I spent a few hours playing with Google DeepMind's new Gemini 2.5 Pro in AI studio, and I need to share what I found. As someone deep into the AI industry and the trenches of automations with Latenode, I get excited by new tech, but I'm also skeptical. Is it just hype, or can this actually make our workflows smarter and more effective?
Gemini 2.5 Pro feels like more than just an incremental AI model update; it hints at a shift towards more capable, nuanced AI assistants.
What Stood Out Immediately?
Google DeepMind sets Gemini 2.5 Pro as a step up in advanced reasoning, complex planning, and crucially for us builders, tool use and agent capabilities. Here’s what caught my eye:
The Reasoning: It felt sharper. I gave it some logic problems – things that usually trip up models or result in generic answers. Gemini 2.5 Pro seemed better at following intricate instructions and breaking down multi-step requests than OpenAI o3 Mini.
Gemini outperforms other models by a large margin in GPQA Diamond, a benchmark for testing scientific reasoning, and Humanity’s Last Exam, a benchmark for testing general reasoning and knowledge across multiple domains.
Handling Long Inputs: The 1-million-wide context window isn't just a bigger number. I fed it a dense, 50-page PDF report filled with tables and jargon. Its ability to extract specific data points and summarize key sections without losing the plot was noticeably better than previous models I've worked with.
At MRCR, a benchmark for testing long context understanding and handling, Gemini 2.5 Pro shows an impressive result: 91.5% accuracy score when testing the performance at 128K context, and 83.1% score when testing it at 1M context. That’s far ahead of OpenAI o3 Mini (36.3%) and GPT-4.5 (48.8%).
Instruction Following: This is key for prompting and AI automation on Latenode. You need an AI that reliably does what you ask. Gemini 2.5 Pro showed promising signs of understanding nuance in prompts, especially when defining output formats or specific tasks within a larger request. It feels closer to giving instructions to a capable junior team member.
Advanced Coding: According to SWE-Bench Verified, the industry benchmark for agentic code evaluations, Gemini 2.5 Pro achieved a 63.8% score using a custom agent setup. This is far ahead of OpenAI models, but still behind the king of coding – Claude 3.7 Sonnet (70.3%). It’s an honorable advantage, but it’s useless when it comes to AI automation on Latenode with JS code integration, because it has a flawless pre-trained Javascript AI assistant.
Create unlimited integrations with branching, multiple triggers coming into one node, use low-code or write your own code with AI Copilot.
Putting It Through Its Paces: Real-World Tests
Enough theory. I wanted to see how it performed on tasks relevant to my daily work on articles, files, as well as .
Complex Document Processing: I uploaded a sample of a scanned contract and asked Gemini 2.5 Pro to identify specific clauses related to payment terms, termination conditions, and liability limits, then format them in Markdown with formatting where it’s relevant.
It handled the slightly messy scan surprisingly well and structured the output exactly as requested, even found the appropriate places to add formatting such as bold font, structured list, and so on. This is huge for automating contract review or data extraction from invoices. The model has an 81.7% score in MMMU, an industry benchmark for visual reasoning, compared to 74.4% shown by GPT-4.5 and 75% by Claude 3.7 Sonnet.
Multi-Step Planning Query: I drafted a prompt: "Based on this customer testimonial, identify the top 3 recurring complaints. Then, generate a pain point that a customer has faced, and then suggest a potential internal process improvement.” Gemini 2.5 Pro handled the sequence – analysis, suggestion, then drafting. This shows its potential for more sophisticated agent capabilities, where the AI handles a chain of related tasks.
Creative Writing with Context: provided raw input based on a search query related to creative writing techniques and asked Gemini 2.5 Pro to generate a distinct blog post tailored to different types of aspiring writers. It picked up on subtle cues in the prompt — such as tone, intent, and target audience — and crafted well-defined content paths for novelists, poets, and screenwriters.
Is This Really ‘Next-Generation AI’?
