whatmodel.sh / video / Gemini Omni 1.1 Flash
Gemini Omni 1.1 Flash
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Gemini Omni 1.1 Flash is a closed-weights video model from Google, released August 2026.
Model information sources
$ how it compares
The video models ranked either side of Gemini Omni 1.1 Flash, out of 139 with a score, then more from Google.
| # | model | score | where | ||
|---|---|---|---|---|---|
| 1 | Gemini Omni 1.1 Flash | 81±2 | api $0.10/sec | ||
| 2 |  Wan 3.0 Prime | 80±7 | api $0.14/sec | ||
| 3 | Gemini Omni Flash | 80±2 | api $0.10/sec | ||
| 4 | Wan 3.0 | 79±2 | api $0.10/sec | ||
| 5 |  Dreamina Seedance 2.0 | 79±1 | api $0.30/sec | ||
| more from Google | |||||
| 19 |  Veo 3.1 | 69±1 | api $0.40/sec | ||
| 21 | Veo 3.1 Fast | 68±1 | api $0.10/sec | ||
| 25 | Veo 3 Fast | 65±2 | comparison only | ||
$ what it's good at
text to video▆▄▃▄▆▅█▃▂▂▂▄ #1 of 68 * · 38% of its score · 1 test
| test | result | vs the others in its run | counts |
|---|---|---|---|
| LMArena video | 1516.2 ✎ | ▂▂▃▆█▆·▆▅▁▂▇ beats 41/41 | 38% |
image to video▁▂·▂▅█▅▄▅▆▃▄ #1 of 50 · 41% of its score · 3 tests
| test | result | vs the others in its run | counts |
|---|---|---|---|
| Arena image-to-video | 1488.5 ✎ | ▁▁▁▁▄▇▃▆▃▂▄█ beats 39/40 | 25% |
| Rapidata physics realism (I2V, with reference) | 1366.0 ✎ | ▂··▂▂▆█▆▂▂▆▄ beats 19/19 | 15% |
| Rapidata camera movement (I2V) | 1284.2 ✎ | ▄···▄▄▄█··▄█ beats 8/8 | 0.7% |
other tests4 not in a task · 20% of its score
| test | result | vs the others in its run | counts |
|---|---|---|---|
| Rapidata relative camera movement (I2V, alignment Elo) | 1390.7 ✎ | █···▄▄██·█▄█ beats 12/12 | 9.0% |
| Rapidata image-to-video realism (overall Elo) | 1288.0 ✎ | ▂······▃▂▃▃█ beats 9/12 | 4.8% |
| WROP object-permanence exam (human Elo) | 1492.5 ✎ | ▄····██···▄█ beats 2/7 | 4.1% |
| Datapoint Video Bench (overall Elo) | 1049.3 ✎ | ▃▃·▅·▃·▃··▃█ beats 8/9 | 2.2% |
$ where to run it
Through an API
api · $0.10/sec · ai.google.dev ↗ · price sourceUSD per generated second of 720p video (with audio) on the Gemini Developer API, paid Standard tier. Product: Gemini Developer API. API model: gemini-omni-1.1-flash (GA). Price basis: $17.50 per 1M video output tokens at Google's stated 5,792 tokens per second of 720p video (Google: "approximately $0.10 per second"); 5,792 × $17.50/1M = $0.10136. Input tokens ($1.50/1M) and text output ($9.00/1M) are additional. Currency: USD. Google Gemini API pricing page (last updated 2026-09-24), observed 2026-09-25.
$ how the score was worked out · LMArena leaderboard dataset 64%, Rapidata/world-model-physics… 15%, Rapidata/relative-camera-move… 9% and 4 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 | 64% |
 Rapidata/world-model-physics published dataset-card rankings | 1 | 15% |
| Rapidata/relative-camera-movement-human-preference-900k published dataset-card rankings | 1 | 9% |
| Rapidata/image-to-video-realism published dataset-card rankings | 1 | 5% |
 Training Object Permanence in World Models (WROP exam; arXiv:2609.28654v1) | 1 | 4% |
| Datapoint Video Bench leaderboard (datapointai/text-to-video-human-preferences-326k dataset card) | 1 | 2% |
| Rapidata/camera-movement published dataset-card rankings | 1 | 1% |
| prior · pull toward the middle | 1% | |
| weighted average | = 81.2 |
$ 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