- Developers & Engineers: Integrate fast and cost-efficient multimodal AI into applications requiring high throughput and long-context understanding.
- Data & Document Teams: Rapidly analyze, classify, and summarize large datasets, documents, and visual content, including extracting information from PDFs and images.
- Customer Support & Chatbot Builders: Power real-time conversational agents, interactive content generation, and FAQ systems due to its low latency.
- Cost-Sensitive Projects: Ideal for large-scale deployments and applications where budget efficiency for both input and output tokens is a priority.
- Multimedia Content Processors: Transcribe, summarize, and extract information from long audio and video files efficiently.
How to Use Gemini 1.5 Flash?
- Access the Model: Available via Google AI Studio (free experimental access) and the Gemini API, also accessible through Google Cloud's Vertex AI Studio and CLI.
- Provide Multimodal Inputs: Submit prompts that include text, images, audio, video, or PDF files.
- Generate Text or Code Outputs: The model processes these mixed inputs swiftly to provide relevant text-based responses or generated code.
- Leverage Code Execution: Enable the code execution feature to allow the model to generate and run Python code iteratively for problem-solving.
- Optimize Usage: Utilize its long context window for large data processing; consider context caching in the API to reduce costs for repeated token usage.
- Optimized for Speed & Efficiency: Designed for rapid inference, offering significantly faster output speeds and higher throughput compared to other models, making it a leader in real-time applications.
- Remarkable 1 Million Token Context Window: Can process vast amounts of information—equivalent to hours of video, hundreds of pages of documents, or entire codebases—within a single prompt, offering unparalleled long-context understanding.
- Native Multimodality: Seamlessly handles and reasons across various data types (text, images, audio, video, PDFs) in one unified model, simplifying complex multimodal workflows.
- Exceptional Cost-Effectiveness: Offers highly competitive pricing for both input and output tokens, providing significant value for large-scale deployments and cost-sensitive projects.
- Built-in Code Execution: Features the ability to generate and execute Python code within a secure sandbox, enhancing its capabilities for complex problem-solving.
- Rapid, sub-second output for most prompts
- Handles various input formats seamlessly
- Supports very long context usage
- Available free in Gemini and via API
- Flash‑8B variant improves efficiency and cost
- Free-tier pruning: deeper features like code execution require Pro
- Flash-8B is slower than full Flash in edge cases
Free
$ 0.00
API
Custom
- Input Price: 1) $0.075, prompts <= 128k tokens 2) $0.15, prompts > 128k tokens
- Output Price: 1) $0.30, prompts <= 128k tokens 2) $0.60, prompts > 128k tokens
- Context Caching Price: 1) $0.01875, prompts <= 128k tokens 2) $0.0375, prompts > 128k tokens
- Context caching storage: $1.00 per hour
- Tuning Price: Token prices are the same for tuned models. Tuning service is free of charge.
- Grounding with Google search: $35 / 1K grounding requests
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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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