Gemini 1.5 Pro
Pioneering 2M token long-context multimodal model for enterprise document and video analysis.
Technical Specification Matrix
Architecture & Engineering Overview
Sparse Mixture-of-Experts (MoE) Transformer
Gemini 1.5 Pro broke context window barriers with its 2-million-token capacity and Sparse Mixture-of-Experts architecture. It processes an hour of video, eleven hours of audio, or over 700,000 words in a single query with near-perfect retrieval.
Empirical Academic Benchmarks
Gemini 1.5 Pro Benchmark Performance
Google DeepMind Gemini 1.5 Technical Report (May 2024).
Challenging competition-level high school and undergraduate mathematics problems evaluating step-by-step analytical proof capability.
Google-proof PhD-level multiple-choice questions in biology, physics, and chemistry designed by domain experts.
Expanded reasoning benchmark with 12,000+ challenging multi-step questions across 14 academic and professional subjects.
Human-verified subset of real-world GitHub issues evaluating autonomous agent capability to debug and resolve real open-source bugs.
Standard benchmark testing zero-shot Python function generation against functional unit test suites.
Verified Core Competencies
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