agents benchmark
SWE Atlas - Codebase QnA Leaderboard
SWE Atlas - Codebase QnA evaluates a model's ability to answer questions about real codebases, measuring repository-level comprehension and the ability to reason about code structure, behavior, and intent across an entire project.
Updated Aug 17, 2026
Models2
Model coverage2
MetricScore
EvidenceB
SWE Atlas - Codebase QnA Ranking
Higher score ranks better on this benchmark.
Sort by
Rank | Model | Score | Percentile | Participants | Evidence | Evaluated |
|---|
| Rank01 | ModelPO | Score46.2% | Percentile100.0% | Participants2 | EvidenceC | Evaluated |
| Rank02 | ModelMI | Score37.9% | Percentile0.0% | Participants2 | EvidenceC | Evaluated |
SWE Atlas - Codebase QnA Highlights
The leading models and scores on this benchmark.
SWE Atlas - Codebase QnA Score Distribution
A closer view of the leading scores on this benchmark.
The Top AI Models for SWE Atlas - Codebase QnA
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 - codebase qna 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.
- 01POLaguna S 2.1Poolside
- Score
- 46.2%
Strengths
- Ranks #1 of 2 compared models
- 100th percentile on this benchmark
- C evidence result
Considerations
- This result measures SWE Atlas - Codebase QnA, not total model capability
- 02MIMiniMax M3MiniMax
- Score
- 37.9%
- Price
- $0.30 input / $1.2 output per 1M tokens
- Speed
- Up to 214 tok/s via Together
Strengths
- Ranks #2 of 2 compared models
- 0th percentile on this benchmark
- C evidence result
Considerations
- This result measures SWE Atlas - Codebase QnA, not total model capability
Selection summary
Best AI Models for SWE Atlas - Codebase QnA
Laguna S 2.1 currently leads SWE Atlas - Codebase QnA with 46.2%. 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 - Codebase QnA?
What SWE Atlas - Codebase QnA measures and how its scores work.
SWE Atlas - Codebase QnA evaluates a model's ability to answer questions about real codebases, measuring repository-level comprehension and the ability to reason about code structure, behavior, and intent across an entire project.
Scores are shown in ratio. This benchmark is not independently verified and has an evidence level of B.
- Family
- SWE Atlas - Codebase QnA
- Modality
- text
- Primary category
- agents
- Score direction
- higher
- LLMBoard eligible
- No
- Evaluation key
- swe-atlas-codebase-qna|llm-stats-current
Benchmark scores retain their original unit. Overall score eligibility is shown separately.
FAQ
Common questions about SWE Atlas - Codebase QnA.
Which model scores highest on SWE Atlas - Codebase QnA?
Laguna S 2.1 is currently ranked first with 46.2%.
What does SWE Atlas - Codebase QnA measure?
SWE Atlas - Codebase QnA evaluates a model's ability to answer questions about real codebases, measuring repository-level comprehension and the ability to reason about code structure, behavior, and intent across an entire project.
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.