The artificial intelligence race has entered yet another arena, and with its latest gimmick, Google has made a very bold statement. As speed and accuracy define success in this age, AI models programmed to pause for “thinking” before answering would mean a shift in the paradigm. Google’s Gemini 2.5 Pro is not just another upgrade but a direct challenge to rising competitors like OpenAI, Anthropic, and the other names in the AI race.
On Tuesday, Google announced the introduction of Gemini 2.5, a new family of AI reasoning models designed to assist in problem-solving through “thinking” prior to responding. The launch represents a great advancement for AI development, as Google has incorporated reasoning capabilities in its next-generation models to make them more accurate and better at decision-making. Google’s reasoning capabilities at the core of its AI models redefine the achievements and capabilities of artificial intelligence.
Gemini 2.5 Pro Experimental
With the launch of Gemini 2.5 Pro Experimental, Google is empowering its AI to lead this new generation to greater heights. This experimental multimodal is an AI reasoning model and the most developed version to date. It has arrived at Google’s AI studio and will soon be available through the Gemini app for $20 a month to Gemini Advanced subscribers. Moreover, Google has pledged to incorporate all future AI models with advanced reasoning techniques.
AI Reasoning Models
Since OpenAI released the first AI reasoning model, O1, in September 2024, the race for AI reasoning models has gained serious momentum. Today, firms such as Anthropic, DeepSeek, Google, and xAI compete to deploy AI models that would reason, fact-check, and solve problems better, but through aided computational resources.
Reasoning-based AI shows remarkable improvements in coding, mathematics, and other complex areas. These models would also be considered fundamental building blocks for AI agents and truly autonomous systems that can perform tasks with little human input. However, greater computational requirements make these frameworks rather costly to operate.
Comparison of Gemini 2.5 with Other Models
Google has been trying AI reasoning models for some time, having released a so-called “thinking” version of Gemini around December 2023. Nonetheless, Gemini 2.5 is perhaps the closest actual attempt yet to rival OpenAI’s o-series models. Gemini 2.5 Pro, as Google claims, is better than any previous frontier AI model and several of its competition models on team benchmark tests. The model has been specifically scripted to carry out comprehensive tasks on alluring web app creation and agentic coding applications.
- In Code Editing Benchmark (Aider Polyglot), Gemini 2.5 Pro achieves a score of 68.6%, thereby outperforming models of OpenAI, Anthropic, and DeepSeek.
- In Software Development Abilities (SWE-bench Verified), Gemini 2.5 Pro gets 63.8%, which is above OpenAI’s o3-mini and DeepSeek’s R1, but lower than Anthropic’s Claude 3.7 Sonnet leading by 70.3%.
- In Multimodal Reasoning (Humanity’s Last Exam), Gemini 2.5 Pro’s score is an impressive 18.8%, surpassing many rival flagship models by answering thousands of crowdsourced questions across many disciplines.
Extended Context Window Feature
Gemini 2.5 Pro has the ability to input contexts to a long extent, which is one of its major features. The model’s context window is started at one million tokens, which enables it to process approximately 750,000 words in a session, which is more than the entire book series of The Lord of the Rings. Google has added that it will increase this capacity to 2 million tokens, thus propelling its capability of tackling articulate long-form content and complex queries even further.
Pricing and Availability
Though Google has now made the model available, it has not announced any API pricing for Gemini 2.5 Pro. The company will indicate in a few weeks when such information will be provided. With the evolving world of AI, it becomes a race for smarter, more effective, and more nuanced models. Certainly, it has taken some impressive steps in reasoning and extended context windows, but real testing is surely going to occur in the application.
