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Ideogram 4.0
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Ideogram 4.0 is an open-weights image model from Ideogram, released June 2026. Its published size is 9.3B parameters. Licence: ideogram-4-nc.
Score within the LMArena text-to-image comparison set only.
$ how it compares
The image models ranked either side of Ideogram 4.0, out of 197 with a score, then more from Ideogram.
| # | model | score | where | ||
|---|---|---|---|---|---|
| 21 | 67±2 | api $0.040/image | |||
| 22 | 67±5 | comparison only | |||
| 23 | 66±2 | api $0.060/image +local | |||
| 24 | 66±3 | api $0.075/image | |||
| 25 | 66±3 | comparison only | |||
| more from Ideogram | |||||
| 19 | 68±3 | comparison only | |||
| 94 | 52±2 | api $0.060/image | |||
| 118 | 46±2 | api $0.080/image | |||
$ what it's good at
text to image▂▅▅▃▄▄█▃▁▂▁▁ #16 of 126 * · 84% of its score · 1 test
Beats Qwen-Image-2.1, Qwen-Image-2.0-Pro (2026-06-22), Uni-1.1 here, though they rank higher overall. Trails Qwen-Image 2.0 Pro here, though they rank lower overall.
| test | result | vs the others in its run | counts |
|---|---|---|---|
| LMArena text-to-image | 1205.1 ✎ | ▂▂▃▄▇█▄▃▄▂·▂ beats 58/75 | 84% |
other tests1 not in a task · 13% of its score
| test | result | vs the others in its run | counts |
|---|---|---|---|
| Rapidata Benchmark.ai image benchmark (overall Elo) | 911.9 ✎ | ▁▁▁▄▂█▂▁▁▂▁▁ beats 4/34 | 13% |
$ where to run it
Through an API
api · Together AI · $0.060/image · www.together.ai ↗ · price sourceUSD per generated image on Together AI serverless (endpoint ideogram/ideogram-4.0, released June 2, 2026). Together's pricing overview notes displayed prices refer to the lowest resolution settings, so higher resolutions may cost more. Product: Together AI serverless image generation. API model: ideogram/ideogram-4.0. Settings: default/lowest resolution, n=1. Price basis: published list rate. Currency: USD. Not Ideogram's own API tariff (not shown in its fetched pricing HTML). Together AI official model page, observed 2026-09-25.
Other ways to run it
version
- Run it as published · needs ~6.08 GB, Mac only · from huggingface.co/mflux-community
uvx --from mflux mflux-save --model ideogram-4-fp8 -q 4 --path ideogram-4-mflux-q4 && uvx --from mflux mflux-generate-ideogram4 --model ideogram-4-mflux-q4 --prompt-file caption.json --width 1024 --height 1024 --preset V4_DEFAULT_20
Weights and documentation: huggingface.co/ideogram-ai ↗
$ how the score was worked out · LMArena leaderboard dataset 84%, Rapidata/text-to-image-human-… 13%
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 |
|---|---|---|
| 1 | 84% | |
| 1 | 13% | |
| prior · pull toward the middle | 2% | |
| 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