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Uni-1.1 Max
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Uni-1.1 Max is a closed-weights image model from Luma AI, released May 2026.
Model information sources
Score within the LMArena text-to-image comparison set only.
$ how it compares
The image models ranked either side of Uni-1.1 Max, out of 197 with a score, then more from Luma AI.
| # | model | score | where | ||
|---|---|---|---|---|---|
| 25 | 66±3 | comparison only | |||
| 26 | 66±2 | api $0.020/image | |||
| 27 | 65±2 | api $0.10/image | |||
| 28 | 65±2 | api $0.050/image | |||
| 29 | 65±2 | api $0.035/image | |||
| more from Luma AI | |||||
| 21 | 67±2 | api $0.040/image | |||
| 99 | 51±2 | api $0.019/image | |||
$ what it's good at
text to image▂▅▅▃▄▄█▃▁▂▁▁ #19 of 126 * · 64% of its score · 1 test
Beats Uni-1.1, Grok Imagine Image here, though they rank higher overall.
| test | result | vs the others in its run | counts |
|---|---|---|---|
| LMArena text-to-image | 1189.3 ✎ | ▂▂▃▄▇█▄▂▄▂·▂ beats 56/75 | 64% |
image to image / editing▁▁·▃▂▃█▃▃▄▁▁ #16 of 62 * · 24% of its score · 1 test
Beats Nano Banana 2 Lite (Gemini 3.1 Flash-Lite Image), Qwen-Image-2.0-Pro (2026-06-22), Uni-1.1 here, though they rank higher overall. Trails Grok Imagine Image Pro here, though they rank lower overall.
| test | result | vs the others in its run | counts |
|---|---|---|---|
| Arena image edit | 1334.2 ✎ | ▂▁▁▂▆▇█▄▆▅▁▂ beats 36/53 | 24% |
other tests1 not in a task · 10% of its score
| test | result | vs the others in its run | counts |
|---|---|---|---|
| Rapidata Benchmark.ai image benchmark (overall Elo) | 846.1 ✎ | ▁▃▁▄▂█▂▁▁▂▁▁ beats 1/34 | 10% |
$ where to run it
Through an API
api · $0.10/image · lumalabs.ai ↗ · price sourceUSD per generated 2K (2048-pixel) image, text-to-image, Luma Agents API pay-as-you-go. Product: Luma Agents API image generation. API model: uni-1-max (Luma's API page labels this price column "Uni-1.1 Max"). Settings: text-to-image, 2048px output, no reference images, one image. Image edit or one reference image $0.1030; each extra reference +$0.003. Price basis: Luma's published per-image figure; Luma notes prices are approximate and based on billing tokens. Currency: USD. Luma official API pricing documentation, observed 2026-09-26.
$ how the score was worked out · LMArena leaderboard dataset 88%, Rapidata/text-to-image-human-… 10%
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 | 88% | |
| 1 | 10% | |
| prior · pull toward the middle | 2% | |
| weighted average | = 65.4 |
$ 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