general benchmark
Aider-Polyglot Edit
A challenging multi-language coding benchmark that evaluates models' code editing abilities across C++, Go, Java, JavaScript, Python, and Rust. Contains 225 of Exercism's most difficult programming problems, selected as problems that were solved by 3 or fewer out of 7 top coding models. The benchmark focuses on code editing tasks and measures both correctness of solutions and proper edit format usage. Designed to re-calibrate evaluation scales so top models score between 5-50%.
Updated Aug 11, 2026
Models10
Model coverage10
MetricScore
EvidenceB
Aider-Polyglot Edit Ranking
Higher score ranks better on this benchmark.
| 1 | DE | 79.7% | 100.0% | 10 | C | |
| 2 | GO | 72.7% | 88.9% | 10 | C | |
| 3 | OP | 60.4% | 77.8% | 10 | C | |
| 4 | OP | 58.2% | 66.7% | 10 | C | |
| 5 | GO | 56.7% | 55.6% | 10 | C | |
| 6 | OP | 52.9% | 44.4% | 10 | C | |
| 7 | OP | 44.9% | 33.3% | 10 | C | |
| 8 | OP | 31.6% | 22.2% | 10 | C | |
| 9 | OP | 18.2% | 11.1% | 10 | C | |
| 10 | OP | 6.2% | 0.0% | 10 | C |
Aider-Polyglot Edit Score Distribution
A closer view of the leading scores on this benchmark.
Aider-Polyglot Edit Highlights
The leading models and scores on this benchmark.
What is Aider-Polyglot Edit?
What Aider-Polyglot Edit measures and how its scores work.
A challenging multi-language coding benchmark that evaluates models' code editing abilities across C++, Go, Java, JavaScript, Python, and Rust. Contains 225 of Exercism's most difficult programming problems, selected as problems that were solved by 3 or fewer out of 7 top coding models. The benchmark focuses on code editing tasks and measures both correctness of solutions and proper edit format usage. Designed to re-calibrate evaluation scales so top models score between 5-50%.
Scores are shown in ratio. This benchmark is not independently verified and has an evidence level of B.
- Family
- Aider-Polyglot Edit
- Modality
- text
- Primary category
- general
- Score direction
- higher
- LLMBoard eligible
- Yes
- Evaluation key
- aider-polyglot-edit|llm-stats-current
Benchmark scores retain their original unit. Overall score eligibility is shown separately.
FAQ
Common questions about Aider-Polyglot Edit.
Which model scores highest on Aider-Polyglot Edit?
DeepSeek-V3 is currently ranked first with 79.7%.
What does Aider-Polyglot Edit measure?
A challenging multi-language coding benchmark that evaluates models' code editing abilities across C++, Go, Java, JavaScript, Python, and Rust. Contains 225 of Exercism's most difficult programming problems, selected as problems that were solved by 3 or fewer out of 7 top coding models. The benchmark focuses on code editing tasks and measures both correctness of solutions and proper edit format usage. Designed to re-calibrate evaluation scales so top models score between 5-50%.
Is a higher score better?
Yes. Higher values rank better for this benchmark.
How many models are compared?
10 model results are currently shown.
Does this benchmark affect the overall score?
Yes. This benchmark can contribute to the current LLMBoard capability score.