reasoning benchmark
Aider
Aider is a comprehensive code editing benchmark based on 133 practice exercises from Exercism's Python repository, designed to evaluate AI models' ability to translate natural language coding requests into executable code that passes unit tests. The benchmark measures end-to-end code editing capabilities, including GPT's ability to edit existing code and format code changes for automated saving to local files. The Aider Polyglot variant extends this evaluation across 225 challenging exercises spanning C++, Go, Java, JavaScript, Python, and Rust, making it a standard benchmark for assessing multilingual code editing performance in AI research.
Updated Aug 7, 2026
Published models4
Registry coverage4
MetricScore
EvidenceB
Aider leaderboard
Sorted by the source-provided rank. Higher score is better according to the registry.
| 1 | DE | 72.2% | 100.0% | 4 | C | |
| 2 | AC | 61.8% | 66.7% | 4 | C | |
| 3 | AC | 55.6% | 33.3% | 4 | C | |
| 4 | AC | 50.2% | 0.0% | 4 | C |
Score distribution
Top published rows on the benchmark's original scale.
Aider highlights
The top published results on this benchmark's own scale.
What is Aider?
Definition and scoring fields from the benchmark registry.
Aider is a comprehensive code editing benchmark based on 133 practice exercises from Exercism's Python repository, designed to evaluate AI models' ability to translate natural language coding requests into executable code that passes unit tests. The benchmark measures end-to-end code editing capabilities, including GPT's ability to edit existing code and format code changes for automated saving to local files. The Aider Polyglot variant extends this evaluation across 225 challenging exercises spanning C++, Go, Java, JavaScript, Python, and Rust, making it a standard benchmark for assessing multilingual code editing performance in AI research.
Scores are shown in ratio. The current registry marks this benchmark as not independently verified with evidence level B.
- Family
- Aider
- Modality
- text
- Primary category
- reasoning
- Score direction
- higher
- LLMBoard eligible
- No
- Evaluation key
- aider|llm-stats-current
Source-native results are preserved. Eligibility for the overall LLMBoard score is a separate policy decision.
FAQ
Common questions about Aider.
Which model scores highest on Aider?
DeepSeek-V2.5 is currently ranked first with 72.2%.
What does Aider measure?
Aider is a comprehensive code editing benchmark based on 133 practice exercises from Exercism's Python repository, designed to evaluate AI models' ability to translate natural language coding requests into executable code that passes unit tests. The benchmark measures end-to-end code editing capabilities, including GPT's ability to edit existing code and format code changes for automated saving to local files. The Aider Polyglot variant extends this evaluation across 225 challenging exercises spanning C++, Go, Java, JavaScript, Python, and Rust, making it a standard benchmark for assessing multilingual code editing performance in AI research.
Is a higher score better?
Yes. Higher values rank better for this benchmark.
How many models are compared?
4 unique published model results are currently shown.
Does this benchmark affect the overall score?
This benchmark is preserved as source-native evidence but is not eligible for the current overall score.