On Tuesday, Google unveiled Gemini 2.5, a groundbreaking addition to its family of AI reasoning models that introduces a new level of cognitive processing — pausing to “think” before delivering answers. This next-generation AI model is a component of Google's continuous effort to enhance artificial intelligence, especially in activities demanding sophisticated thinking and problem-solving.
The Gemini 2.5 family is spearheaded by the launch of Gemini 2.5 Pro Experimental, a multimodal reasoning AI model that Google claims is its most intelligent to date. Available starting Tuesday through Google AI Studio and the Gemini app for subscribers to the company's $20-a-month AI plan, Gemini Advanced, the model promises superior reasoning abilities across diverse applications.
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From now on, Google has committed to integrating reasoning capabilities into all its new AI models. This move aligns with a broader industry trend that began in September 2024 when OpenAI released its first AI reasoning model, o1. Since then, tech giants like Anthropic, DeepSeek, and Elon Musk's xAI have joined the race, each striving to develop models that leverage additional computing power to fact-check and reason through problems before presenting an answer.
Google claims that Gemini 2.5 Pro outperforms its previous frontier AI models, and in several benchmarks, even surpasses its leading competitors. Notably, the model scored an impressive 68.6% on the Aider Polyglot evaluation, which measures code editing skills. This places Gemini 2.5 Pro ahead of top AI models from OpenAI, Anthropic, and Chinese AI lab DeepSeek. However, the performance was more nuanced in other tests. On the SWE-bench Verified test, which evaluates broader software development abilities, Gemini 2.5 Pro scored 63.8%. While this was enough to outperform OpenAI’s o3-mini and DeepSeek’s R1, it fell short of Anthropic’s Claude 3.7 Sonnet, which scored 70.3%. On "Humanity's Last Exam," a rigorous multimodal test featuring thousands of crowdsourced questions spanning mathematics, humanities, and natural sciences, Google reported that Gemini 2.5 Pro achieved a score of 18.8%, outperforming most rival flagship models.
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Reasoning techniques have unlocked new potentials in AI, enabling models to excel in tasks like mathematics and coding, areas where precision and logical deduction are crucial. Many in the tech world view reasoning models as key components for future AI agents — autonomous systems capable of performing complex tasks with minimal human intervention. However, these advancements don’t come without cost. Reasoning models require greater computational resources, making them more expensive to operate. This could have implications for developers and businesses adopting these cutting-edge tools.
One of the standout features of Gemini 2.5 Pro is its massive 1 million token context window. In practical terms, this means the model can process roughly 750,000 words in a single go—longer than the entire "Lord of the Rings" book series. Google plans to expand this capability soon, doubling the input length to an astounding 2 million tokens. With such expansive processing power, Gemini 2.5 Pro stands out as an exceptional tool for creating visually compelling web apps and agile coding applications, according to Google.
As of now, Google hasn’t published API pricing for Gemini 2.5 Pro, promising more details in the coming weeks. What is clear, however, is that Gemini 2.5 Pro represents Google's most serious attempt yet at besting OpenAI's "o" series of models, reaffirming the company's ambition to lead the AI reasoning revolution.
It remains to be seen if Gemini 2.5 Pro will completely change the AI scene or merely pave the way for more intense competition. The struggle for dominance in AI is undoubtedly getting fiercer, and Google has just raised the ante.
