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general benchmark

Aider-Polyglot Edit Leaderboard

A multi-language code-editing benchmark containing 225 difficult Exercism programming problems across C++, Go, Java, JavaScript, Python, and Rust.

Updated Sep 5, 2026

Models10
Model coverage10
MetricScore
EvidenceB

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Aider-Polyglot Edit Ranking

Higher score ranks better on this benchmark.

10 rows
Columns

Show columns

Sort by
Rank
Model
Score
Percentile
Participants
Evidence
Evaluated
Rank01ModelDEDeepSeek-V3DeepSeekScore79.70%Percentile100.00%Participants10EvidenceCEvaluatedSep 8, 2026
Rank02ModelGOGemini 2.5 ProGoogleScore72.70%Percentile88.89%Participants10EvidenceCEvaluatedSep 8, 2026
Rank03ModelOPo3-miniOpenAIScore60.40%Percentile77.78%Participants10EvidenceCEvaluatedSep 8, 2026
Rank04ModelOPo4-miniOpenAIScore58.20%Percentile66.67%Participants10EvidenceCEvaluatedSep 8, 2026
Rank05ModelGOGemini 2.5 FlashGoogleScore56.70%Percentile55.56%Participants10EvidenceCEvaluatedSep 8, 2026
Rank06ModelOPGPT-4.1OpenAIScore52.90%Percentile44.44%Participants10EvidenceCEvaluatedSep 8, 2026
Rank07ModelOPGPT-4.5OpenAIScore44.90%Percentile33.33%Participants10EvidenceCEvaluatedSep 8, 2026
Rank08ModelOPGPT-4.1 miniOpenAIScore31.60%Percentile22.22%Participants10EvidenceCEvaluatedSep 8, 2026
Rank09ModelOPGPT-4oOpenAIScore18.20%Percentile11.11%Participants10EvidenceCEvaluatedSep 8, 2026
Rank10ModelOPGPT-4.1 nanoOpenAIScore6.20%Percentile0.00%Participants10EvidenceCEvaluatedSep 8, 2026

Aider-Polyglot Edit Highlights

The leading models and scores on this benchmark.

Aider-Polyglot Edit Score Distribution

A closer view of the leading scores on this benchmark.

Aider-Polyglot Edit

The Top AI Models for Aider-Polyglot Edit

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 Edit?

What Aider-Polyglot Edit measures and how its scores work.

A benchmark for evaluating models on code-editing tasks using 225 Exercism programming problems selected because 3 or fewer of 7 top coding models solved them.

It measures solution correctness and proper edit format usage, reported as a Score ratio.

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
No
Evaluation key
overall

LLM Stats. 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 79.70%.

What are the top three models on Aider-Polyglot Edit?

The current leaders are DeepSeek-V3 (79.70%), Gemini 2.5 Pro (72.70%), and o3-mini (60.40%).

Which Aider-Polyglot Edit model has the lowest official input price?

GPT-4.1 nano has the lowest matched official input price at $0.10 input / $0.40 output per 1M tokens.

Which models are fastest among Aider-Polyglot Edit 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.

What does Aider-Polyglot Edit measure?

It measures solution correctness and proper edit format usage, reported as a Score ratio.

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?

No. This benchmark is shown for reference but does not contribute to the overall score.

Rank #1DeepSeek-V379.70%
Rank #2Gemini 2.5 Pro72.70%
Rank #3o3-mini60.40%
Rank #4o4-mini58.20%

Ranking basisThis aider-polyglot edit AI model leaderboard uses descending score in the benchmark original unit. The leaderboard ranking keeps matched price and speed data separate from benchmark evidence.

  1. 01
    DE
    DeepSeek-V3DeepSeek
    Score
    79.70%
    Speed
    Up to 100.00 tok/s via DeepSeek

    Strengths

    • Ranks #1 of 10 compared models
    • 100th percentile on this benchmark
    • C evidence result

    Considerations

    • This result measures Aider-Polyglot Edit, not total model capability
  2. 02
    GO
    Gemini 2.5 ProGoogle
    Score
    72.70%
    Price
    $1.3 input / $10 output per 1M tokens
    Speed
    Up to 18.89 tok/s via Google

    Strengths

    • Ranks #2 of 10 compared models
    • 89th percentile on this benchmark
    • C evidence result

    Considerations

    • This result measures Aider-Polyglot Edit, not total model capability
  3. 03
    OP
    OpenAI
    Score
    60.40%
    Price
    $1.1 input / $4.4 output per 1M tokens
    Speed
    Up to 115.00 tok/s via Azure

    Strengths

    • Ranks #3 of 10 compared models
    • 78th percentile on this benchmark
    • C evidence result

    Considerations

    • This result measures Aider-Polyglot Edit, not total model capability
  4. 04
    OP
    OpenAI
    Score
    58.20%
    Price
    $1.1 input / $4.4 output per 1M tokens
    Speed
    Up to 115.00 tok/s via OpenAI

    Strengths

    • Ranks #4 of 10 compared models
    • 67th percentile on this benchmark
    • C evidence result

    Considerations

    • This result measures Aider-Polyglot Edit, not total model capability
  5. 05
    GO
    Google
    Score
    56.70%
    Price
    $0.30 input / $2.5 output per 1M tokens
    Speed
    Up to 85.00 tok/s via Google

    Strengths

    • Ranks #5 of 10 compared models
    • 56th percentile on this benchmark
    • C evidence result

    Considerations

    • This result measures Aider-Polyglot Edit, not total model capability

Selection summary

Best AI Models for Aider-Polyglot Edit

DeepSeek-V3 currently leads Aider-Polyglot Edit with 79.70%. 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.

o3-mini
o4-mini
Gemini 2.5 Flash
Benchmark rank #1DeepSeek-V379.70% · Up to 100.00 tok/s via DeepSeek
Benchmark rank #2Gemini 2.5 Pro72.70% · $1.3 input / $10 output per 1M tokens
Benchmark rank #3o3-mini60.40% · $1.1 input / $4.4 output per 1M tokens