Information Processing (ByteDance Seed in-house)
Models analyze large collections of user-generated content, for example summarizing viewpoints and judging overall sentiment.
One of six in-house application sets in the Seed1.8 model card. Scoring is a guess.
- Level
- Everyday Most adults, without training
- Scored
- Graded by a model A language model scores each response, usually against a rubric.
- Answers
- Open-ended Free-form text, documents, designs or media judged as a whole.
Seed1.8 leads with 53.9%
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
Seed1.8 53.9%
| # | Model | Score | Setting | Date | Source |
|---|---|---|---|---|---|
| 1 | | 53.9% | Dec 2025 | Model card |
Scores over time
All the scores we have, one dot each, so a model tested at several settings appears more than once.
Labs headline it less often now, last in Dec 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 |
|---|---|---|---|
| 18 Dec 2025 | 53.9 | Information Processing |
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 |
|---|---|---|---|---|
| 21 Mar 2026 | | 53.9 | Information Processing (Table 1) | Capabilities |
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