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fix: Update sonnet performance analysis post

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Paul Gauthier 2024-08-26 20:50:59 -07:00 • committed by Paul Gauthier (aider)
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aider/website/_posts/2024-08-26-sonnet-seems-fine.md
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@ -11,19 +11,23 @@ nav_exclude: true
# Sonnet seems as good as ever
Recently there has been a lot of speculation that Sonnet has been
dumbed-down, nerfed or is otherwise performing worse.
Sonnet seems as good as ever, at least when accessed via
the API.
As part of developing aider, I benchmark the top LLMs regularly.
I have not noticed
any degradation in Claude 3.5 Sonnet's performance at code editing.
There has been a lot of speculation that Sonnet has been
dumbed-down, nerfed or otherwise performing worse lately.
Sonnet seems as good as ever, at least when accessed via
the API.
Here's a graph showing the performance of Claude 3.5 Sonnet over time.
It shows every benchmark run performed since Sonnet launched.
Below is a graph showing the performance of Claude 3.5 Sonnet over time.
It shows every clean, comparable benchmark run performed since Sonnet launched.
Benchmarks were performed for various reasons, usually
to evaluate the effects of small changes to aider's system prompts.
There is always some variance in benchmark results, typically +/- 1-2%
The graph shows variance, but I don't see any indication of a noteworthy
degradation.
There is always some variance in benchmark results, typically +/- 2%
between runs with identical prompts.
<div class="chart-container" style="position: relative; height:400px; width:100%">
@ -93,7 +97,9 @@ document.addEventListener('DOMContentLoaded', function() {
</script>
This graph shows the performance of Claude 3.5 Sonnet on the
[aider code editing benchmark](https://aider.chat/docs/leaderboards/)
[Aider's code editing benchmark](/docs/benchmarks.html#the-benchmark)
over time. 'Pass Rate 1' represents the initial success rate, while 'Pass Rate 2' shows the success rate after a second attempt with a chance to fix testing errors.
The
[aider LLM code editing leaderboard](https://aider.chat/docs/leaderboards/)
ranks models based on Pass Rate 2.