Benchmark Almanac

Intention Recognition (ByteDance Seed in-house)

Seed1.8 63.2% Fading

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 Dec 2025 Running a business Tasks kept private Last in a launch post Dec 2025 , dropped before it saturated Last model added Mar 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
Short answer A number, word or short string matched to a key.
1
Model scored in lab cards
1
Launch post lists it, from 1 lab
1
System card reports it, from 1 lab

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. 1 Seed1.8 63.2%
#ModelScoreSettingDateSource
1 Seed1.8 63.2% 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.

Reported by the lab in its model card
0% 20% 40% 60% 80% 100% 2026 Near the ceiling (85%) Seed1.8 0% 20% 40% 60% 80% 100% 2026 Near the ceiling (85%) Seed1.8

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.

ByteDance Seed
DateLaunch postScoreAs the post writes it
18 Dec 2025 Seed1.8 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.

DateDocumentScoreAs the document writes itSection
21 Mar 2026 Seed1.8 model card 63.2 Intention Recognition (Table 1) Capabilities

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