PlainAI AI explained plainly

Google · 2025 · 03 · 25 · Model · ~1 min read

Google launched Gemini 2.5 Pro

Google's thinking model. Pauses to reason like OpenAI's o-series, with a million-token context window kept from earlier Geminis. Briefly held the top spot on most leaderboards before OpenAI's o3 took it.

What's actually new

  • Thinking by default. Every answer includes reasoning — no toggle to flip.
  • Million-token context kept. You can paste an entire book and ask questions about it.
  • Topped leaderboards at launch on coding, maths, and complex reasoning tests.

If you want more

Worth knowing~30s
  • 'Top of leaderboards' lasted weeks. OpenAI's o3 took the lead within a month.
  • Thinking mode raised the price-per-call compared to Gemini 1.5 Pro — not a free upgrade.
  • Million-token claim is real, but degrades. Past ~500K tokens accuracy drops noticeably.
Who should care~20s

Developers needing very long context windows. Anyone analysing huge documents. Researchers comparing thinking models. Power users on Google AI Studio's free tier.

What to do about it~20s

If you regularly work with documents over 200 pages, Gemini 2.5 is the default choice. For shorter work, the speed and cost depend on your task — try one real example before switching.

Honest take~45s

Gemini 2.5 Pro was Google catching up at the leading edge of thinking models, not leading. The interesting bit was making thinking the default rather than a toggle — a different bet than OpenAI's o-series and Anthropic's extended-thinking option. Whether default-thinking wins long-term is still open. The million-token context is the underrated feature: nobody else gets close, and it keeps changing what tasks AI is useful for — whole-codebase analysis, full-book summaries, multi-document research.

Other recent model updates

Sources

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