Gemini 2.5 Pro, Google's newest flagship model, is now available in GPTunneL. This model represents a significant leap forward for the Gemini lineup, offering improved reasoning and advanced coding capabilities.
What makes Gemini 2.5 Pro interesting?
Google calls it a "thinking model" — a model capable of reasoning before giving an answer. It can break complex tasks into steps, analyze information, and draw conclusions, which improves the accuracy and relevance of its responses. This is especially noticeable in complex logical tasks, mathematics, and code generation.
The model retains the strengths of previous Gemini versions:
- Native multimodality (understanding text, images, code, and files simultaneously)
- A very large context window — up to 1 million tokens (with plans to expand to 2 million). In practice, this means you can feed the model dozens of books and still get meaningful answers.
Results and Performance
According to the official Google DeepMind blog, Gemini 2.5 Pro shows outstanding results across various benchmarks:
- Humanity's Last Exam (without tools): 18.8% — the highest result among all models, highlighting the model's ability for complex reasoning.
Source: Gemini 2.5 Pro announcement on the Google DeepMind blog
- GPQA Diamond (scientific questions): 84.0% (single attempt, pass@1), outperforming GPT-4.5 and Claude 3.7 Sonnet.
- AIME 2025 (mathematics): 86.7% (single attempt, pass@1), demonstrating a high level of mathematical skill.
- MMMU (multimodal visual reasoning): 81.7% (single attempt, pass@1), highlighting the model's abilities in processing multimodal data.
Source: Gemini 2.5 Pro announcement on the Google DeepMind blog
- MRCR (long context): 94.5% at 128k tokens and 83.1% at 1 million tokens, demonstrating the model's ability to work with large volumes of information.
Who can benefit from Gemini 2.5 Pro, and how?
- Developers: for building complex applications, analyzing and refactoring large codebases, and agentic programming.
- Analysts and researchers: for deep analysis of large datasets (texts, documents, media files) and extracting insights.
- Businesses: for building advanced chatbots, decision-support systems, and analyzing complex contracts or reports.
- Content creators: for working with very long texts, scripts, and analyzing code or visual materials.
Explore the possibilities of advanced reasoning — try Gemini 2.5 Pro in GPTunneL