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Wan 2.7 Image Pro
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Wan 2.7 Image Pro is a closed-weights image model from Alibaba, released April 2026.
Model information sources
Score within the LMArena text-to-image comparison set only.
$ how it compares
The image models ranked either side of Wan 2.7 Image Pro, out of 197 with a score, then more from Alibaba.
| # | model | score | where | ||
|---|---|---|---|---|---|
| 31 |  Recraft V4.1 Utility Pro | 64±2 | api $0.21/image | ||
| 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 | ||
| more from Alibaba | |||||
| 11 |  Qwen-Image-3.0-Pro | 75±2 | api $0.040/image | ||
| 18 | Qwen-Image-2.1 | 69±2 | local | ||
| 20 | Qwen-Image-2.0-Pro (2026-06-22) | 67±2 | api $0.075/image | ||
$ what it's good at
text to image▂▅▅▃▄▄█▃▁▂▁▁ #40 of 126 * · 59% of its score · 2 tests
Trails Krea 2 Medium, ERNIE-Image, Emu3.5-Image here, though they rank lower overall.
| test | result | vs the others in its run | counts |
|---|---|---|---|
| LMArena text-to-image | 1103.5 ✎ | ▂▂▃▄▇█▄▂▄▂·▂ beats 26/75 | 47% |
| UltraText Bench (Composite, bilingual dense text rendering) | 85.7% ✎ | ▁▂▂█▃▁▃▃·▁·▁ beats 17/22 | 12% |
image to image / editing▁▁·▃▂▃█▃▃▄▁▁ #23 of 62 * · 18% of its score · 1 test
Beats Seedream 4.5, FLUX.2 [max] here, though they rank higher overall. Trails HunyuanImage 3.0-Instruct here, though they rank lower overall.
| test | result | vs the others in its run | counts |
|---|---|---|---|
| Arena image edit | 1302.6 ✎ | ▂▁▁▂▆▇█▄▆▅▁▂ beats 30/53 | 18% |
other tests2 not in a task · 22% of its score
| test | result | vs the others in its run | counts |
|---|---|---|---|
| ChartSync chart editing (Overall) | 74.5% ✎ | ▂··▂█▂▄▂▃·▂▂ beats 10/12 | 15% |
| Rapidata Benchmark.ai image benchmark (overall Elo) | 1007.6 ✎ | ▁▁▁▄▂█▂▁▁▂▁▁ beats 19/34 | 7.3% |
$ where to run it
Through an API
api · Alibaba Cloud Model Studio · $0.075/image · www.alibabacloud.com ↗ · price sourceUSD per output image, Singapore (international) deployment; only output is billed; China (Beijing) lists $0.068761; wan2.7-image $0.03. Free quota and promotions excluded. Product: Alibaba Cloud Model Studio image generation. API model: wan2.7-image-pro. Settings: region=Singapore (international), n=1. Price basis: published list rate. Currency: USD. Alibaba Cloud official model pricing page, observed 2026-09-26.
$ how the score was worked out · LMArena leaderboard dataset 65%, ChartSync: A Benchmark for Vi… 15%, UltraText Bench: A Comprehens… 12% and 1 more
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 | 2 | 65% |
 ChartSync: A Benchmark for Visuo-Logical Cascading Chart Editing (arXiv:2607.10301v1) | 1 | 15% |
| UltraText Bench: A Comprehensive Bilingual Benchmark for Evaluating Visual Text Rendering in Image Generation (arXiv:2610.09823v1) | 1 | 12% |
 Rapidata/text-to-image-human-preference-6M (Benchmark.ai Image Benchmark) published dataset-card rankings | 1 | 7% |
| prior · pull toward the middle | 1% | |
| weighted average | = 63.4 |
$ 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