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@ -213,23 +213,42 @@ You can also refer to the
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Aider writes a lot of its own code, usually about 70% of the new code in each
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release.
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People often ask which LLM models I use with aider, when writing aider.
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Below is a table showing the models I use,
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extracted from the [public log of my aider analytics](https://github.com/aider-ai/aider/blob/main/aider/website/assets/sample-analytics.jsonl).
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People often ask which LLMs I use with aider, when writing aider.
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Below is a table showing the models I have used recently,
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extracted from the
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[public log](https://github.com/aider-ai/aider/blob/main/aider/website/assets/sample-analytics.jsonl)
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of my
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[aider analytics](http://127.0.0.1:4000/docs/more/analytics.html).
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<!--[[[cog
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import sys
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from pathlib import Path
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repo_root = Path(__file__).parent.parent.parent.parent
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sys.path.append(str(repo_root))
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sys.path.append(".")
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import scripts.my_models as my_models
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stats = my_models.collect_model_stats()
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html = my_models.format_html_table(stats)
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cog.out(html)
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]]]-->
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<style>
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table { border-collapse: collapse; width: 100%; }
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th, td { padding: 8px; text-align: left; border-bottom: 1px solid #ddd; }
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th { background-color: #f2f2f2; }
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tr:hover { background-color: #f5f5f5; }
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.right { text-align: right; }
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</style>
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<table>
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<tr><th>Model Name</th><th class='right'>Total Tokens</th><th class='right'>Percent</th></tr>
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<tr><td>claude-3-5-sonnet-20241022</td><td class='right'>1,687,074</td><td class='right'>89.4%</td></tr>
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<tr><td>gemini/REDACTED</td><td class='right'>82,572</td><td class='right'>4.4%</td></tr>
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<tr><td>o1-preview</td><td class='right'>79,317</td><td class='right'>4.2%</td></tr>
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<tr><td>deepseek/deepseek-coder</td><td class='right'>24,628</td><td class='right'>1.3%</td></tr>
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<tr><td>gpt-4o</td><td class='right'>9,243</td><td class='right'>0.5%</td></tr>
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<tr><td>gpt-4o-mini</td><td class='right'>3,420</td><td class='right'>0.2%</td></tr>
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</table>
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<!--[[[end]]]-->
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{: .note :}
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Some models show as REDACTED, because they are new or unpopular models.
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Aider's analytics only records the names of "well known" LLMs.
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## How are the "aider wrote xx% of code" stats computed?
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