FLUX.2 vs Nano Banana Pro: November 2025 Comparison Guide

FLUX.2 and Nano Banana Pro are November 2025 image-generation and editing releases from Black Forest Labs and Google DeepMind, respectively. FLUX.2 offers hosted pro/flex access and downloadable dev weights; Nano Banana Pro is Google's hosted Gemini 3 Pro Image model. Compare them on the same visual brief, checking text, composition, and reference preservation. 1, 2, 3

This comparison covers releases available by November 30, 2025, with access instructions checked against official documentation on September 5, 2026. 1, 2

What are the key facts about FLUX.2 and Nano Banana Pro?

What can FLUX.2 and Nano Banana Pro generate and edit?

FLUX.2's launch introduced generation and editing with multiple reference images in one family. BFL also documented typography, structured instructions, and control over composition as areas of focus. 1

Consider that capability when your brief includes several visual references with different roles. For an evaluation, identify which image defines the subject, which defines the material, and which supplies the intended style.

Nano Banana Pro's launch emphasizes multilingual text rendering, visual explanations, and localized edits. Google also describes connecting to Search for information used in generated visuals. 2

That makes diagrams and text-bearing designs useful evaluation tasks. Supply the wording you want, identify the relationships the diagram should show, and check the output against those requirements.

For photography, inspect the requested materials and lighting. For typography, inspect every character. For a reference-based edit, compare the required identifying details directly with the supplied source.

Use the sibling FLUX.2 overview when you need more detail about that family's variants. Keep the selected variant explicit in any comparison notes.

What limitations should you test before choosing a model?

The hosted and local FLUX.2 variants have different access arrangements. Dev's downloadable weights do not confer the same service access as pro or flex, and the dev checkpoint has its own license. 1, 3

Nano Banana Pro is a hosted model with no published open-weight download. Its access through Gemini or an API does not create a local checkpoint for ComfyUI. 4, 5

Google's API documentation notes that image generation may not return the exact number of images requested. It also recommends establishing the text before requesting an image containing that text. 5

For an automated workflow, check the actual response rather than assuming that a requested count implies a completed set. Record rejected or missing outputs as part of the task's total effort.

An alternative such as SDXL also has documented limitations. Stability AI's model card identifies difficulties with legible text, complex composition, faces, and complete photorealism. 6

That does not decide every comparison. It tells you which failure modes deserve explicit tests when considering SDXL for the same visual brief.

How do you compare FLUX.2 and Nano Banana Pro on the same task?

Establish a common brief

Before opening either service, write down the desired image and the criteria for acceptance. Include subject, layout, required wording, reference roles, and intended display size.

For example, evaluate a fictional tea package on a kitchen counter. Require a readable product name, a visible handle on the nearby cup, and clear space for a caption.

Run a separate editing task with a source image when reference preservation matters. Keep generation from scratch and editing as separate comparisons so each model is being asked to perform the same operation.

Try FLUX.2 through BFL

Follow BFL's quick start to create an account, add credits, and create an API key. Its current API reference documents flux-2-pro as a generation and editing endpoint. 7, 8

After installing Python's requests package, set BFL_API_KEY in your environment and submit a first text-to-image request. This uses the current documented access route for a model family released in November 2025. 8

import os
import requests

response = requests.post(
    "https://api.bfl.ai/v1/flux-2-pro",
    headers={"x-key": os.environ["BFL_API_KEY"]},
    json={
        "prompt": "A fictional tea package labeled MORNING, beside a ceramic cup",
        "width": 1024,
        "height": 1024,
    },
    timeout=60,
)
response.raise_for_status()
print(response.json()["polling_url"])

Poll the returned URL and retrieve result.sample when the task becomes Ready. Handle failure responses and download the result within the retrieval window described in BFL's generation guide. 9

Try Nano Banana Pro through Google

Use the Gemini or AI Studio access links in Google's official product documentation and select Nano Banana Pro/Gemini 3 Pro Image. Google's image-generation API guide provides the corresponding developer route. 4, 5

Supply the same brief used for FLUX.2. For text-bearing images, prepare the exact text first, following Google's documented recommendation. 5

For each route, retain the original brief, returned image, model identifier where available, and the revisions required to obtain an acceptable asset. That makes your selection evidence understandable to another reader.

How do FLUX.2 and Nano Banana Pro compare with SDXL?

The SDXL models pillar covers that local alternative. Check the selected checkpoint's model card and license instead of treating every SDXL derivative as the same product.

What should you know before trying these image models?

Which image models launched in November 2025?

Google announced Nano Banana Pro on November 20, 2025, and BFL announced FLUX.2 on November 25, 2025. These dates refer to the cited releases, not every later variant or access change. 1, 2

Can I run Nano Banana Pro locally?

Google provides Nano Banana Pro as a hosted model with no open-weight download. Use its documented Gemini, AI Studio, or API access. 4, 5

Is FLUX.2 available as downloadable weights?

FLUX.2 dev is downloadable under a non-commercial model license. The hosted pro and flex offerings are separate access routes. 1, 3

Which model is best for text inside images?

FLUX.2 and Nano Banana Pro both document text-rendering capabilities, while SDXL's model card lists text as a limitation. Test your exact wording and layout before choosing a model for that job. 1, 2, 6

Sources

• BFL's FLUX.2 launch announcement
• Google's Nano Banana Pro launch announcement
• Official FLUX.2 dev model card
• Google DeepMind's Nano Banana Pro product documentation
• Gemini image-generation API documentation
• Stability AI's SDXL base model card
• BFL API setup
• FLUX.2 pro API reference
• FLUX.2 request and result-retrieval guide

Related guides on PromptZone

• Realistic Photos with FLUX
• Best SDXL Models in 2026