FLUX Kontext Dev vs Nano Banana 2: AI Photo Editor Showdown
Pick FLUX Kontext Dev for fast, cheap general edits — background swaps, prop removal, retouching, colour changes. Pick Nano Banana 2 when the edit involves text inside the image (signs, logos, captions) or when you need to give complex multi-step instructions in a single prompt.
Side-by-side examples
Same prompt, run on both models - visual comparison images coming soon. In the meantime, try both directly in the editor with the buttons below.
FLUX Kontext Dev
Visual demo coming soon
Nano Banana 2
Visual demo coming soon
Specs at a glance
| Property | FLUX Kontext DevStandard | Nano Banana 2Premium |
|---|---|---|
| Vendor | Black Forest Labs | Google DeepMind |
| Released | 2024 | 2025 |
| Tier | Standard | Premium |
| Price/gen | 1 credit | 3 credits |
| Speed | ~5-12 seconds | ~20-30 seconds |
| Text rendering | Limited | Best in class |
| Identity preservation | Strong | Strong |
| Best for | General edits | Text + complex instructions |
Where FLUX Kontext Dev wins
- Volume work — at 1 credit per edit, Kontext lets you batch-process a series of edits without burning your credit budget.
- Speed — 5-12 seconds is fast enough that you can iterate on the prompt wording in real time.
- Open weights — fully transparent architecture for anyone needing reproducibility.
- Casual edits — backgrounds, retouching, small object swaps where text isn't involved.
Where Nano Banana 2 wins
- Adding or fixing text — 'replace the sign with one that reads OPEN' lands cleanly. Kontext often produces squiggles where Nano Banana 2 produces words.
- Brand and logo edits — typography is preserved or recreated faithfully.
- Multi-step instructions — 'change the dress to emerald, fix the lighting, add a window in the background' all land in one Nano Banana 2 pass; Kontext usually needs two or three.
- Conversational prompts — natural-language editing instructions are parsed reliably.
Which one should you actually pick?
If the edit doesn't involve text in the image, default to FLUX Kontext Dev — 1 credit, fast, indistinguishable on output for the general case. The moment your edit includes text — a sign, a logo, a caption, a t-shirt graphic — switch to Nano Banana 2 because the text-rendering gap is a binary, not a gradient. Saving 2 credits doesn't matter if the image has unreadable squiggles where letters should be.
Frequently asked questions
- Why is Nano Banana 2 so much better at text?
- Google trained the model with explicit glyph-level supervision — typography in the training data was labelled at the character level, not just 'some text exists here'. Most diffusion-based editors learn text as visual texture; Nano Banana 2 learns it as language.
- Can FLUX Kontext Dev handle short captions?
- Sometimes — single short words can come out legibly, especially if styled to look intentionally hand-painted. For anything longer than a single word, Nano Banana 2 is materially more reliable.
- Do they preserve faces equally well?
- Yes — both models keep input subjects structurally consistent. Identity drift is rare on either. The text-rendering gap is the main differentiator.
Try both models in the editor
Run the same prompt on both and pick the winner. First edit is free.