High Reasoning

Gemini 1.5 Pro

Gemini 1.5 Pro is Google's cutting-edge multimodal AI model, boasting a massive 1 million token context window for processing vast amounts of text, images, audio, and video in one go. Unlock superior performance in content creation, data analysis, and intelligent automation, rivaling top models with unmatched efficiency and versatility.

2M Context

High Intelligence

May '24 Knowledge

Available for Chat, Vision, and File Uploads.

Performance Benchmarks

MMLU

85.9%

HumanEval

89%

MATH

86.5%

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Why use Gemini 1.5 Pro?

2 Million Token Context Window

Processes vast amounts of information like 1 hour of video, 11 hours of audio, or 700,000 words with near-perfect recall up to 10M tokens

Code Execution

Generates and runs Python code iteratively to solve math, data reasoning, and complex problems accurately

Multimodal Understanding

Analyzes, classifies, and summarizes large content across text, images, video, and audio in a single prompt

Capability Examples

Long-Context Document Analysis

Analyze the key events, conversations, and technical details from the 402-page Apollo 11 mission transcripts provided in this prompt.

Key events: Launch on July 16, 1969; lunar orbit insertion July 19; moon landing July 20 at 20:17 UTC (Tranquility Base). Major conversations include Armstrong's "one small step" quote and multispeaker technical checks on lunar module systems. Technical details highlight Eagle's descent engine performance and sample collection protocols. The crew noted solar wind experiments and contingency planning for abort scenarios.

Multimodal Video Reasoning

Watch this 44-minute silent Buster Keaton film clip and summarize the plot points, character actions, and subtle comedic details.

Plot: A man builds a house to impress a woman, but it collapses dramatically. Key actions: Hero dodges falling beams, chases runaway house on train tracks. Subtle details: Keaton's deadpan expression during near-misses with dynamite and floods adds slapstick humor; ending reunion after house rebuild.

Codebase Analysis

Review this entire 30,000-line Python codebase for a web app and suggest 3 key improvements for security and efficiency.

1. Security: Implement JWT token validation in auth middleware to prevent session hijacking (lines 1500-1600). 2. Efficiency: Cache database queries in Redis for user endpoints, reducing load time by 40% (lines 5000+). 3. Refactor duplicate validation logic into shared utils module for maintainability (multiple files).

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