Gemini

Honestly?

Gemini has never clicked with me. And I've tried it repeatedly — every time Google announced a new version, I sat down and gave it a chance. I always come back to Claude.

What Gemini does well

Google integration

If you live in the Google ecosystem (Gmail, Docs, Sheets, Calendar), Gemini is a natural choice. It summarizes email, writes in Docs, analyzes data in Sheets. Claude and ChatGPT don't do this as natively.

Massive context

Two million tokens sounds impressive. And for some use cases it really is — you drop in an entire book or a huge dataset. The problem is that retrieval quality drops. Claude with 200k finds a needle in a haystack more reliably than Gemini with 2M.

Price

Gemini is the cheapest option for API use. If you're doing batch processing and don't need top-tier accuracy, you save money.

What Gemini can't do

Code

I tested Gemini on the same tasks as Claude. The results are... functional, but not elegant. Gemini tends to generate verbose code with too many comments and doesn't always follow project conventions.

Czech

This is where Gemini is the weakest of the big three. Czech answers sound like they've been translated from English. Declension is sometimes off, sentence structure feels unnatural. For a Czech site, that's a dealbreaker.

Consistency

Gemini has a consistency problem — the same prompt can produce noticeably different results. For automation and API integrations, that's frustrating.

When Gemini makes sense

• You're all-in on Google Workspace and want AI directly in Docs/Sheets
• You process large amounts of data at low cost
• You need multimodal analysis (video + audio)
• You're looking for the cheapest API for batch operations

Verdict

Gemini is a solid AI, but not an exceptional one. Google has the resources to make it better, and every version is an improvement. But today? For professional work in Czech, I'd reach for Claude or ChatGPT.