Google Strikes Again? Gemini 2.5 Pro Preview Released — Claims to Crush the Competition in Coding!

The AI world is heating up again! Google has quietly released the latest preview of Gemini 2.5 Pro — and it’s not just faster. It brings major upgrades in creativity, coding, and reasoning, directly challenging OpenAI and DeepSeek. The AI arms race is clearly back on.

The AI Pace Is Relentless — And Now, It’s Google’s Turn Again

The pace of innovation in AI is dizzying. You might have just started exploring last month’s new model, and already another major release hits the scene. This time, the spotlight is on Google.

Without warning, Google has dropped the preview version of Gemini 2.5 Pro — a move that shook up the AI community. According to Google, this release is not just about speed: it represents a major leap forward in creativity, programming, and reasoning — and is aimed squarely at the top competitors in the space.

This Isn’t Just a Minor Update — Gemini Just Leveled Up

You’re not mistaken — this isn’t a small patch or tweak. Remember when Gemini 2.5 Pro first debuted in March, and then saw a major upgrade during the I/O Developer Conference in May? At the time, DeepMind CEO Demis Hassabis proudly declared that it was their “most powerful coding model ever.”

And yet, just weeks later, we now have a new version — codenamed “Preview 06-05” — and it’s reportedly even more powerful than the I/O release. Google clearly has one goal: to build a model capable of meeting the most demanding enterprise-grade applications.

Let the Numbers Talk: A New Leader in the Benchmarks?

Talk is cheap — so let’s look at the data. Gemini 2.5 Pro’s improvements aren’t just marketing hype. In several critical benchmark tests, it has delivered outstanding results.

According to Google’s published performance charts, here’s what stands out:

• Coding (Aider Polyglot): Gemini 2.5 Pro scored 82.2%, outperforming OpenAI o3 (79.6%), Claude Opus 4 (72.0%), and DeepSeek R1 (71.6%). That suggests real gains in code writing and comprehension.
• Science (GPQA): In this science-heavy benchmark, which requires deep domain knowledge, Gemini scored an impressive 86.4%, beating OpenAI o3 (83.3%) and others.
• Reasoning & Knowledge (Humanity’s Last Exam): In this notoriously difficult test, Gemini 2.5 Pro achieved 21.6%, slightly ahead of OpenAI o3’s 20.3%.

On top of that, it jumped up by 24 points in LMArena (a model popularity benchmark) and 35 points in WebDevArena (focused on web development capabilities), pushing it into top-tier ranking territory. The takeaway: Google is entering this fight with confidence.

It’s Not Just Smarter — It Feels More Human

A great AI model needs more than computational strength. The way it responds — tone, structure, and clarity — matters too. Let’s be honest: talking to a robotic model can be a frustrating experience.

Google’s blog mentions that they improved the “style” and “structure” of Gemini 2.5 Pro’s responses based on user feedback from earlier versions. The result? More creative, better-formatted outputs. For business users creating reports, marketing copy, or structured content, that’s a huge plus.

Additionally, features like “Deep Think” allow Gemini to internally consider multiple possibilities before answering complex questions — leading to deeper, more comprehensive responses.

So, What’s It Going to Cost?

Now the big question: how much does this powerful model cost to use?

Google has released its pricing structure, giving businesses and developers clear expectations:

• Input cost: $1.25 USD per 1 million tokens (excluding input caching)
• Output cost: $10 USD per 1 million tokens

If you want to try it out, Gemini 2.5 Pro is now available via Google AI Studio and Vertex AI.

AI Battlelines Are Redrawn — What Do Developers Think?

Let’s be honest: recently, the spotlight has been on OpenAI’s GPT lineup and DeepSeek’s reasoning models. With this release, Google is clearly reclaiming center stage and reminding the world: “Don’t count us out.”

Within hours of the preview going live, developer communities around the world lit up with reactions. Many immediately began testing, and early feedback has been mostly positive — particularly on improved speed, which aligns with Google’s claims. As for whether it truly “crushes” the competition as the data suggests — the verdict is still out as more devs run their own tests.

One thing’s clear: Google has reignited the AI arms race with this move. And for end users like us, that’s a win. The fiercer the competition, the faster the progress — and the stronger the AI tools we get. This AI war? It’s far from over.