Benchmark Almanac

ODV-Bench

Seed2.0 Pro 72.5% Fading

Streaming video models answer real-time questions about autonomous driving footage.

Introduced with the StreamForest model, a NeurIPS 2025 spotlight. The format field is a guess.

Made by Zeng et al. (StreamForest team) Released Sep 2025 Video understanding Last in a launch post Apr 2026 , dropped before it saturated Last model added Apr 2026
Level
Everyday Most adults, without training
Scored
Checked automatically A program checks the result against an answer key, unit tests or the expected final state.
Answers
Multiple choice
2
Models scored in lab cards
1
Launch post lists it, from 1 lab
1
System card reports it, from 1 lab

Seed2.0 Pro leads with 72.5%

Best score per model as labs report them in their own cards. Labs pick their own settings, so these compare less cleanly than independent runs.

  1. 1 Seed2.0 Pro 72.5%
  2. 2 Seed2.0 Lite (0428) 66%
#ModelScoreSettingDateSource
1 Seed2.0 Pro 72.5% Feb 2026 Model card
2 Seed2.0 Lite (0428) 66% Apr 2026 Model card

Scores over time

All the scores we have, one dot each, so a model tested at several settings appears more than once.

Reported by the lab in its model card
0% 20% 40% 60% 80% 100% 2026 Near the ceiling (85%) Seed2.0 Pro 0% 20% 40% 60% 80% 100% 2026 Near the ceiling (85%) Seed2.0 Pro

Labs headline it less often now, last in Apr 2026

Launch posts from every lab that has listed it, one tick per post. Tall colored ticks include it, and short gray ones leave it out.

ByteDance Seed
DateLaunch postScoreAs the post writes it
28 Apr 2026 Seed2.0 Lite (0428) 66 ODVBench

One system card reports it

Besides launch posts, we read the system cards, model cards and technical reports labs publish with a release. They report far more, including safety and frontier-risk tests.

DateDocumentScoreAs the document writes itSection
14 Feb 2026 Seed2.0 Pro model card 72.5 ODVBench (Table 9) Capabilities

More in Audio and video

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  • LVBench In use Hours-long video understanding with multiple-choice questions on reasoning, grounding and summarization. Gemini 4 Argon 91.7%
  • MMVU In use 3,000 expert-annotated questions on videos across 27 disciplines. Multiple-choice and open-ended accuracy. Qwen 3.8 Max 82.4%
  • MLVU In use Multi-task long video understanding (minutes to hours) with multiple-choice and generation tasks. Accuracy. Qwen 3.8 Max 90.8%
  • VoiceBench In use Spoken instructions with speaker, environment and content variation. Voice assistant responses scored by GPT judge or rules. Qwen3.5-Omni-Plus 93.1%
  • TVBench In use Models answer multiple-choice questions on 10 temporal video tasks, such as action counting and ordering, that static frames cannot solve. Scored by accuracy. Qwen 3.8 Max 81.9%