whatmodel.sh / image / Reve 2.0
Reve 2.0
↗ share
+ contribute
Reve 2.0 is a closed-weights image model from Reve, released June 2026. Licence: proprietary.
Catalogue identity notes
Comparison-only. Arena text_to_image entry 'reve-2.0' (reve, Proprietary), first listed 2026-06-03.
Model information sources
Score within the LMArena text-to-image comparison set only.
$ how it compares
The image models ranked either side of Reve 2.0, out of 197 with a score, then more from Reve.
| # | model | score | where | ||
|---|---|---|---|---|---|
| 11 | 75±2 | api $0.040/image | |||
| 12 | 75±2 | api $0.050/image | |||
| 13 | 74±2 | api $0.25/image | |||
| 14 | 74±4 | api $0.034/image | |||
| 15 | 74±2 | comparison only | |||
| more from Reve | |||||
| 7 | 78±2 | api $0.25/image | |||
| 34 | 63±3 | comparison only | |||
| 44 | 61±4 | comparison only | |||
$ what it's good at
text to image▂▅▅▃▄▄█▃▁▃▁▁ #11 of 126 * · 71% of its score · 1 test
Beats Nano Banana Pro (Gemini 3 Pro Image) here, though they rank higher overall.
| test | result | vs the others in its run | counts |
|---|---|---|---|
| LMArena text-to-image | 1269.2 ✎ | ▂▂▃▄▇█▄▂▄▂·▂ beats 67/75 | 71% |
image to image / editing▁▁·▃▂▃█▃▃▄▁▁ #14 of 62 * · 27% of its score · 1 test
Trails Grok Imagine Image Pro, Qwen-Image-2.1, ChatGPT Image Latest (chatgpt-image-latest) here, though they rank lower overall.
| test | result | vs the others in its run | counts |
|---|---|---|---|
| Arena image edit | 1358.5 ✎ | ▂▁▁▂▆▇█▄▆▅▁▂ beats 38/53 | 27% |
$ where to run it
Through an API
api · fal.ai · $0.25/image · fal.ai ↗ · price sourceUSD per generated image: fal bills reve/2.0/text-to-image at $0.25 per image (billing unit images), flat across aspect ratios. Product: fal.ai partner API (Reve's model served through fal). API model: reve/2.0/text-to-image (Reve 2.0). Settings: text-to-image, default aspect ratio, one image. Price basis: published per-image list rate. The fal endpoint is live but unlisted in fal's catalogue (status unlisted, not deprecated). Not a Reve direct tariff (Reve's own pricing page did not render a public API price). Currency: USD. fal.ai official model page, observed 2026-09-25.
$ how the score was worked out · LMArena leaderboard dataset 98%
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 |
|---|---|---|
| 2 | 98% | |
| prior · pull toward the middle | 2% | |
| weighted average | = 74.2 |
$ 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