Gemini 1.5 Pro

Overview

Gemini 1.5 Pro represents a major architectural advancement in large language models, introducing Google’s Mixture-of-Experts (MoE) approach that enables unprecedented context lengths without sacrificing quality. With a 2 million token context window, it can process entire codebases, full-length books, or hours of video content.

Key Features

Massive Context Window

The 2M token context window enables use cases previously impossible with traditional LLMs:

• Analyze entire repositories in one prompt
• Process multi-hour meeting recordings
• Review complete legal document sets
• Study full research paper collections

True Multimodal Understanding

Gemini 1.5 Pro natively understands text, images, audio, and video, enabling seamless cross-modal reasoning and analysis.

High Recall Across Context

The model maintains strong recall even at extreme context lengths, successfully retrieving information embedded anywhere in the input with “needle in a haystack” accuracy above 99%.

Benchmark Performance

Gemini 1.5 Pro achieves state-of-the-art results across multiple benchmarks:

• MMLU: 85.9% (5-shot)
• HumanEval: 84.1% code generation
• MATH: 67.7% mathematical reasoning
• Long-context retrieval: 99.7% accuracy at 1M tokens

Use Cases

• Code Analysis: Review entire codebases for bugs, patterns, or architecture issues
• Document Intelligence: Process and analyze large document collections
• Video Understanding: Extract insights from long-form video content
• Research: Analyze multiple papers and synthesize findings
• Meeting Analysis: Transcribe and summarize extended recordings

Pricing Tiers

Gemini 1.5 Pro offers tiered pricing based on context length:

• Up to 128K tokens: $1.25/M input, $5.00/M output
• Over 128K tokens: $2.50/M input, $10.00/M output

Best Practices

• Use the full context window for complex analysis tasks
• Combine with function calling for agentic workflows
• Leverage multimodal inputs for richer understanding
• Consider Gemini 1.5 Flash for simpler, latency-sensitive tasks