Flux Kontext
Ranked 22 of 22 image generation models by recommenders
People recommend it for making minimal, targeted edits that leave the rest of an image intact, and for good instruction following. Critics report mixed results on some tasks.
People recommend it for making minimal, targeted edits that leave the rest of an image intact, and for good instruction following. Critics report mixed results on some tasks.
6 people gave an opinion
- recommend it
- 5
- criticize it
- 1
- approval share
- 83%
Recommended in 4 of 13 months
- November 2025: recommended
- December 2025: recommended
- January 2026: not recommended
- February 2026: not recommended
- March 2026: not recommended
- April 2026: recommended
- May 2026: not recommended
- June 2026: not recommended
- July 2026: not recommended
- August 2026: not recommended
- September 2026: recommended
- October 2026: not recommended
- November 2026: not recommended (month in progress)
Why it doesn’t carry the badge
- 5 people recommend itNeeds 10 or more, not met.
- 5 recommenders for every criticNeeds 2 to 1 or better, met.
- Recommended in 4 of 13 monthsNeeds 4 or more, met.
The same three rules apply to every product, and the badge can’t be bought. How the badge works
What people say about it
The reasons people give, with the number of comments that give each one. Open a reason to read what they said.
Why people recommend it
Each mark is one comment
Minimal, targeted image modifications
“The Flux models (like Kontext) are actually surprisingly good at making very minimal changes to the rest of the image”
Comment from 22 Apr 2026 in “ChatGPT Images 2.0” “Flux Kontext does pretty well also, for modifications.”
Comment from 14 Nov 2025 in “Nano Banana can be prompt engineered for nuanced AI image generation”
What people warn about
Each mark is one comment
Mixed results, struggles on some tasks
“Flux Kontext, Qwen, etc. have mixed results.”
Comment from 16 Dec 2025 in “GPT Image 1.5” “All the BFL models (Kontext Max and Flux 2 Pro) seemed to struggle hard with it.”
Comment from 25 Nov 2025 in “FLUX.2: Frontier Visual Intelligence”
Other image generation models people recommend
The four most recommended other image generation models, with the same counts for each, so you can compare like for like. The tick on each bar marks the 2 to 1 line the badge needs.
| Product | Recommend | Criticize | Approval | Months | Owned | Badge |
|---|---|---|---|---|---|---|
| Nano Banana | 265 | 159 | 63% | 12 | 6 mo5 owners | — |
| gpt-image-1 | 79 | 79 | 50% | 12 | — | — |
| FLUX.2 | 66 | 51 | 56% | 10 | — | — |
| gpt-image-2 | 63 | 26 | 71% | 8 | — | Approved |
| Flux KontextThis page | 5 | 1 | 83% | 4 | — | — |
What people said
All 7 comments that mention it, newest first. Each links to the original comment.
“have been super-impressed with FLUX.1-Kontext, which I've been running on my Macbook Pro with mflux”
“The Flux models (like Kontext) are actually surprisingly good at making very minimal changes to the rest of the image”
“Flux Kontext, Qwen, etc. have mixed results.”
“All the BFL models (Kontext Max and Flux 2 Pro) seemed to struggle hard with it.”
“one of the best artistic model, still great at instruction following”
“Flux Kontext does pretty well also, for modifications.”
“NanoBanana and Flux Kontext are the models that get closest to traditional SDXL inpainting techniques”
Counts come from 1,795,640 Hacker News comments, November 2025 to November 2026. How we count. Report a mistake.