Generative AI continues to grow rapidly. New large language models (LLMs) are being focused on by leading vendors.

Google is among these leading LLM vendors. Its Gemini model family is the successor to the Pathways Language Model (PaLM). Google debuted Gemini with the 1.0 release in December 2023, followed by Gemini 1.5 Pro in February 2024. Gemini 2.0, announced in December 2024, became available in February 2025. On March 25, 2025, Google announced Gemini 2.5 Pro as an experimental release as part of the upgrade.

The Google Gemini 2.5 Pro model has entered the LLM space as the market shifts to reasoning models like DeepSeek R1, OpenAI's o3, and hybrid reasoning models including Anthropic's Cloud Sonnet 3.7.

What is Gemini 2.5 Pro?

Gemini 2.5 Pro is an LLM developed by Google DeepMind. When it was launched in March 2025, it was Google's most advanced AI model, surpassing the capabilities and performance of previous versions of Gemini.

Like Gemini 2.0, Gemini 2.5 Pro is a multimodal LLM, meaning it is not just text-based. It processes and analyzes text, images, audio, and video. This new model also has powerful coding capabilities that rival previous Gemini models.

Advanced models like the Gemini 2.5 Pro spend more time “thinking” through the steps required to execute a prompt, which helps provide more nuanced output. This allows for more in-depth and accurate responses.

Google is using advanced techniques, including reinforcement learning and improved post-training, to improve the performance of the Gemini 2.5 Pro compared to previous models. The model was launched with a context window of one million tokens, with plans to expand to 2 million tokens.

What’s new in the Gemini 2.5 Pro?

Let’s take a look at the new capabilities and improved functionality of the Gemini 2.5 Pro:

Improved Reasoning. The main feature of the Gemini 2.5 Pro is its improved reasoning ability. According to Google, Gemini 2.5 Pro outperforms OpenAI o3, Anthropic Cloud 3.7 Sonnet, and DeepSeek R1 in human-like reasoning and cognitive benchmarks.

Advanced coding skills. According to Google, Gemini 2.5 Pro is ahead of its predecessors in terms of coding skills. Like previous versions, this model generates and debugs code and creates attractive applications. The model supports code generation and execution, and enables testing and modifying solutions. Gemini 2.5 Pro scored 63.8% on SWE-Bench Verified, an industry standard for agent code evaluations, which has a custom agent setup, which is higher than OpenAI GPT-4.5, but slightly behind Claude 3.7 Sonnet.

Math and science skills. Google claims that the new version will improve math and science skills. On the AIME 2025 Math benchmark, Gemini 2.5 Pro scored 86.7%. And on the GPQA Diamond Science benchmark, it scored 84%. Both scores beat other platforms.

Native Multimodality. Gemini 2.5 Pro retains native multimodal capabilities, capable of understanding and working with text, audio, images, video, and entire code collections.

Live Processing. Despite the add-on capabilities, the model maintains reasonable latency, making it ideal for live applications and interactive use cases.

How does Gemini 2.5 Pro improve Google usability?

The Gemini 2.5 Pro model improves Google’s services in several ways:

Competitive leadership

Gemini has leading competitors globally in the highly competitive LLM market – Meta’s Llama family, OpenAI’s GPT-4O, O3, Anthropic’s Claude, XAI’s Grok, and China’s DeepSeek – all vying for market share. Immediately after its release, Gemini 2.5 Pro rose to the top of the LLM Arena leaderboard for AI benchmarking, further cementing Google’s position as a leading LLM developer.

Better results across Google apps

Gemini 2.5 Pro was not integrated across Google’s product suite, including Search and Google Workspace apps. But the integration now promises to improve multiple services. Google Search can now provide more nuanced and accurate responses to complex queries. In Google Docs and other workspace applications, the model's improved capabilities enable more complex document analysis and content creation.

Developer Focus

The model's advanced code execution and generation capabilities enhance Google's capabilities in developer tools and services, improving function calling and workflow automation across Google's cloud services.

Uses of Gemini 2.5 Pro

Gemini 2.5 Pro supports a variety of tasks:

Questions and Answers. Gemini is a source for basic question-and-answer knowledge interactions based on Google's data.

Multimodal content summarization. As a multimodal, Gemini 2.5 Pro reviews large amounts of text, audio, or video content.

Multimodal Q&A. The model combines information from text, images, audio, and video to answer questions spanning multiple modalities.

Text content generation. Like its predecessors, Gemini 2.5 Pro handles text generation.

Complex problem solving. With advanced reasoning capabilities, Gemini 2.5 Pro handles tasks that require logical reasoning, such as math, science, and structural analysis.

Deep research. The model's expanded context window and reasoning capabilities make it ideal for analyzing long documents, synthesizing information from multiple sources, and conducting in-depth research.

Advanced coding tasks. Gemini 2.5 Pro supports application development tasks, creating and debugging code.

On which platforms is Gemini 2.5 Pro available?

• Google AI Studio
• Gemini App
• Vertex AI
• Gemini API