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Gemini 3.5 Review: Is Google's 'Frontier Intelligence with Action' Better Than GPT-5 Pro?

Gemini 3.5 is Google's biggest AI launch of 2026. We ran it against GPT-5 Pro and Claude 4.5 for a week. Here are the five things that actually matter.

Sundas Saghir··10 min read
Futuristic Google AI neural network with glowing holographic action interfaces

On May 19, 2026, Google dropped Gemini 3.5 — its most significant model update since Gemini 2 Ultra. The headline promise is 'frontier intelligence with action,' which translates to deeper agentic workflows, native multi-turn tool use, and a 2-million-token context window that finally feels usable. Within 48 hours, it became the most talked-about AI release of the month. We spent a week running the same eight real-world tasks through Gemini 3.5, GPT-5 Pro, and Claude 4.5. Here's what we found — and which model actually wins.

What Gemini 3.5 Actually Brings to the Table

Google DeepMind isn't just shipping a smarter chatbot. Gemini 3.5 is designed as an action engine: it plans, it calls tools, it observes results, and it loops back to adjust. The 'action' part means Gemini can now hold a long-running task across Google Workspace, Maps, Flights, and third-party APIs without losing state.

  • 2M-token context window with near-linear attention scaling.
  • Native agentic loop: plan → act → observe → replan.
  • Deeper Google Workspace integration: Docs, Sheets, Gmail, Calendar, Drive.
  • Gemini 3.5 Flash API at $1.50 per million input tokens, 1M context.
  • Multimodal reasoning across video, audio, images, and code in a single session.
Gemini 3.5 interface showing agentic workflow steps
Gemini 3.5's action loop can run across Google services and external APIs in a single session.

Test 1: Complex Multi-Step Research

We asked each model to research, compare, and summarize the top four project-management tools for a 50-person remote team, then build a weighted scoring rubric and output a final recommendation.

Gemini 3.5 won on speed and source diversity. It pulled live pricing from four vendor sites, read recent Reddit threads, and checked G2 reviews — all within the same session. GPT-5 Pro produced a more nuanced strategic analysis but required two human nudges to complete the scoring rubric. Claude 4.5 wrote the most readable summary but missed two 2026 pricing changes.

Test 2: Coding a Real Feature From a Figma Spec

We exported a Figma auto-layout spec for a dashboard widget and asked each model to generate a working React + Tailwind component. Gemini 3.5's new visual reasoning parsed the Figma JSON accurately, produced responsive code, and even suggested accessibility fixes. GPT-5 Pro's code was cleaner but required manual breakpoint adjustments. Claude 4.5 wrote the most maintainable TypeScript but missed one spacing detail from the spec.

Test 3: Writing with Voice and Tone

Claude 4.5 remains the best writer of the three. Gemini 3.5's drafts improved noticeably over Gemini 2 Ultra — less corporate, more rhythmic — but still needed a heavier editing pass. GPT-5 Pro sits in the middle: reliable, readable, rarely surprising. If your job is words, Claude is still the tool.

Gemini 3.5 is the fastest researcher, GPT-5 Pro is the most reliable generalist, and Claude 4.5 is still the best writer. The gap is narrowing, but the shape of each model hasn't changed.
Promptly editorial review, May 2026

Test 4: Agentic Task Completion

This is where Gemini 3.5's 'action' branding shows up. We asked it to plan a three-city European trip for two people with a €2,500 budget, including flights, hotels, and a daily restaurant shortlist, then create a shared Google Doc itinerary and add calendar holds.

Gemini completed the entire chain: searched flights on Google Flights, compared hotels, built the Doc, shared it, and added calendar events. It took one correction ('avoid Ryanair') and handled the rest. Neither GPT-5 Pro nor Claude could complete the full chain without human intervention at multiple steps.

Pricing and Access (May 2026)

  • Gemini 3.5: included in Gemini Advanced ($20/mo); API via Google AI Studio.
  • Gemini 3.5 Flash API: $1.50/M input tokens, $6/M output tokens, 1M context.
  • GPT-5 Pro: $20–$200/mo via ChatGPT; API tiered by organization.
  • Claude 4.5: $20–$100/mo via Claude Pro/Max; API standard + extended pricing.

The Verdict: Who Should Switch?

  • Switch to Gemini 3.5 if you live in Google Workspace and want an agent that actually finishes multi-step jobs.
  • Stick with GPT-5 Pro if you want one model that does almost everything reliably well.
  • Keep Claude 4.5 if writing quality, tone, and long-form drafts matter most to your work.

What's Coming Next

Google has already teased Gemini 3.5 Pro with a 4M context window and deeper third-party API partnerships. Anthropic is expected to respond with Claude 5 this summer, and OpenAI's GPT-5 Omni is rumored for a fall launch. The pace isn't slowing — but for now, Gemini 3.5 is the most capable action-oriented model you can actually use today.

Want our full AI chatbot comparison?See ChatGPT vs Claude vs Gemini

Frequently Asked Questions

Is Gemini 3.5 better than GPT-5 Pro?

For action-oriented, multi-step tasks inside Google services, yes. For general reasoning, coding, and versatility, GPT-5 Pro is still slightly ahead. Claude 4.5 leads on writing quality.

What is the Gemini 3.5 context window?

Gemini 3.5 supports up to 2 million tokens in a single session, with near-linear attention scaling. Flash API supports 1 million tokens.

How much does Gemini 3.5 cost?

Gemini 3.5 is included in Gemini Advanced at $20/month. The Flash API is $1.50 per million input tokens and $6 per million output tokens.

Can Gemini 3.5 use tools and APIs?

Yes. Gemini 3.5 has a native agentic loop that plans, acts, observes, and replans. It integrates deeply with Google Workspace and can call third-party APIs.

When was Gemini 3.5 released?

Google announced Gemini 3.5 on May 19, 2026, with immediate availability through Gemini Advanced and the Google AI Studio API.

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