Intention Recognition (ByteDance Seed in-house)
Models classify intent from dialogues, meeting transcripts, social posts and articles, such as purchase intent in customer service chats.
One of six in-house application sets in the Seed1.8 model card. Scoring is a guess.
- Made by
- ByteDance Seed
- Released
- December 2025
- Kind
- Running a business
- Level
- Everyday
- Scored
- Checked automatically
- Answers
- Short answer
- Tasks
- Kept private
- Last in a launch post
- December 2025, dropped before it saturated
- Last model added
- March 2026
Seed1.8 leads with 63.2%
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 63.2%
Source: Labs’ model cards
| # | Model | Score | Setting | Date | Source |
|---|---|---|---|---|---|
| 1 | | 63.2% | Dec 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
Labs headline it less often now, last in December 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 |
|---|---|---|---|
| Dec 18, 2025 | 63.2 | Intention Recognition |
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 |
|---|---|---|---|---|
| Mar 21, 2026 | | 63.2 | Intention Recognition (Table 1) | Capabilities |
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