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Which AI writes code that actually compiles — and which one invents methods that don't exist.
No credit card · run the same prompt across all 4 models in one window
Coding is the use case where you can measure quality objectively: does the code run, does it pass the tests, did the model invent a non-existent API. Benchmarks like SWE-bench and HumanEval tell the story; so does any senior engineer who has used all four for a month.
Below is the May 2026 ranking. Things move fast — MultipleChat is the easiest way to run the same coding prompt through all four and pick the one that nails your specific problem.
Claude leads on most non-trivial coding benchmarks and is the engine behind the most-loved IDE tools (Cursor, Claude Code). It's the model most likely to read the surrounding code, follow your conventions, and produce a refactor that doesn't break the tests. ChatGPT is a close second and the better choice when you need image-to-code or rapid scaffolding.
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Strength
Best reasoning on non-trivial code, careful with edge cases, follows existing code style.
Weakness
Slower per response than GPT-4o.
When to use
Refactors, architecture, debugging, anything where correctness matters.
Strength
Fast, broad language coverage, excellent at image-to-code and rapid prototyping.
Weakness
More likely to hallucinate library APIs than Claude.
When to use
Greenfield prototypes, scripting, conversational pair-programming.
Strength
Huge context window — paste an entire repo. Strong on Go, Python, Java.
Weakness
Quality dips noticeably on long completion turns.
When to use
Reading large codebases, monorepo navigation.
Strength
Strong on systems-level and ML code; direct, opinionated suggestions.
Weakness
Smaller IDE-tool ecosystem; fewer integrations.
When to use
Tech-stack opinions, infra debates, ML/DS scripts.
Does the code actually run without edits?
How often does it invent methods or imports that don't exist?
Does it think about null, empty, max-length, concurrency?
Does it match the conventions of the code you pasted in?
Claude and ChatGPT essentially tied. Claude wins slightly on data-pipeline and ML code; ChatGPT on web-frameworks.
Claude. Cursor uses Claude under the hood by default, which is a fair vote of confidence.
Claude for the reasoning, Grok for the contrarian read. Run both in MultipleChat.
Like any code from any source: read it, test it, lint it. AI is faster, not infallible.
MultipleChat lets you run the same prompt across ChatGPT, Claude, Gemini and Grok side-by-side. Verify the ranking on your actual work, not someone else's benchmark.
Try MultipleChat FreeAlso see: Which AI should I use? (quiz) · Best AI for other tasks · AI for your profession
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