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Reve V1.5
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Reve V1.5 is a closed-weights image model from Reve, released February 2026.
Model information sources
Score within the LMArena text-to-image comparison set only.
$ how it compares
The image models ranked either side of Reve V1.5, out of 197 with a score, then more from Reve.
| # | model | score | where | ||
|---|---|---|---|---|---|
| 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 | ||
| 35 |  Cosmos3-Super-Text2Image | 63±2 | local | ||
| 36 | FLUX.2 [pro] | 63±2 | 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 | ||
| 44 | Reve V1.1 | 61±4 | comparison only | ||
$ what it's good at
text to image▁▂▇▇▆▅█▇▂▃▁▁ #31 of 157 * · 97% of its score · 1 test
Beats Seedream 4.5, Wan 2.7 Image Pro here, though they rank higher overall. Trails FLUX.2 [flex] here, though they rank lower overall.
| test | result | vs the others in its run | counts |
|---|---|---|---|
| LMArena text-to-image | 1155.3 ✎ | ▂▂▃▄▇█▄▂▄▂·▂ beats 48/75 | 97% |
$ where to run it
No verified API or download recorded yet · add one
$ how the score was worked out · LMArena leaderboard dataset 97%
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 | 97% |
| prior · pull toward the middle | 3% | |
| weighted average | = 63.1 |
$ 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