An argument on Habr gathered three hundred comments — and not a single benchmark. I took four models, from budget to top-tier,
AI Release 🔥 An argument on Habr gathered three hundred comments — and not a single benchmark. I took four models, from budget to top-tier, and ran them through five identical routine tasks. The difference turned out to be not where people expected: on simple scripts and edits, the cheap models performed almost as well as the flagships, but on ambiguous phrasing they started to fall apart. That's no reason to chase the most expensive API — first test your typical tasks. I've published the test prompts and evaluation criteria, so you can replicate it on your own data in an evening. The main takeaway: a smart model isn't needed for routine work, but for that 20% of tasks where the cost of an error is higher. The money you save is better spent on proper prompting. 🔗 Read on habr.com #AI #LLM #neuralnetworks #comparison 9 views 14:17
🤖 AI summary
- Date: 2026-09-20
- Source: t.me
- Key facts:
- AI Release 🔥 An argument on Habr gathered three hundred comments — and not a single benchmark.
- I took four models, from budget to top-tier, and ran them through five identical routine tasks.
- The difference turned out to be not where people expected: on simple scripts and edits, the cheap models performed almost as well as the flagships, but on ambiguous phrasing they started to fall apart.
- That's no reason to chase the most expensive API — first test your typical tasks.
- I've published the test prompts and evaluation criteria, so you can replicate it on your own data in an evening.
- The main takeaway: a smart model isn't needed for routine work, but for that 20% of tasks where the cost of an error is higher.
- The money you save is better spent on proper prompting.
- 🔗 Read on habr.com AI LLM neuralnetworks comparison 9 views 14:17
Source: t.me · post in Telegram