What's the best AI model for coding?
Corbin Brown
2 min read
Any article that names one model as “the best for coding” has a shelf life of about six weeks — the frontier labs leapfrog each other constantly, and whichever name we printed here would eventually be stale advice. So here's the durable version: what the rankings actually measure, what they miss, and the five-minute method that picks the right model for your project regardless of what shipped last Tuesday.
What “best” hides
Benchmark scores measure a model solving isolated programming puzzles. Your work is different: long sessions in a real codebase, following instructions across many steps, knowing when to stop and ask. Models have personalities along exactly those lines — some are brilliant sprinters that go rogue on step twelve, others are less flashy but relentlessly obedient. A model that's two points “worse” on a leaderboard but stays on task through a forty-minute refactor is better for you, and no chart captures that.
The picking method
- 1Shortlist the frontier: the current top coding models from Anthropic, OpenAI, and Google — whatever your editor's model picker marks as its heavyweights. In Cursor that's a dropdown; the shortlist is never more than four names.
- 2Run the same real task through each — not a toy prompt, an actual feature from your project. Same wording, fresh chat.
- 3Judge like a manager: Did it follow the instructions, or its own agenda? Did it touch files it shouldn't? Did the result work? How was the diff to review?
- 4Pick a daily driver and a second opinion. Use the winner for everything; when it gets stuck or the task is unusually delicate, ask the runner-up. Re-run this test when a major release drops, not every news cycle.
FAQ
Should I use different models for different tasks?
Yes, and it's the norm among heavy users: a fast cheap model for renames and boilerplate, the flagship for architecture and debugging. The judgment call takes one second — “would I trust an intern with this?” — intern-safe tasks go to the fast model.
Do free models work for vibe coding?
For learning and light projects, genuinely yes — free tiers today beat paid flagships from eighteen months ago. The gap shows on long agent sessions in real codebases: staying on task, honoring constraints, recovering from errors. When you're building something that matters, frontier models pay for themselves in un-broken code.