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aider/website/_posts/2025-01-24-r1-sonnet.md

@@ -29,6 +29,40 @@ This is in contrast to the first wave of thinking models like o1-preview and o1-
 which improved when paired with many different editor models.
 
 
+## Try it
+
+Once you [install aider](https://aider.chat/docs/install.html),
+you can use aider, R1 and Sonnet like this:
+
+```bash
+export DEEPSEEK_API_KEY=<your-key>
+export ANTHROPIC_API_KEY=<your-key>
+
+aider --architect --model r1 --editor-model sonnet
+```
+
+Or if you have an [OpenRouter](https://openrouter.ai) account:
+
+```bash
+export OPENROUTER_API_KEY=<your-key>
+
+aider --architect --model openrouter/deepseek/deepseek-r1 --editor-model openrouter/anthropic/claude-3.5-sonnet
+```
+
+## Thinking output
+
+There has been 
+[some recent discussion](https://github.com/Aider-AI/aider/pull/2973)
+about extracting the `<think>` tokens from R1's responses
+and feeding them to Sonnet.
+That was an interesting experiment, for sure.
+
+To be clear, the results above are *not* using R1's thinking tokens, just the normal
+final output. 
+R1 is configured in aider's standard architect role with Sonnet as editor.
+The benchmark results that used the thinking tokens appear to be worse than
+the architect/editor results shared here.
+
 ## Results
 
 <table style="width: 100%; max-width: 800px; margin: auto; border-collapse: collapse; box-shadow: 0 2px 4px rgba(0,0,0,0.1); font-size: 14px;">