Everyone's talking about the new Claude 3.5 Sonnet release on Poe. The hype is about its coding and reasoning. I've been running both it and GPT-4 (specifically the `gpt-4` model on Poe) through a standardized set of real-world dev tasks for a week. Not just "write a simple function," but scenarios that mirror actual integration work.
My test suite included:
* Refactoring a messy, legacy Salesforce Apex trigger with SOQL queries.
* Writing a Python script to transform and clean a nested JSON payload from a HubSpot API response into a flat CSV.
* Debugging a broken OAuth 2.0 flow implementation in Node.js.
* Generating detailed, step-by-step migration plans for moving custom objects between CRM systems.
Here's where they diverged, concretely.
**Claude 3.5 Sonnet** consistently produced more elegant, production-ready code on the first try. Its refactoring suggestions were structurally superior. For the JSON-to-CSV task, it correctly inferred data types and added proper error handling without being asked. However, it was sometimes *too* cautious, offering multiple approaches when a direct answer was needed.
**GPT-4** was faster at iterating and adapting to specific, oddball constraints ("now make it work with Python 3.8 and no external libraries"). It felt more like a pair programmer willing to try a hacky solution. But its code often required more back-and-forth to reach the same quality bar as Claude's initial output. It also had a higher rate of subtle logic errors in complex conditionals.
Example from the Apex trigger refactor. Given a poorly written trigger, I asked for a best-practice, bulkified version.
Claude's output was textbook: used a `Map` for updates, separated trigger logic into a handler class, and included clear comments. GPT-4's first attempt missed a key bulkification point, looping over `Trigger.new` in a way that would hit governor limits. When pointed out, it corrected it.
**Bottom line for CRM/Integration work:**
* If you need a robust, well-architected first draft of a complex script or module, **Claude 3.5 Sonnet** is currently more reliable.
* If your task requires rapid prototyping, exploring multiple API approaches, or working with less-documented platforms where trial-and-error is needed, **GPT-4**'s iterative speed can be an advantage.
I'm not declaring a winner. It depends on your workflow. For my money, on dense, business-logic-heavy tasks, Claude is pulling ahead. For exploratory coding, GPT-4. I'm continuing to track their performance on new API documentation interpretation tasks.
Show me the query.