Gemini 2.0 Flash-Lite
Last Updated on: Sep 12, 2025
Gemini 2.0 Flash-Lite
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What is Gemini 2.0 Flash-Lite?
Gemini 2.0 Flash‑Lite is Google DeepMind’s most cost-efficient, low-latency variant of the Gemini 2.0 Flash model, now publicly available in preview. It delivers fast, multimodal reasoning across text, image, audio, and video inputs, supports native tool use, and processes up to a 1 million token context window—all while keeping latency and cost exceptionally low .
Who can use Gemini 2.0 Flash-Lite & how?
  • Enterprise Developers & API Users: Ideal for mission-critical workflows that require speed and scalability.
  • Compliance & Data Teams: Perform high-volume classification, summarization, and multimodal data routing efficiently.
  • AI & Agent Builders: Utilize controlled reasoning (“thinking budgets”) and built-in tool access (search, code execution).
  • Localization & Multimedia Developers: Rapidly process mixed inputs—text, images, audio, video—for translation and annotation.
  • Scale-Focused Enterprises: Use Flash-Lite for massive throughput use cases, leveraging 1M token context without high costs.

How to Use Gemini 2.0 Flash-Lite?
  • Enable Model in Your Stack: Access via Gemini API, Google AI Studio, or Vertex AI using the model ID `gemini-2.0-flash-lite`.
  • Submit Multimodal Inputs: Send batches of text, images, audio, or video up to the 1M token limit.
  • Adjust Thinking Budget: Control whether the model uses reasoning to balance cost, speed, and output quality.
  • Leverage Native Tools: Enable function calling, code execution, or search as needed within your tasks.
  • Optimize Production Usage: Monitor latency and throughput, apply caching or batching, and scale with reliable API support.
What's so unique or special about Gemini 2.0 Flash-Lite?
  • Most Budget-Friendly Flash: Offers full multimodal and tool-integrated features at the lowest price point in Gemini 2.0.
  • Unified 1M Token Context: Supports vast document, audio, and video inputs in a single context.
  • Developer-Controlled Reasoning: “Thinking budget” lets you choose when deep reasoning is applied.
  • Native Tool Integration: Supports structured outputs, function calling, and execution in-line.
  • Multimodal & Efficient: Handles text, image, audio, and video within one fast, low-cost model.
Things We Like
  • Best-in-class cost-performance for high-volume workflows
  • Supports multimodal input with native reasoning and tool use
  • Scalable up to a 1 million token context
  • Developer-friendly with thinking budget tuning and tool capabilities
  • Preview model, production-grade via Vertex AI and API
Things We Don't Like
  • Preview status—might change before full GA release
  • Some advanced tool features (e.g., image output) may still be limited
  • Requires developer integration—no standalone UI
Photos & Videos
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Pricing
Freemium

Free

$ 0.00

Limited features available on the free plan

API

$0.075/$0.30

Input: $0.075 & Output: $0.30 per 1M tokens
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FAQs

It’s the low-cost, low-latency variant of Gemini 2.0 Flash optimized for large-scale multimodal tasks.
Flash‑Lite handles up to 1 million tokens (across text, audio, video, image).
Yes—developers can enable or disable reasoning via a “thinking budget.”
Text, images, audio, and video are all supported.
At ~$0.019 per million tokens input, it’s significantly more economical than alternative models.

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