Terms like next-generation AI get thrown around a lot. But Gemini 2.5 Pro does feel different in a few ways:
Towards Smarter Agents: Its improved tool use and planning capabilities are foundational for building AI agents that can interact with other software (like triggering actions in your CRM via Latenode based on an email analysis).
Multimodal Potential: While my tests were text-focused, the underlying architecture is multimodal. The potential to feed it images, audio, or video and have it reason across different data types opens up incredible possibilities for business automation (think analyzing product photos, summarizing meetings transcriptions, processing documents and database).
Handling Complexity: The combination of reasoning, long context, and better instruction following means we can start tackling more complex, less structured automation challenges that were previously too brittle or unreliable. That’s a perfect fit for Latenode, because unlike the competition, it supports multi-branch scenarios, multiple triggers, even sub-scenarios.
Create unlimited integrations with branching, multiple triggers coming into one node, use low-code or write your own code with AI Copilot.
Business Use Cases: Where Gemini 2.5 Pro Fits It
Beyond the tech specs, how does this help businesses? I can see immediate applications:
Marketing: Hyper-personalizing outreach, analyzing competitor content at scale, drafting diverse ad copy variations.
Internal Ops: Summarizing long reports/meetings, extracting data from internal documents, routing inquiries intelligently.
Content Creation: Generating drafts, repurposing content across formats, checking for consistency and accuracy.
Education/Onboarding: Creating personalized learning paths, answering complex employee questions based on internal knowledge bases.
Dashboards & Reporting: Analyzing unstructured feedback (support tickets, reviews) to surface insights for dashboards.
2 Basic AI Automation Templates With Gemini Integration
To make it even easier, here are a couple of ready-made, simple template ideas you could build (or maybe we'll see their expanded versions in the Latenode library soon!). No coding or API connection required!
What it does: Let Gemini handle emails for you!
Who uses it: Marketing teams, product managers, nearly anyone who has an active email inbox.
How it helps: Saves time by drafting polite, relevant replies without human effort.
What it does: Integrate Gemini into your Slack to answer questions, explain things, or chat!
Who uses it: Educators, startup founders, support teams, writers, creators running community bots.
How it helps: Provides instant, intelligent replies to any of your questions right in your Slack chat.
Three Ways to Get Started With Gemini on Latenode
Feeling inspired or maybe a little overwhelmed? Here’s how you can dip your toes in, no matter your current level:
If you're already building in Latenode: You know the drill! Take Gemini API from AI Studio and connect it to Latenode via HTTP request. Meanwhile, we’re working on a direct, plug-and-play integration with Gemini 2.5 Pro on Latenode. You will not need API keys or account credentials – Latenode will have you covered. You’ll be able to find it in the Gemini AI Integration node right on Latenode. Swap it into existing workflows where you're using other LLMs (like ChatGPT or Claude).
If you're curious but new to AI automation: The best way to learn is by doing! Start with a simple, pre-built template concept. Try one of the AI automation tools and agents we listed here.
If you're just learning about AI and automation: Welcome! It's a great time to explore. Latenode is designed precisely for people like you – they let you connect different apps and automate tasks using a visual interface, no coding required. Think of it like digital Lego blocks for business processes. Start small: explore Why Latenode, and then go to Apps & Integrationsto see what you can build!
Final Thoughts: Excitement Tempered With Realism
Gemini 2.5 Pro is genuinely exciting. It demonstrates tangible progress in areas crucial for building more sophisticated and reliable real-world applications of AI in business automation. Its enhanced reasoning, planning, and ability to handle complex instructions make it a powerful new component for our Latenode toolkits.
Is it perfect? Of course not. All AI models have limitations, and responsible development and testing (AI safety) remain crucial. But based on my initial tests, it’s a significant step forward and definitely worth exploring for anyone serious about leveraging AI in their workflows. After all, with the Gemini 2.5 Pro model, Google model family officially outperforms OpenAI’s models!
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