StreamBench (StreamChat)
Seed1.5-VL 72.8% Video models answer questions on streaming videos across media types, including multi-turn interaction and reasoning tasks.
Published at ICLR 2025 with the StreamChat framework. It is a different test from StreamBench for language agents (arXiv 2406.08747).
- Made by
- Xiong et al. (StreamChat team)
- Released
- January 2025
- Kind
- Video understanding
- Level
- Everyday
- Scored
- Checked automatically
- Answers
- Short answer
- Last in a launch post
- May 2025, dropped before it saturated
- Last model added
- May 2025
Seed1.5-VL leads with 72.8%
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 Seed1.5-VL 72.8%
Source: Labs’ model cards
| # | Model | Score | Setting | Date | Source |
|---|---|---|---|---|---|
| 1 | Seed1.5-VL | 72.8% | May 2025 | Lab model card |
Scores over time
All the scores we have, one dot each, so a model tested at several settings appears more than once.
Source: Labs’ model cards
No launch post has listed it since May 2025
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.
| Date | Launch post | Score | As the post writes it |
|---|---|---|---|
| May 12, 2025 | Seed1.5-VL | 72.8 | StreamBench |
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.
| Date | Document | Score | As the document writes it | Section |
|---|---|---|---|---|
| May 11, 2025 | Seed1.5-VL technical report | 72.8 | StreamBench, thinking (Table 7). Non-thinking 71.2 | Capabilities |
More in Audio and video
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- MLVU In use Multi-task long video understanding (minutes to hours) with multiple-choice and generation tasks. Accuracy. Qwen 3.8 Max 90.8%
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