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Google previews Gemini 1.5 Pro with a context window of up to 1 million tokens

Gemini 1.5 Pro at a glance

Gemini 1.5 Pro used a mixture-of-experts design, performed close to Gemini 1.0 Ultra, and offered a 1M-token context in private preview, enough for about an hour of video or 700,000 words.

What changed with Gemini 1.5 Pro

Google announced Gemini 1.5 on February 15, 2024, starting with Gemini 1.5 Pro. It used a mixture-of-experts architecture, and Google said it performed at a level similar to Gemini 1.0 Ultra while using less compute.

The standard context window was 128,000 tokens, but a limited group of developers and enterprise customers could try up to 1 million tokens in private preview through Google AI Studio and Vertex AI. Google said that was enough for about 1 hour of video, 11 hours of audio, codebases of more than 30,000 lines, or over 700,000 words, and that its research had tested up to 10 million tokens.

Gemini 1.5 Pro in numbers

Values are copied from the linked source on the date shown. They are not IA Compa measurements.

Context windowas of · Source for Context window: blog.google (opens in a new tab)
1M tokens (private preview; 128K standard)

How it compares

Other models in the same category that we have covered, using each model's latest recorded value. (Models)

Context window (tokens)higher is better

Where to compare Gemini 1.5 Pro

Independent leaderboards and official resources for comparing this model yourself. Rankings change often; each site shows its own current data.

Why Gemini 1.5 Pro matters for businesses

For businesses, this changed what could be sent to a model in one request. Whole document sets, long call recordings or a full codebase could be analyzed together, which reduced the need for complex retrieval setups in some projects, at the cost of slower and more expensive requests.

Sources for this story

  1. Official

Last verified: . IA Compa summarizes public announcements for business readers. We are not affiliated with the companies mentioned. Always confirm details, pricing, and availability with the official source.

  • #llm
  • #google
  • #gemini
  • #long-context
  • #mixture-of-experts

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