OpenAI vs Claude vs Gemini for real projects — where each wins, the trade-offs, and the verdict from a firm that builds with all of them.
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The comparison above is general; your decision isn't. The inputs that actually settle it: your team's current fluency, your hiring market, your existing estate, and the workload's real shape — inputs a scoping call gathers in thirty minutes and turns into a written recommendation with reasoning. Because we build with all of the above, the recommendation is free of allegiance: it's the same honest-routing doctrine the whole practice runs on. Per task, per quarter — a moving answer, which is the argument for routing architecture over brand commitment. We re-benchmark on client eval sets as releases land.
| Dimension | OpenAI (GPT) | Anthropic (Claude) | Google (Gemini) |
|---|---|---|---|
Ecosystem/tooling | Deepest | Strong, MCP-centric | Strong in GCP |
Long-context document work | Strong | Frequently class-leading | Massive windows |
Agent/tool reliability | Strong | Benchmarks strongly on our evals | Improving fast |
Cost flexibility | Wide tier range | Wide tier range | Aggressive at volume |
Lock-in risk if you architect well | None | None | None |
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