whatmodel.sh / image / FLUX.2 [max]
FLUX.2 [max]
↗ share
+ contribute
FLUX.2 [max] is a closed-weights image model from Black Forest Labs, released December 2025. Licence: proprietary.
Score within the LMArena text-to-image comparison set only.
$ how it compares
The image models ranked either side of FLUX.2 [max], out of 197 with a score, then more from Black Forest Labs.
| # | model | score | where | ||
|---|---|---|---|---|---|
| 30 |  Seedream 4.5 | 64±1 | api $0.040/image | ||
| 31 |  Recraft V4.1 Utility Pro | 64±2 | api $0.21/image | ||
| 32 | FLUX.2 [max] | 64±1 | api $0.070/image | ||
| 33 |  Wan 2.7 Image Pro | 63±2 | api $0.075/image | ||
| 34 |  Reve V1.5 | 63±3 | comparison only | ||
| more from Black Forest Labs | |||||
| 36 | FLUX.2 [pro] | 63±2 | api $0.030/image | ||
| 37 | FLUX.2 [flex] | 62±2 | api $0.050/image | ||
| 61 | FLUX.2 [dev] | 58±1 | api $0.046/image +local | ||
$ what it's good at
text to image▂▅▅▃▄▄█▃▁▂▁▁ #23 of 126 · 78% of its score · 3 tests
Beats Grok Imagine Image Pro, Seedream 5.0 Lite, Seedream 4.5 here, though they rank higher overall.
| test | result | vs the others in its run | counts |
|---|---|---|---|
| GenExam (relaxed overall, GPT-5 judge) | 61.6% ✎ | ▄█▂▂▂▂▆▄·▂·▂ beats 13/16 | 45% |
| LMArena text-to-image | 1162.1 ✎ | ▂▂▃▄▇█▄▂▄▂·▂ beats 50/75 | 30% |
| Qwen-Image-Bench (Q-Judger, v1) | 55.3% ✎ | █▅▅·▅▅█·█··▃ beats 9/17 | 3.2% |
image to image / editing▁▁·▃▂▃█▃▃▄▁▁ #26 of 62 * · 11% of its score · 1 test
Trails Wan 2.7 Image, HunyuanImage 3.0-Instruct, Wan 2.7 Image Pro here, though they rank lower overall.
| test | result | vs the others in its run | counts |
|---|---|---|---|
| Arena image edit | 1261.7 ✎ | ▂▁▁▂▆▇█▄▆▅▁▂ beats 23/53 | 11% |
other tests3 not in a task · 10% of its score
| test | result | vs the others in its run | counts |
|---|---|---|---|
| Rapidata Benchmark.ai image benchmark (overall Elo) | 992.8 ✎ | ▁▁▁▄▂█▂▁▁▂▁▁ beats 16/34 | 4.7% |
| EdiVal multi-turn editing overall (EdiVal-O after turn 3) | 58.1% ✎ | ▂·▂▃·▂·▃▂·▃█ beats 11/14 | 4.2% |
| Knowledge Visualization T2I (Brief Caption, English overall) | 35.0% ✎ | ▅·▃·▃··▃·█▃▃ beats 7/9 | 1.0% |
$ where to run it
Through an API
api · $0.070/image · docs.bfl.ai ↗ · price sourceUSD for a text-to-image output of up to 1 megapixel (the first-megapixel rate; each additional output megapixel adds $0.03). Matches the "from $0.07" text-to-image figure in the BFL API docs (1 credit = $0.01). Product: BFL API. API model: flux-2-max. Settings: output <=1 MP (e.g. 1024×1024), no input images, single image. Price basis: published first-megapixel list rate. Currency: USD. Black Forest Labs official pricing page, observed 2026-09-25.
$ how the score was worked out · GenExam: A Multidisciplinary… 45%, LMArena leaderboard dataset 41%, Rapidata/text-to-image-human-… 5% and 3 more
Each result implies a score on its own, after adjusting for how hard its test is and who ran it. The score is their weighted average, with a small pull toward the middle for thinly tested models. Each test's weight is its counts column above; here it's added up by who ran the tests. How it works
$ improve this page
Use a short GitHub form or edit the data through a pull request. Every number needs a source; here's which ones we can use.
data updated · sources and licences · json