Watch Out OpenAI, Gemini 2.5 is Gaining on You

Google is one of the key players running in the LLM race. They have now passed the baton to Gemini 2.5, their most intelligent model to date. Let’s see if it can shake the AI industry or not.

Google’s Gemini 2.5 is their most Intelligent AI model

Gemini 2.5 is a “thinking model” that can reason through its thoughts before responding. This is similar to the o-series reasoning models by OpenAI.

​Reasoning AI models differ from traditional AI models by not only recognizing patterns in data but also applying logical inference and contextual understanding to solve multi-step problems. This way, it can mimic humanlike decision-making. ​

While Gemini 2.0 Flash Thinking is Google’s first reasoning model, Gemini 2.5 Pro has taken it to a whole new level.

With this release, it has gained the top spot in the LMArena Leaderboard, beating Grok 3 and GPT-4.5.

1) It is a Multimodal Marvel

Gemini 2.5 is natively multimodal, meaning it can understand text, images, audio, and video and process information from various input types seamlessly.

This capability is crucial because it enables AI to interpret information more holistically, mirroring the way humans perceive the world through various senses.

2) Million Tokens Window

Gemini 2.5 has a massive context window of 1 million tokens, allowing it to handle extensive data inputs. It can easily process large documents, lengthy conversations, or complex datasets. ​In AI models, the context window refers to the amount of information the model can process at once. The output size is 64,000 tokens.

They might expand to 2 million tokens very soon.

3) Coding Like a Pro

Gemini 2.5 has taken coding assistance to a whole new level. It excels at creating visually compelling web apps and agentic code applications. On the SWE-Bench, it scored a remarkable 63.8%.

It leads in math and science benchmarks like GPQA and AIME 2025. It gained a marginal win over OpenAI’s o3-mini.

Also, it scored a state-of-the-art 18.8% on Humanity’s Last Exam, a dataset designed to capture the human frontier of knowledge and reasoning.

Here is a Dinosaur video game made by this AI model with no HTML used:

Developers can get access to Gemini 2.5 Pro in Google AI Studio, while Advanced users can select it from the model dropdown.

Some users are also pointing out the fact that even with such major improvements, Google is not gaining a lot of traction.

Here is a simple comparison for one of the most complicated prompts to process:

You can see that Gemini did a better job than GPT. In the LiveCodeBench v5 code generation benchmark, Gemini 2.5 Pro achieved a score of 70.4%, positioning it behind o3-mini at 74.1% and Grok 3 Beta at 70.6%. ​

Another key feature is ​the tool use feature. This enables it to interact with external functions, produce structured outputs like JSON, execute code, and perform searches. This capability allows the model to tackle complex, multi-step tasks, interface with APIs, and format responses tailored to specific downstream systems. ​

Takeaways

Google’s Gemini 2.5 is not just an incremental update; it’s a monumental leap for the tech giant in this space. While it is still not close to the market leader (OpenAI’s GPT-4.5), Google is catching up.