- Developers & Engineers: Analyze large codebases, run data pipelines, build multimodal apps with long-context logic.
- Researchers & Analysts: Summarize big reports, process hours of video/audio, extract insights from large documents.
- Enterprise App Builders: Integrate with Vertex AI and Gemini API for scalable, multimodal intelligence.
- Content & Media Teams: Generate summaries, transcriptions, translations, and visuals at scale.
- AI Students & Enthusiasts: Experiment with long-context reasoning, multimodal inputs, and in-context learning without full model size.
How to Use Gemini 1.5 Pro?
- Access the Model: Available in private preview via Google AI Studio and Vertex AI under the ID `gemini-1.5-pro`.
- Submit Multimodal Inputs: Upload text, code, images, audio, or video—up to 1 million tokens.
- Leverage Long Context: Analyze large files like PDFs, code repos, or hour-long media content in one prompt.
- Enable In-Context Learning: Teach the model new tasks mid-session via example inputs—no tuning required.
- Use Enterprise API Features: Supports grounding (Google Search), JSON mode, function calling, caching, and adjustable safety.
- 1 Million Token Context: Processes up to 700K words, codebases, videos, or datasets in one prompt.
- Mixture-of-Experts (MoE): Intelligent routing boosts efficiency and performance relative to dense models.
- Robust Multimodality: Handles text, image, audio, video, and code in a unified model.
- In-Context Learning: Adapts to new tasks via prompt examples (e.g., low-resource translation) without retraining.
- Leading Benchmark Results: Outperforms Gemini 1.0 Ultra on 87% of benchmark tasks and shows strong downstream gains.
- Support for massive inputs—text, code, audio, video—within 1 M tokens
- Balanced efficiency via MoE architecture
- Strong performance across reasoning, multimodal, and coding tasks
- In-context learning enables flexible task adaptation
- Enterprise-ready with grounding, function-calling, and safety controls
- Still in preview, not yet generally available
- Performance may dip beyond ~200K tokens—preview builds may lag
- Depth over speed—longest-context use cases may incur latency
Free
$ 0.00
API
Custom
- Input Price: 1) $1.25, prompts <= 128k tokens 2) $2.5, prompts > 128k tokens
- Output Price: 1) $5, prompts <= 128k tokens 2) $10, prompts > 128k tokens
- Context Caching Price: 1) $0.3125, prompts <= 128k tokens 2) $0.625, prompts > 128k tokens
- Context caching storage: $4.50 per hour
- Tuning Price: Not available
- Grounding with Google search: $35 / 1K grounding requests
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Google AI Studio is a web-based development environment that allows users to explore, prototype, and build applications using Google's cutting-edge generative AI models, such as Gemini. It provides a comprehensive set of tools for interacting with AI through chat prompts, generating various media types, and fine-tuning model behaviors for specific use cases.
Editorial Note
This page was researched and written by the ATB Editorial Team. Our team researches each AI tool by reviewing its official website, testing features, exploring real use cases, and considering user feedback. Every page is fact-checked and regularly updated to ensure the information stays accurate, neutral, and useful for our readers.
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