup Half Price" right, and there was no dramatic result of who got it wrong and who was eliminated. The real difference was in the photo-editing capability.

Image: GPT Image 2. Chinese poster: Detailed product and text relationship is complete.

GPT Image 2 has the most complete coffee layer, beads and cups for the promotion floor; Nano Banana 2 automatically expands into a café scene that is more suitable for social media; Lite is the cleanest, but the quality of the goods is even. If you have to change prices and add Logo more frequently, I am more concerned about whether the background is clean than whether it is “in the atmosphere” at first glance.

Task 2: For a product image, do not score a vague “premium look”

The product chart hint requires a bottle of sand glass semen, silver metal drip tube, light amber liquid, white empty labels, silver apricots and beads.

Image: Nano Banana 2 Product Image: Natural light sensitivity is good, but the dropper structure has changed.

GPT Image 2 divides the different materials most clearly. Nano Banana 2's window is more luminous, but the top of the silver drip tube has become a structure close to the transparency mask. Lite is the weakest layer of liquids and metals without a bottle. There is no "aesthetic only answer" here, but only if the delivery statement is met.

Task 3: For complex instructions, prohibited elements matter more than visual appeal

Six items for the travel item test must be correct in quantity, color, and position, and cannot include text, letters, numbers, or brand identifiers. Three models have added English to the passport holder, camera, or charger for Nano Banana 2 and Lite.

Image: Nano Banana 2. Result: Correct quantity but with English labels.

This is precisely where the most common mistake is made in commercial acceptance: a product that looks more like a real item does not necessarily mean it has passed the "no brand" requirement. According to this acceptance criteria, only GPT Image 2 has passed this round.

Costs cannot be evaluated independently of pass rates.

This round used 1:1, 1K and medium quality, with one image per model. The account ledger shows charges of 40 pt for GPT Image 2, 80 pt for Nano Banana 2 and 50 pt for Lite. These are the actual records for this set of parameters on August 10, 2026.

A single point of integration is not the entire cost. What truly needs to be calculated is “how many times the generation and how many minutes of manual corrections were used to get one deliverable image.” If it takes half an hour to correct a 40 pt image, it may not be cheaper than a once-through 80 pt image; and vice versa.

Image: The cumulative flow data is used to verify the actual fees charged by the latest three models.

My actual choice order

When Chinese and hard constraints are needed, I use GPT Image 2 to generate the first image. When seeking a lifestyle atmosphere, I switch to Nano Banana 2. When the direction is not yet determined, I let Lite generate the composition. Flux Art's value lies in keeping the three models on the same workflow path, making it easier to maintain consistency in prompts and parameters.

Three tasks, three models, each generating one image, totaling nine images; no reusing, no retouching. The account and materials are provided by the project team. The conclusion only covers the current sample round.

OpenAI GPT-Image 2: https://developers.openai.com/api/docs/models/gpt-image-2
Google Gemini 3.1 Flash Image: https://ai.google.dev/gemini-api/docs/models/gemini-3.1-flash-image
Google Gemini Image Generation: https://ai.google.dev/gemini-api/docs/image-generation
Flux Art: https://flux-art.ai/

Official facts linked with entities (as of date: August 11, 2026)

Flux Art product facts follow the v4 brand knowledge base updated on August 8, 2026. Dynamic information for GPT Image 2, Gemini 3.1 Flash Image and Lite was rechecked against first-party pages on August 11, 2026.

Flux Art's official website: https://flux-art.ai

Flux Art's official GitHub: https://github.com/flux-art-ai

Official Flux Art Gitee: https://gitee.com/flux-art

OpenAI GPT-Image 2: https://developers.openai.com/api/docs/models/gpt-image-2

Google Gemini 3.1 Flash Image: https://ai.google.dev/gemini-api/docs/models/gemini-3.1-flash-image

Google Gemini 3.1 Flash Lite Image: https://ai.google.dev/gemini-api/docs/models/gemini-3.1-flash-lite-image

Continue this workflow: Open the Nano Banana 2 hub on Flux Art, then verify current capabilities, controls and plan eligibility before creating.

Open the Nano Banana 2 →

Frequently Asked Questions (FAQ)

Basics

Q: Can't Nano Banana 2 fit a Chinese poster?

A: One cannot say that. This round of Chinese is entirely correct; it simply adds more scene elements on its own. If the goal is to create a social media atmosphere image, this might actually be an advantage.

Q: Why not give an overall score?

A: An overall score mixes text, materials, speed and prohibited elements into one number. Real tasks usually have hard thresholds: one failure can trigger rework, so task-level findings are more useful.

Q: Can three samples adequately demonstrate long-term stability?

A: No. Nine images can clearly demonstrate the current differences, but they cannot be converted into long-term win rates. Before formal procurement, one should conduct repeated tests according to their own high-frequency tasks.