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Claude vs GPT for coding

Anthropic's Claude family and OpenAI's GPT family are the two dominant LLM choices for AI coding tools in 2026. Both ship multiple model tiers — daily-driver, reasoning, budget — and the right pick depends on your task.

The lineup

ModelStrengthPrice (in/out per 1M)Context
Claude Opus 4.7Top reasoning, long agentic tasks$15 / $75200K
Claude Sonnet 4.6Daily driver, best cost/quality$3 / $15200K
Claude Haiku 4.5Fast, cheap, surprisingly capable$1 / $5200K
GPT-4oMultimodal daily driver$2.50 / $10128K
o3Heavy reasoning, top SWE-bench$10 / $40200K

Where Claude wins

Where GPT wins

The honest pick

For day-to-day coding inside Cursor / Cline / Aider: Claude Sonnet 4.6. It's the consensus pick for a reason.

For hard reasoning problems and long autonomous runs: o3 or Claude Opus 4.7. Test both — they trade leads constantly.

For high-volume / budget work: Claude Haiku 4.5 or GPT-4o mini. Haiku punches well above its price.

Most modern tools (Cursor, Cline, Continue.dev, Aider) let you switch models per-conversation. Use a cheap model for boilerplate, escalate to Opus or o3 for hard problems.

Pair the right model with the right IDE and agent. Flowpicker warns you when they don't play nice.

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