Gemini 3.5 Pro Review: Google’s Full Rebuild — Does It Deliver?
On July 17, Google officially brought Gemini 3.5 Pro to General Availability after months of preview. This is Google’s most comprehensive architectural upgrade of the year: 2 million token context window, an entirely new Deep Think reasoning layer, and competitive pricing at ~$1.25/$10 per 1M tokens.
Technical Highlights
This isn’t just “more parameters.” Google rebuilt the architecture from scratch — rare for a model with hundreds of millions of users. Deep Think is a new reasoning layer that lets the model “think” before responding, similar to how Claude Fable or GPT-5.6 Sol handle complex problems.
Real-World Experiences
Reddit user u/ksraj1001 on r/artificial summarized: “Gemini 3.5 Pro reached GA today, July 17, after a full architectural rebuild — 2M token context, Deep Think reasoning layer, ~$1.25/$10.” Early community feedback focuses on three areas:
1. Massive Context Window: 2 million tokens is the most impressive on the market today. A researcher on Hacker News shared: “I loaded an entire project’s technical documentation — over 500,000 words — and Gemini tracked context throughout. Other models start ‘forgetting’ after about 100K tokens.”
2. Deep Think — Double-Edged Sword: An anonymous developer noted: “Deep Think is impressive for logic problems and code review. But on simple questions, it sometimes ‘thinks’ too much and produces unnecessarily verbose answers. You need to know when to toggle it on and off.”
3. Competitive Pricing: At $1.25/$10, Gemini 3.5 Pro is significantly cheaper than OpenAI’s Sol ($5/$30) while maintaining competitive quality.
Quick Comparison
| Criterion | Gemini 3.5 Pro | GPT-5.6 Sol | Claude Fable 5 |
|---|---|---|---|
| Context window | 2M tokens | 1.05M tokens | 200K tokens |
| Price (in/out per 1M) | $1.25/$10 | $5/$30 | Premium |
| Reasoning mode | Deep Think | xhigh/max/high | Built-in |
| Strength | Long context, low price | Highest quality | Code, safety |
| Weakness | Smaller ecosystem | Most expensive | Shortest context |
Verdict
Gemini 3.5 Pro isn’t the strongest model on every front — Claude Fable 5 and GPT-5.6 Sol still lead in pure quality. But with a 2M token context window and competitive pricing, it’s an excellent choice for long document processing, large codebase analysis, or deep-context research.
As one user summarized: “If your job is reading and analyzing thousands of pages daily, Gemini 3.5 Pro is indispensable. If you need to write complex code, use Claude.”
Sources: Reddit r/artificial, Hacker News, TechTimes, BigGo, Google