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FLUX.2 [flex]

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FLUX.2 [flex] is a closed-weights image model from Black Forest Labs, released November 2025.

Model information sources

Release date ↗

62.3±2.1#31 of 144 image modelsfrom 3 benchmark results across 2 sources

Score within the LMArena text-to-image comparison set only.

$ how it compares

The image models ranked either side of FLUX.2 [flex], out of 197 with a score, then more from Black Forest Labs.

#modelscorewhereRAMreleased
35Cosmos3-Super-Text2Image NVIDIA63±2local~154GB2026-05
36FLUX.2 [pro] Black Forest Labs63±2api $0.030/image2025-11
37FLUX.2 [flex] Black Forest Labs62±2api $0.050/image2025-11
38HunyuanImage 3.0-Instruct Tencent62±3api $0.090/image +local~203GB2026-01
39Nano Banana (Gemini 2.5 Flash Image) Google62±1api $0.039/image2025-08
more from Black Forest Labs
32FLUX.2 [max] Black Forest Labs64±1api $0.070/image2025-12
61FLUX.2 [dev] Black Forest Labs58±1api $0.046/image +local~20GB2025-11
81FLUX.2 [klein] Base 9B Black Forest Labs55±4comparison only2026-01

see all image models · find the ones that fit your machine

$ what it's good at

text to image▂▅▅▃▄▄█▃▁▂▁▁ #26 of 126 * · 64% of its score · 1 test

Beats Seedream 4.5, Wan 2.7 Image Pro, Cosmos3-Super-Text2Image here, though they rank higher overall.

testresultvs the others in its rundifficultycountswhy
LMArena text-to-image1156.6 ✎▂▂▃▄▇█▄▂▄▂·▂ beats 49/75avg 1027▇▇▇▇▇▇▇▇▇▇▇▇▇▇▇▇▇▇▇▇▇▇▇▇▇▇ 64%typical
image to image / editing▁▁·▃▂▃█▃▃▄▁▁ #37 of 62 * · 24% of its score · 1 test

Trails FLUX.2 [klein] 9B, LongCat-Image-Edit, Qwen-Image-Edit-2511 here, though they rank lower overall.

testresultvs the others in its rundifficultycountswhy
Arena image edit1224.9 ✎▂▁▁▂▆▇█▄▆▅▁▂ beats 16/53avg 1153▇▇▇▇▇▇▇▇▇▇ 24%typical
other tests1 not in a task · 10% of its score
testresultvs the others in its rundifficultycountswhy
Rapidata Benchmark.ai image benchmark (overall Elo)1011.0 ✎▁▁▁▄▂█▂▁▁▂▁▁ beats 21/34avg 875▇▇▇▇ 10%typical

$ where to run it

Through an API

api · $0.050/image · docs.bfl.ai ↗ · price sourceUSD for a text-to-image output of up to 1 megapixel: BFL bills FLUX.2 [flex] at $0.05 per megapixel (first and each additional output megapixel $0.05; input-image megapixels for editing also $0.05 each); price = rate × 1 MP (BFL's rounding for 1024×1024 ≈ 1.05 MP is not stated). Matches the "from $0.05" text-to-image and editing figure in the BFL API docs. Product: BFL API. API model: flux-2-flex. Settings: output ≤1 MP, no input images, one image. Price basis: published per-megapixel list rate × 1 MP. Currency: USD. Black Forest Labs official pricing page, observed 2026-09-26.

$ how the score was worked out · LMArena leaderboard dataset 88%, Rapidata/text-to-image-human-… 10%

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

sourceresultsshare of the scorelicence
LMArena leaderboard dataset2▇▇▇▇▇▇▇▇▇▇▇▇▇▇▇▇▇▇▇▇▇▇▇▇▇▇ 88%CC BY 4.0
Rapidata/text-to-image-human-preference-6M (Benchmark.ai Image Benchmark) published dataset-card rankings1▇▇▇ 10%CC-BY-4.0
prior · pull toward the middle▇ 2%
weighted average= 62.3

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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