general benchmark
Aider-Polyglot Leaderboard
Aider-Polyglot evaluates LLMs on 225 Exercism programming exercises across C++, Go, Java, JavaScript, Python, and Rust, with two attempts per problem and test error feedback after a failed first attempt.
Updated Sep 5, 2026
Models22
Model coverage22
MetricScore
EvidenceB
Aider-Polyglot Ranking
Higher score ranks better on this benchmark.
Sort by
Rank | Model | Score | Percentile | Participants | Evidence | Evaluated |
|---|
| Rank01 | ModelOP | Score88.00% | Percentile100.00% | Participants22 | EvidenceC | Evaluated |
| Rank02 | ModelGO | Score82.20% | Percentile95.24% | Participants22 | EvidenceC | Evaluated |
| Rank03 | ModelOP | Score81.30% | Percentile90.48% | Participants22 | EvidenceC | Evaluated |
| Rank04 | ModelGO | Score76.50% | Percentile85.71% | Participants22 | EvidenceC | Evaluated |
| Rank05 | ModelDE | Score74.50% | Percentile80.95% | Participants22 | EvidenceC | Evaluated |
| Rank06 | ModelDE | Score71.60% | Percentile76.19% | Participants22 | EvidenceC | Evaluated |
| Rank07 | ModelOP | Score68.90% | Percentile71.43% | Participants22 | EvidenceC | Evaluated |
| Rank08 | ModelDE | Score68.40% | Percentile66.67% | Participants22 | EvidenceC | Evaluated |
| Rank09 | ModelOP | Score66.70% | Percentile61.90% | Participants22 | EvidenceC | Evaluated |
| Rank10 | ModelGO | Score61.90% | Percentile57.14% | Participants22 | EvidenceC | Evaluated |
| Rank11 | ModelAC | Score61.80% | Percentile52.38% | Participants22 | EvidenceC | Evaluated |
| Rank12 | ModelMA | Score60.00% | Percentile47.62% | Participants22 | EvidenceC | Evaluated |
| Rank13 | ModelMA | Score60.00% | Percentile42.86% | Participants22 | EvidenceC | Evaluated |
| Rank14 | ModelAC | Score57.30% | Percentile38.10% | Participants22 | EvidenceC | Evaluated |
| Rank15 | ModelOP | Score51.60% | Percentile33.33% | Participants22 | EvidenceC | Evaluated |
| Rank16 | ModelAC | Score49.80% | Percentile28.57% | Participants22 | EvidenceC | Evaluated |
| Rank17 | ModelDE | Score49.60% | Percentile23.81% | Participants22 | EvidenceC | Evaluated |
| Rank18 | ModelMA | Score47.10% | Percentile19.05% | Participants22 | EvidenceC | Evaluated |
| Rank19 | ModelOP | Score34.70% | Percentile14.29% | Participants22 | EvidenceC | Evaluated |
| Rank20 | ModelOP | Score30.70% | Percentile9.52% | Participants22 | EvidenceC | Evaluated |
| Rank21 | ModelGO | Score26.70% | Percentile4.76% | Participants22 | EvidenceC | Evaluated |
| Rank22 | ModelOP | Score9.80% | Percentile0.00% | Participants22 | EvidenceC | Evaluated |
Aider-Polyglot Highlights
The leading models and scores on this benchmark.
Aider-Polyglot Score Distribution
A closer view of the leading scores on this benchmark.
The Top AI Models for Aider-Polyglot
The first five results on this benchmark, with official price and output speed added where the model identity can be matched.
What is Aider-Polyglot?
What Aider-Polyglot measures and how its scores work.
Aider-Polyglot is a coding benchmark based on 225 Exercism programming exercises across C++, Go, Java, JavaScript, Python, and Rust.
It measures initial problem-solving ability and the capacity to edit code based on error feedback, evaluating code generation and editing across multiple programming languages.
Scores are shown in ratio. This benchmark is not independently verified and has an evidence level of B.
- Family
- Aider-Polyglot
- Modality
- text
- Primary category
- general
- 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 Aider-Polyglot.
Which model scores highest on Aider-Polyglot?
GPT-5 is currently ranked first with 88.00%.
What are the top three models on Aider-Polyglot?
The current leaders are GPT-5 (88.00%), Gemini 2.5 Pro Preview 06-05 (82.20%), and o3 (81.30%).
Which Aider-Polyglot model has the lowest official input price?
Gemini 2.5 Flash-Lite has the lowest matched official input price at $0.10 input / $0.40 output per 1M tokens.
Which models are fastest among Aider-Polyglot results?
The fastest matched records are GPT-4.1 mini (467.39 tok/s via OpenAI), GPT-4.1 nano (138.14 tok/s via OpenAI), and GPT-4o (132.00 tok/s via OpenAI).
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.