Context
1M
Input
$3.50
Key Specifications
🏆
Arena Rank
#4
📐
Context Window
1M
📥
Input Price
per 1M tokens
$3.50
📤
Output Price
per 1M tokens
$10.50
🧠
Parameters
Undisclosed
🔒
Open Source
No
Best For
Long documentsmultimodal analysiscoding
About Gemini 1.5 Pro
Gemini 1.5 Pro is Google DeepMind's flagship multimodal model featuring an industry-leading 1 million token context window, capable of processing entire codebases, books, or hours of video in a single prompt. It demonstrates exceptional performance on long-context reasoning tasks, multimodal understanding across text, images, audio, and video, and complex coding challenges. The massive context window opens entirely new use cases that were previously impossible with shorter-context models.
Built byGoogle DeepMind↗
Pricing per 1M tokens
Input Tokens
$3.50
Output Tokens
$10.50
Compare Gemini 1.5 Pro
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Frequently Asked Questions
What is Gemini 1.5 Pro?▾
Gemini 1.5 Pro is Google DeepMind's flagship multimodal model featuring an industry-leading 1 million token context window, capable of processing entire codebases, books, or hours of video in a single prompt. It demonstrates exceptional performance on long-context reasoning tasks, multimodal understanding across text, images, audio, and video, and complex coding challenges. The massive context window opens entirely new use cases that were previously impossible with shorter-context models.
How much does Gemini 1.5 Pro cost?▾
Gemini 1.5 Pro costs $3.50 per 1 million input tokens and $10.50 per 1 million output tokens. Pricing is based on token usage, making it cost-effective for both small and large-scale applications.
What is Gemini 1.5 Pro's context window?▾
Gemini 1.5 Pro has a context window of 1M tokens. This determines how much text the model can process in a single request — larger context windows allow the model to handle longer documents, maintain more conversation history, and reason over bigger codebases.
Is Gemini 1.5 Pro open source?▾
No, Gemini 1.5 Pro is a proprietary model available through Google DeepMind's API. Proprietary models are typically accessible via API endpoints and offer managed infrastructure, support, and regular updates from the provider.
What is Gemini 1.5 Pro best for?▾
Gemini 1.5 Pro is best suited for: Long documents, multimodal analysis, coding. These use cases leverage the model's specific strengths in terms of capability, speed, and cost-effectiveness within Google DeepMind's model lineup.