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Artificial Analysis releases Gemini Omni Flash 1.2 video evaluation and leaderboards

11/11/2026 — 11/11, 08:18·1 sources (all)·8 reports (all)

Key takeaways

  • Artificial Analysis has published a video evaluation and leaderboard for Gemini Omni Flash 1.2, covering AA-Video-T2V, AA-Video-I2V, and AA-…
  • these figures come from Artificial Analysis reporting and estimates.

Background & analysis

On November 11, 2026, AI benchmarking platform Artificial Analysis announced a new Search API leaderboard via its official X account (@artificialanlys). Alongside the ranking, the organization published a methodology document that details the exact configuration used in Keenable Search, so that evaluation conditions are transparent and results can be checked externally. Artificial Analysis also stated that every Search API result in the leaderboard was produced by Stirrup, the team's open-source agent harness, and shared a link to Stirrup so others can reproduce the evaluations. This is currently the only available reporting on the release, with no vendor responses or follow-up developments recorded yet.

AI-generated from 1 reports · updated 3 days ago

Latest turnAccording to Artificial Analysis, Gemini Omni Flash 1.2 has been added to their video evaluation leaderboards. Users can check its performance across AA-Video-T2V, AA-Video-I2V, and AA-Video-Editing benchmarks, as well as vote in the Video Arena, providing a third-party reference for evaluating multimodal video generation and editing capabilities.

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Reports on this story headlines open the original

Nov 11
  1. According to Artificial Analysis, Gemini Omni Flash 1.2 has been added to their video evaluation leaderboards. Users can check its performance across AA-Video-T2V, AA-Video-I2V, and AA-Video-Editing benchmarks, as well as vote in the Video Arena, providing a third-party reference for evaluating multimodal video generation and editing capabilities.

    X:Artificial Analysis (@artificialanlys)First-partyAI score 48
  2. According to Artificial Analysis, Gemini Omni Flash 1.2 ranks #1 in complex edits and visual effects editing on the AA-Video-Editing v1.1 leaderboard, outperforming Wan 3.0, while holding #2 in object editing. This demonstrates the model's updated capabilities in video post-processing and visual effects.

    X:Artificial Analysis (@artificialanlys)First-partyAI score 54
  3. 据 Artificial Analysis 报道,Gemini Omni Flash 1.2 在文本提示词生成视频(T2V)和图像提示词生成视频(I2V)中展现出不同特性,以起始帧输入时其在 20 项能力中较前代版本有显著提升。该评测揭示了多模态输入对视频生成质量的具体影响。

    X:Artificial Analysis (@artificialanlys)First-partyAI score 52
  4. According to Artificial Analysis, Gemini Omni Flash 1.2 excels in dialogue scenes and designed content generation on the AA-Video-T2V leaderboard, rising to #1 in dialogue and lip sync, and #2 in multi-scene narrative. This reflects the model's capability evolution in specific video vertical use cases.

    X:Artificial Analysis (@artificialanlys)First-partyAI score 52
  5. According to Artificial Analysis benchmarks, Gemini Omni Flash 1.2 generates a 10-second 1080p video in roughly 76 seconds, outperforming several higher-ranked video generation models tested. It outpaces competitors like MiniMax H3 and Wan 3.0 in rendering speed.

    X:Artificial Analysis (@artificialanlys)First-partyAI score 52
  6. Gemini Omni Flash 1.2 costs $6.26 per minute of 1080p video, representing a 31% reduction compared to version 1.1, per Artificial Analysis. Google prices the model at $12.00 per million output video tokens on the Gemini API, down from $17.50.

    X:Artificial Analysis (@artificialanlys)First-partyAI score 56
  7. Gemini Omni Flash 1.2, Google's video model released on November 5, secured the #2 spot on AA-Video-Editing v1.1, according to Artificial Analysis. The model also improved its rankings on text-to-video and image-to-video benchmarks.

    X:Artificial Analysis (@artificialanlys)First-partyAI score 52
  8. Artificial Analysis published a leaderboard ranking search APIs, along with its methodology and the specific settings used for Keenable Search. All Search API results were produced with Stirrup, the team's open-source agent harness, so the evaluation can be reproduced.

    X:Artificial Analysis (@artificialanlys)First-partyAI score 50

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