agents benchmark
Trae Code Gen Leaderboard
Trae Code Gen evaluates the implementation of new functionality across multiple programming languages in containerized, runnable repositories.
Updated Sep 5, 2026
Models2
Model coverage2
MetricScore
EvidenceB
Trae Code Gen Ranking
Higher score ranks better on this benchmark.
Sort by
Rank | Model | Score | Percentile | Participants | Evidence | Evaluated |
|---|
| Rank01 | ModelBY | Score62.40% | Percentile100.00% | Participants2 | EvidenceC | Evaluated |
| Rank02 | ModelBY | Score59.70% | Percentile0.00% | Participants2 | EvidenceC | Evaluated |
Trae Code Gen Highlights
The leading models and scores on this benchmark.
Trae Code Gen Score Distribution
A closer view of the leading scores on this benchmark.
The Top AI Models for Trae Code Gen
The first five results on this benchmark, with official price and output speed added where the model identity can be matched.
What is Trae Code Gen?
What Trae Code Gen measures and how its scores work.
Trae Code Gen is a component of Trae Agent Bench.
It measures performance in implementing new functionality across multiple programming languages in containerized, runnable repositories, reported as a Score ratio.
Scores are shown in ratio. This benchmark is not independently verified and has an evidence level of B.
- Family
- Trae Code Gen
- Modality
- text
- Primary category
- agents
- Score direction
- higher
- LLMBoard eligible
- No
- Evaluation key
- overall
LLM Stats. Benchmark scores retain their original unit. Overall score eligibility is shown separately.
FAQ
Common questions about Trae Code Gen.
Which model scores highest on Trae Code Gen?
Seed 2.1 Pro is currently ranked first with 62.40%.
What are the top three models on Trae Code Gen?
The current leaders are Seed 2.1 Pro (62.40%) and Seed 2.1 Turbo (59.70%).
Which Trae Code Gen model has the lowest official input price?
No matched official input price is currently available.
Which models are fastest among Trae Code Gen results?
No matched runtime record is currently available.
Does the highest score result prove overall model quality?
No. This benchmark measures one defined capability or task. The overall LLMBoard score uses a separate aggregation across eligible benchmark evidence.