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Large Language Models

Gemini 1.5 Pro Review: 1M Token Context Tested in 2026

Gemini 1.5 Pro introduces a 1 million token context window — enough to process an entire codebase or 11 hours of video in one pass.

By PowerAI · 8 min read · 893 views · March 17, 2026
8.9
Overall Score
★★★★☆
Google DeepMind's Gemini 1.5 Pro, released in February 2024, is built on a Mixture of Experts (MoE) architecture and introduces the largest context window of any commercially available model. **Context Window** The headline feature is the 1 million token context window (with a 2 million token experimental version). This allows processing of hour-long videos, entire software repositories, or thousands of documents simultaneously. **Multimodal** Gemini 1.5 Pro natively handles text, images, video, audio, and code. Video understanding in particular is a differentiator — it can answer detailed questions about specific moments in long videos. **Performance** It matches Gemini 1.0 Ultra on most benchmarks despite being more efficient. On MMLU it scores 81.9%. Coding performance is strong but slightly behind Claude 3.5 Sonnet. **Google Ecosystem Integration** Deep integration with Google Workspace, Search, and Cloud makes it compelling for enterprise users already in the Google ecosystem. **Pricing** Available via Google AI Studio and Vertex AI. Pricing starts at $3.50 per million input tokens for prompts under 128K tokens. **Verdict** For tasks requiring massive context — video analysis, large codebase review, or document-heavy workflows — Gemini 1.5 Pro has no real competitor.

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