Deep Dives10 min read25 May 2026
Claude vs GPT-4 vs Gemini: An Honest Comparison
The three dominant AI families approach the same tasks differently. Here's a no-hype breakdown of where each genuinely excels — and where each falls short.
Treat any "Model X is better than Model Y" claim with scepticism unless it is: (1) based on your specific task, (2) tested on a meaningful sample of real inputs, and (3) recent. The landscape changes fast, and benchmark-based rankings often do not transfer to real workflows.
Context window size is not the same as effective context utilisation. Research on "lost in the middle" effects shows that all models struggle to retrieve information buried in the middle of very long contexts. Gemini 1.5 Pro's 1M token window is impressive, but quality on tasks requiring precise recall from the middle of a very long document degrades significantly.
For legitimate professional tasks (medical information, security research, legal analysis), all three models can be prompted to handle them with appropriate context. The "Claude is too safe" or "GPT refuses everything" complaints often reflect prompts that lack sufficient professional context.
Pricing changes frequently. Always check the current rates at anthropic.com/pricing, platform.openai.com/pricing, and ai.google.dev/pricing before making cost projections. The figures above are indicative for mid-2025 and may be outdated.
ClaudeGPT-4Geminideep divesmodel comparison
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