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Documentation Index

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Google’s Gemini models bring two distinct capabilities to your DeepMask workspace: Gemini 2.5 Flash delivers high-throughput, low-cost multimodal processing at scale, while Gemini 2.5 Pro applies a native “Thinking” architecture to tackle complex reasoning, coding, and research tasks. Both models share a massive context window and full multimodal support for text, images, video, and audio.

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About

Gemini 2.5 Flash is Google’s most efficient multimodal model, engineered for scale. It provides a massive 1-million-token context window at a fraction of the cost of Pro-tier models, and is specifically optimized for high-volume tasks such as real-time video summarization, large-scale document OCR, and high-speed data extraction. It is the most cost-effective way to process native audio and video inputs via API.
Gemini 2.5 Flash is served via Google’s infrastructure. Your data is processed under DeepMask’s EU data-handling agreements.

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Key Capabilities

Long-Context Retrieval

Maintains near-perfect accuracy (99%+) when finding specific data points across a million tokens.

Native Audio/Video Understanding

Processes video at 1 frame per second and audio at 16 kHz for high-fidelity temporal reasoning.

Context Caching

Store massive datasets — such as a 100-video training course — for rapid, cost-efficient recurring queries.

Real-Time Multimodal

Supports real-time, low-latency multimodal interactions for voice assistants and live monitoring pipelines.

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Use Cases

  • Real-time customer support — Power conversational bots that can understand user-uploaded screenshots or voice notes instantly.
  • Large-scale document synthesis — Summarize hundreds of PDFs or hour-long meeting recordings in a single pass.
  • Multimodal agents — Build assistants that can navigate your data across Gmail, Photos, and Workspace to perform complex cross-app tasks.
  • High-speed data extraction — Process and reformat massive structured or semi-structured datasets with high throughput.
Use Gemini 2.5 Flash when you need to process large volumes of multimodal content at low cost. For complex reasoning or tasks requiring step-by-step logic, switch to Gemini 2.5 Pro.

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Specifications

SpecificationValue
Model ProviderGoogle
Main Use CasesData Extraction, Real-time Summarization, Large Codebase Search
Reasoning EffortAdaptive (Balanced)
GPQA Diamond68.3%
Max Context1.04M Tokens
Latency (TTFT)0.15s
Throughput185 Tokens/sec