Trae Agent Bench
Only in system cards
Coding agents complete tasks drawn from real use of the Trae coding product, such as web development, bug fixing, code generation, artifacts and environment setup.
In-house ByteDance Seed evaluation. The model card reports it as separate rows per task type with no overall score.
Made by ByteDance Seed Released Jun 2026 Fixing real repositories Tasks kept private Last in a system card Jun 2026
Last model added Jun 2026
- Level
- Expert Specialists with years of training, often over hours of work
- Scored
- Checked automatically A program checks the result against an answer key, unit tests or the expected final state.
- Answers
- Agent task Many steps in a terminal, browser, desktop, app, game or robot.
1
System card reports it, from 1 lab
No scores here yet
No lab, leaderboard or Epoch AI run has reported a score for Trae Agent Bench yet.
Labs report it only in system cards
We read the headline results of 479 launch posts from 51 labs, and none of them list this benchmark. Some system cards do, below.
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 |
|---|---|---|---|---|
| 23 Jun 2026 |  Seed2.1 Pro model card | Trae rows with no overall: Web Bench 78.4, Repo Env 55.0, Artifacts 51.0, Error Fix Python 70.7, JS 74.6, Java 66.7, Go 63.3, Code Gen Python 75.6, JS 62.4 (Table 5) | Capabilities |
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