agents benchmark
SWE-Atlas Leaderboard
SWE-Atlas is a software engineering benchmark focused on debugging, evaluating a model's ability to localize and fix bugs in real-world codebases.
Updated Aug 17, 2026
Models2
Model coverage2
MetricScore
EvidenceB
SWE-Atlas Ranking
Higher score ranks better on this benchmark.
Sort by
Rank | Model | Score | Percentile | Participants | Evidence | Evaluated |
|---|
| Rank01 | ModelBY | Score35.2% | Percentile100.0% | Participants2 | EvidenceC | Evaluated |
| Rank02 | ModelBY | Score30.6% | Percentile0.0% | Participants2 | EvidenceC | Evaluated |
SWE-Atlas Highlights
The leading models and scores on this benchmark.
SWE-Atlas Score Distribution
A closer view of the leading scores on this benchmark.
The Top AI Models for SWE-Atlas
The first five results on this benchmark, with official price and output speed added where the model identity can be matched.
Ranking basisThis swe-atlas AI model leaderboard uses descending score in the benchmark's original unit. The leaderboard ranking keeps matched price and speed data separate from benchmark evidence.
- 01BYSeed 2.1 ProByteDance
- Score
- 35.2%
Strengths
- Ranks #1 of 2 compared models
- 100th percentile on this benchmark
- C evidence result
Considerations
- This result measures SWE-Atlas, not total model capability
- 02BYSeed 2.1 TurboByteDance
- Score
- 30.6%
Strengths
- Ranks #2 of 2 compared models
- 0th percentile on this benchmark
- C evidence result
Considerations
- This result measures SWE-Atlas, not total model capability
Selection summary
Best AI Models for SWE-Atlas
Seed 2.1 Pro currently leads SWE-Atlas with 35.2%. It is the top model on this specific benchmark, while the best LLM for the broader task should also be checked against other benchmarks, price and runtime.
Use this leaderboard with the supporting benchmark results and coverage details above. A leaderboard position summarizes the selected ranking signal; it does not replace workload-specific testing.
What is SWE-Atlas?
What SWE-Atlas measures and how its scores work.
SWE-Atlas is a software engineering benchmark focused on debugging, evaluating a model's ability to localize and fix bugs in real-world codebases.
Scores are shown in ratio. This benchmark is not independently verified and has an evidence level of B.
- Family
- SWE-Atlas
- Modality
- text
- Primary category
- agents
- Score direction
- higher
- LLMBoard eligible
- No
- Evaluation key
- swe-atlas|llm-stats-current
Benchmark scores retain their original unit. Overall score eligibility is shown separately.
FAQ
Common questions about SWE-Atlas.
Which model scores highest on SWE-Atlas?
Seed 2.1 Pro is currently ranked first with 35.2%.
What does SWE-Atlas measure?
SWE-Atlas is a software engineering benchmark focused on debugging, evaluating a model's ability to localize and fix bugs in real-world codebases.
Is a higher score better?
Yes. Higher values rank better for this benchmark.
How many models are compared?
2 model results are currently shown.
Does this benchmark affect the overall score?
No. This benchmark is shown for reference but does not contribute to the overall score.