You're Using ChatGPT Wrong (And It's Costing You Money)
Different AI models are better at different things. Here's how to stop overpaying.
You’re paying for GPT-4 because it’s the one you’ve heard of. But for half your tasks, a cheaper model does it better. And for the other half, a different model does it faster. You just don’t know which one - because you’ve never compared them side by side on YOUR actual work.
There are now over 100 production-ready AI models
GPT-4, Claude, Gemini, Llama, Mistral, Command R, Grok - and those are just the headline names. Each has variants optimised for different things: speed, accuracy, code, creative writing, analysis, summarisation. Picking one and using it for everything is like using a sledgehammer for every job because it was the first tool you bought.
The cost difference is enormous
GPT-4o costs $5 per million input tokens. Claude Haiku costs $0.25. That’s a 20x difference. For a task where both produce identical quality output - and there are many - you’re burning money for no reason. Across a team of 10 people using AI daily, that’s thousands per year in unnecessary spend.
Quality varies by task, not by brand
Claude consistently outperforms GPT-4 on long-document analysis. GPT-4 is better at structured data extraction. Gemini excels at multimodal tasks. Mistral punches above its weight on European languages. These aren’t opinions - they’re measurable. But you’d never know unless you ran the same prompt through multiple models and compared the results.
LLM Prover does exactly that
Give it your actual prompt - the one you use for work. It runs it through multiple models in parallel and shows you: which one gave the best answer, which one was fastest, which one cost the least. Side by side. On your real data. Not a benchmark someone else ran on a dataset you’ll never use.
And it tracks drift
Models change. Providers update them silently. The model that was best for your task last month might not be best today. LLM Prover tracks this over time - so when quality drops or costs spike, you know immediately. Not three months later when someone notices the outputs look different.
The best AI model is the one that’s best for YOUR specific task. Not the one with the biggest marketing budget. Stop guessing. Compare.