Key takeaways

• Google's Gemini 2.5 Pro is a state-of-the-art, proprietary, Transformer-based AI model designed for advanced reasoning, coding, mathematics, and scientific tasks, emphasizing complex problem-solving through 'thinking' capabilities and nuanced context handling. It supports multimodal input (text+image-to-text) and has a context length of 1,048,576 tokens.
• The model demonstrates strong mathematical reasoning in algebra, geometry, number theory, and modular arithmetic, often excelling in systematic equation manipulation. It achieved 95.678% accuracy on the Grade School Math 8K dataset, indicating a strong ability in multi-step arithmetic problems and extracting numerical information from word problems.
• Key limitations include significant struggles with complex algorithmic code synthesis, complex combinatorial analysis, geometric problems requiring precise path optimization, and multi-variable probabilistic reasoning. It often shows subtle calculation errors or misinterprets conditional probabilities.
• The model's best performance was observed on the Grade School Math 8K dataset, where it achieved 95.678% accuracy. It also showed strong performance in various AIME 2025 sub-areas like algebraic relationships, geometric theorems, arithmetic progression, prime factorization, and recurrence relations, consistently arriving at exact answers for complex mathematical problems.
• Weaknesses were evident in AIME 2025 Part I and II for problems involving complex combinatorial analysis (e.g., grid coloring or counting arrangements with specific restrictions), and probabilistic reasoning in multi-variable geometric contexts, where it sometimes failed due to meticulous casework challenges or minor arithmetic errors.

Technical specifications

Context length

1M tokens

Max output

—

Architecture

Transformer

Modalities

text+image->text

Parameters

~175B

Open weights

No

Licence

Proprietary

Regions

USA

Vendor

Google

Provider model key

google/gemini-2.5-pro