whatmodel.sh / image / Reve V1.1
Reve V1.1
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Reve V1.1 is a closed-weights image model from Reve.
Score within the LMArena text-to-image comparison set only.
$ how it compares
The image models ranked either side of Reve V1.1, out of 197 with a score, then more from Reve.
| # | model | score | where | ||
|---|---|---|---|---|---|
| 42 |  GPT Image 1 | 61±1 | api $0.042/image | ||
| 43 |  Wan 2.6 Text-to-Image | 61±3 | api $0.030/image | ||
| 44 | Reve V1.1 | 61±4 | comparison only | ||
| 45 |  Seedream 4.0 | 61±1 | api $0.040/image | ||
| 46 |  Recraft V4.1 Pro | 61±3 | api $0.21/image | ||
| more from Reve | |||||
| 7 | Reve 2.1 | 78±2 | api $0.25/image | ||
| 13 | Reve 2.0 | 74±2 | api $0.25/image | ||
| 34 | Reve V1.5 | 63±3 | comparison only | ||
$ what it's good at
image to image / editing▁▁▁▃▂▃█▃▃▃▁▁ #31 of 81 * · 93% of its score · 1 test
Beats FLUX.2 [pro], FLUX.2 [flex], Nano Banana (Gemini 2.5 Flash Image) here, though they rank higher overall.
| test | result | vs the others in its run | counts |
|---|---|---|---|
| Arena image edit | 1261.8 ✎ | ▂▁▁▂▆▇█▄▆▅▁▂ beats 24/53 | 93% |
$ where to run it
No verified API or download recorded yet · add one
$ how the score was worked out · LMArena leaderboard dataset 93%
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
| source | results | share of the score |
|---|---|---|
 LMArena leaderboard dataset | 1 | 93% |
| prior · pull toward the middle | 7% | |
| weighted average | = 61.1 |
$ 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