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Seedream 5.0 Pro
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Seedream 5.0 Pro is a closed-weights image model from ByteDance Seed, released July 2026. Licence: proprietary.
Score within the LMArena text-to-image comparison set only.
$ how it compares
The image models ranked either side of Seedream 5.0 Pro, out of 197 with a score, then more from ByteDance Seed.
| # | model | score | where | ||
|---|---|---|---|---|---|
| 10 |  Nano Banana Pro (Gemini 3 Pro Image) | 76±1 | api $0.13/image | ||
| 11 |  Qwen-Image-3.0-Pro | 75±2 | api $0.040/image | ||
| 12 | Seedream 5.0 Pro | 75±2 | api $0.050/image | ||
| 13 |  Reve 2.0 | 74±2 | api $0.25/image | ||
| 14 |  ChatGPT Image Latest (chatgpt-image-latest) | 74±4 | api $0.034/image | ||
| more from ByteDance Seed | |||||
| 29 | Seedream 5.0 Lite | 65±2 | api $0.035/image | ||
| 45 | Seedream 4.0 | 61±1 | api $0.040/image | ||
| 73 | Seedream 3.0 | 56±2 | comparison only | ||
$ what it's good at
text to image▂▅▅▃▄▄█▃▁▃▁▁ #10 of 126 · 71% of its score · 3 tests
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 | 1255.5 ✎ | ▂▂▃▄▇█▄▂▄▂·▂ beats 65/75 | 51% |
| GenExam (relaxed overall, GPT-5 judge) | 90.0% ✎ | ▆▆·▂▂····▃▂█ beats 8/13 | 13% |
| UltraText Bench (Composite, bilingual dense text rendering) | 91.5% ✎ | ▁▂▂█▃▁▂▃·▁·▁ beats 20/22 | 6.2% |
image to image / editing▁▁·▃▂▃█▃▃▄▁▁ #8 of 62 * · 20% of its score · 1 test
Beats Reve 2.1, Nano Banana 2 (Gemini 3.1 Flash Image) here, though they rank higher overall.
| test | result | vs the others in its run | counts |
|---|---|---|---|
| Arena image edit | 1393.6 ✎ | ▂▁▁▂▆▇█▄▆▅▁▂ beats 45/53 | 20% |
other tests1 not in a task · 8.0% of its score
| test | result | vs the others in its run | counts |
|---|---|---|---|
| Rapidata Benchmark.ai image benchmark (overall Elo) | 992.9 ✎ | ▁▁▁▄▂█▂▁▁▂▁▁ beats 17/34 | 8.0% |
$ where to run it
Through an API
api · DeepInfra · $0.050/image · deepinfra.com ↗ · price sourceUSD per generated image on DeepInfra at the 1K/1.5K size tier (outputs up to 1.5K cost $0.0495; above 1.5K, including the endpoint's 2K default, $0.099/image). Additional input images after the first cost $0.0033 each. Product: DeepInfra text-to-image. API model: ByteDance/Seedream-5.0-Pro. Settings: size=1K or 1.5K tier, n=1, text-to-image without reference images. Price basis: published list rate. Currency: USD. Not the BytePlus ModelArk direct tariff. DeepInfra official model page, observed 2026-09-25.
$ how the score was worked out · LMArena leaderboard dataset 71%, GenExam leaderboard (OpenGVLa… 13%, Rapidata/text-to-image-human-… 8% 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 | 71% |
 GenExam leaderboard (OpenGVLab/GenExam README, relaxed score) | 1 | 13% |
 Rapidata/text-to-image-human-preference-6M (Benchmark.ai Image Benchmark) published dataset-card rankings | 1 | 8% |
 UltraText Bench: A Comprehensive Bilingual Benchmark for Evaluating Visual Text Rendering in Image Generation (arXiv:2610.09823v1) | 1 | 6% |
| prior · pull toward the middle | 1% | |
| weighted average | = 74.6 |
$ 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