whatmodel.sh / image / Reve V1
Reve V1
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Reve V1 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, out of 197 with a score, then more from Reve.
| # | model | score | where | ||
|---|---|---|---|---|---|
| 60 |  HiDream-O1-Image | 58±2 | api $0.010/image +local | ||
| 61 |  FLUX.2 [dev] | 58±1 | api $0.046/image +local | ||
| 62 | Reve V1 | 58±4 | comparison only | ||
| 63 |  Z-Image (Base) | 58±2 | api $0.010/image +local | ||
| 64 |  Wan 2.6 Image | 58±4 | api $0.030/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▁▁▁▃▂▃█▃▃▃▁▁ #40 of 81 * · 93% of its score · 1 test
Beats FLUX.2 [flex], Imagen 4, GPT Image 1 Mini here, though they rank higher overall. Trails FLUX.2 [klein] 9B, Qwen-Image-Edit-2511 here, though they rank lower overall.
| test | result | vs the others in its run | counts |
|---|---|---|---|
| Arena image edit | 1234.5 ✎ | ▂▁▁▂▆▇█▄▆▅▁▂ beats 19/53 | 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 | = 58.3 |
$ 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