Gemini Pro
Our best model for general performance across a wide range of tasks
Natively multimodal, with an updated long context window of up to two million tokens — the longest of any large-scale foundation model.
Demo
Longer context
1.5 Pro introduces a breakthrough context window of up to two million tokens — the longest context window of any large scale foundation model yet. It achieves near-perfect recall on long-context retrieval tasks across modalities, unlocking the ability to accurately process large-scale documents, thousands of lines of code, hours of audio, video, and more.
Pros on Pro
Developers have been putting 1.5 Pro to the test using Google AI Studio and Vertex AI.
Relentless innovation
Our research team is continually exploring new ideas at the frontier of AI, building innovative products that show consistent progress on a range of benchmarks. Our newest model is Gemini 1.5 Flash.
Capability |
Benchmark |
Description |
Gemini 1.0 Pro |
Gemini 1.0 Ultra |
Gemini 1.5 Pro (Feb 2024) |
Gemini 1.5 Flash |
Gemini 1.5 Pro (May 2024) |
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General MMLU Representation of questions in 57 subjects (incl. STEM, humanities, and others) |
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General |
MMLU |
Representation of questions in 57 subjects (incl. STEM, humanities, and others) |
Gemini 1.0 Pro 71.8% |
Gemini 1.0 Ultra 83.7% |
Gemini 1.5 Pro (Feb 2024) 81.9% |
Gemini 1.5 Flash 78.9% |
Gemini 1.5 Pro (May 2024) 85.9% |
Code Natural2Code Python code generation. Held out dataset HumanEval-like, not leaked on the web |
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Code |
Natural2Code |
Python code generation. Held out dataset HumanEval-like, not leaked on the web |
Gemini 1.0 Pro 69.6% |
Gemini 1.0 Ultra 74.9% |
Gemini 1.5 Pro (Feb 2024) 77.7% |
Gemini 1.5 Flash 77.2% |
Gemini 1.5 Pro (May 2024) 82.6% |
Math MATH Challenging math problems (incl. algebra, geometry, pre-calculus, and others) |
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Math |
MATH |
Challenging math problems (incl. algebra, geometry, pre-calculus, and others) |
Gemini 1.0 Pro 32.6% |
Gemini 1.0 Ultra 53.2% |
Gemini 1.5 Pro (Feb 2024) 58.5% |
Gemini 1.5 Flash 54.9% |
Gemini 1.5 Pro (May 2024) 67.7% |
Reasoning GPQA (main) Challenging dataset of questions written by domain experts in biology, physics, and chemistry |
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Reasoning |
GPQA (main) |
Challenging dataset of questions written by domain experts in biology, physics, and chemistry |
Gemini 1.0 Pro 27.9% |
Gemini 1.0 Ultra 35.7% |
Gemini 1.5 Pro (Feb 2024) 41.5% |
Gemini 1.5 Flash 39.5% |
Gemini 1.5 Pro (May 2024) 46.2% |
Reasoning Big-Bench Hard Diverse set of challenging tasks requiring multi-step reasoning |
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Big-Bench Hard |
Diverse set of challenging tasks requiring multi-step reasoning |
Gemini 1.0 Pro 75.0% |
Gemini 1.0 Ultra 83.6% |
Gemini 1.5 Pro (Feb 2024) 84.0% |
Gemini 1.5 Flash 85.5% |
Gemini 1.5 Pro (May 2024) 89.2% |
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Multilingual WMT23 Language translation |
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Multilingual |
WMT23 |
Language translation |
Gemini 1.0 Pro 71.7 |
Gemini 1.0 Ultra 74.4 |
Gemini 1.5 Pro (Feb 2024) 75.2 |
Gemini 1.5 Flash 74.1 |
Gemini 1.5 Pro (May 2024) 75.3 |
Image MMMU Multi-discipline college-level reasoning problems |
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Image |
MMMU |
Multi-discipline college-level reasoning problems |
Gemini 1.0 Pro 47.9% |
Gemini 1.0 Ultra 59.4% |
Gemini 1.5 Pro (Feb 2024) 58.5% |
Gemini 1.5 Flash 56.1% |
Gemini 1.5 Pro (May 2024) 62.2% |
Image MathVista Multi-discipline college-level reasoning problems |
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MathVista |
Mathematical reasoning in visual contexts |
Gemini 1.0 Pro 46.6% |
Gemini 1.0 Ultra 53.0% |
Gemini 1.5 Pro (Feb 2024) 54.7% |
Gemini 1.5 Flash 58.4% |
Gemini 1.5 Pro (May 2024) 63.9% |
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Audio FLEURS (55 languages) Automatic speech recognition (based on word error rate, lower is better) |
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Audio |
FLEURS (55 languages) |
Automatic speech recognition (based on word error rate, lower is better) |
Gemini 1.0 Pro 6.4% |
Gemini 1.0 Ultra 6.0% |
Gemini 1.5 Pro (Feb 2024) 6.6% |
Gemini 1.5 Flash 9.8% |
Gemini 1.5 Pro (May 2024) 6.5% |
Video EgoSchema Video question answering |
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Video |
EgoSchema |
Video question answering |
Gemini 1.0 Pro 55.7% |
Gemini 1.0 Ultra 61.5% |
Gemini 1.5 Pro (Feb 2024) 65.1% |
Gemini 1.5 Flash 65.7% |
Gemini 1.5 Pro (May 2024) 72.2% |
Try Gemini 1.5 Pro
Get started
Example prompts for the Gemini API in Google AI Studio.
Research Assistant
Understand the key attributes of a research paper’s methodology.
Plant care
How do I best care for this plant?
Which shape comes next?
Given a series of shapes, guess which comes next.
Game Character Brainstorming
Create a character design based on a provided context.
Cook Helper
Get recipe ideas based on an image of the ingredients you have on hand.
Barista Bot
Order common coffee drinks from this virtual barista.
Research
Technical reports
For developers
Build with Gemini
Integrate Gemini models into your applications with Google AI Studio and Google Cloud Vertex AI.