whatmodel.sh / image / Qwen-Image 2.0 Pro
Qwen-Image 2.0 Pro
↗ share
+ contribute
Qwen-Image 2.0 Pro is a closed-weights image model from Alibaba, released March 2026.
Model information sources
Score within the LMArena text-to-image comparison set only.
$ how it compares
The image models ranked either side of Qwen-Image 2.0 Pro, out of 197 with a score, then more from Alibaba.
| # | model | score | where | ||
|---|---|---|---|---|---|
| 22 |  Boogu-Image-0.1 Base | 67±5 | comparison only | ||
| 23 |  Ideogram 4.0 | 66±2 | api $0.060/image +local | ||
| 24 | Qwen-Image 2.0 Pro | 66±3 | api $0.075/image | ||
| 25 |  MAI-Image-2 | 66±3 | comparison only | ||
| 26 |  Grok Imagine Image | 66±2 | api $0.020/image | ||
| 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▂▅▅▃▄▄█▃▃▂▁▁ #15 of 126 · 49% of its score · 3 tests
Beats Qwen-Image-2.1, Qwen-Image-2.0-Pro (2026-06-22), Uni-1.1 here, though they rank higher overall.
| test | result | vs the others in its run | counts |
|---|---|---|---|
| UltraText Bench (Composite, bilingual dense text rendering) | 90.2% ✎ | ▁▂▂█▃▁▂▃·▁·▁ beats 19/22 | 23% |
| FEPBench instruction faithfulness | 51.5% ✎ | ▄·█···▄▄▄▄▄▄ beats 3/8 | 14% |
| Qwen-Image-Bench (Q-Judger, v1) lab | 57.8% ✎ | █▅▅·▅▅█·█··▃ beats 13/17 | 11% |
other tests2 not in a task · 48% of its score
| test | result | vs the others in its run | counts |
|---|---|---|---|
| ChartSync chart editing (Overall) | 65.5% ✎ | ▂··▂█▂▄▂▂·▂▂ beats 8/12 | 31% |
| Rapidata Benchmark.ai image benchmark (overall Elo) | 986.3 ✎ | ▁▁▁▄▂█▂▁▁▂▁▁ beats 12/34 | 17% |
$ 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; all listed qwen-image-2.0-pro snapshots (2026-03-03, 2026-04-22, 2026-06-22) have the same rate; Beijing lists $0.071676. Free quota and promotions excluded. Product: Alibaba Cloud Model Studio image generation. API model: qwen-image-2.0-pro. Settings: region=Singapore (international), n=1. Price basis: published list rate. Currency: USD. Alibaba Cloud official model pricing page, observed 2026-09-25.
$ how the score was worked out · ChartSync: A Benchmark for Vi… 31%, UltraText Bench: A Comprehens… 23%, Rapidata/text-to-image-human-… 17% and 2 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 |
|---|---|---|
 ChartSync: A Benchmark for Visuo-Logical Cascading Chart Editing (arXiv:2607.10301v1) | 1 | 31% |
| UltraText Bench: A Comprehensive Bilingual Benchmark for Evaluating Visual Text Rendering in Image Generation (arXiv:2610.09823v1) | 1 | 23% |
 Rapidata/text-to-image-human-preference-6M (Benchmark.ai Image Benchmark) published dataset-card rankings | 1 | 17% |
| Faithful, Enriched, and Precise: Benchmarking Natural-Science Illustration Generation by T2I models (FEPBench) | 1 | 14% |
| Qwen-Image-Bench: From Generation to Creation in Text-to-Image Evaluation · lab-reported | 1 | 11% |
| prior · pull toward the middle | 3% | |
| weighted average | = 66.4 |
$ 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