Gemini 2.0 Flash
Last Updated on: Sep 12, 2025
Gemini 2.0 Flash
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What is Gemini 2.0 Flash?
Gemini 2.0 Flash is Google DeepMind’s next-gen workhorse model designed for real-time, multimodal reasoning. It delivers twice the speed of the previous Pro-tier model with support for text, image, video, and audio inputs. Flash also outputs native images and steerable text-to-speech audio, and can call tools such as search, code execution, and third-party functions—all within a massive 1 million token context window.
Who can use Gemini 2.0 Flash & how?
  • Enterprise Developers & API Users: Build high-throughput chatbots, media apps, and agent systems with live input support.
  • Data & Compliance Teams: Use multimodal document analysis, classification, summarization, and routing at scale.
  • App & Agent Builders: Combine native tool use with reasoning for dynamic assistant workflows.
  • Audio-Visual Content Creators: Generate text, images, and TTS audio all-in-one model.
  • Everyday Users via Gemini App: Enjoy fast, insight-driven assistance for learning, brainstorming, or writing.

How to Use Gemini 2.0 Flash?
  • Access & Deployment: Available via Gemini API in Google AI Studio, Vertex AI, and within Gemini web/mobile app.
  • Submit Multimodal Inputs: Provide text, image, video, or audio prompts; receive text outputs (with TTS and images where enabled).
  • Invoke Tools Natively: Use built-in capabilities like Google Search, code execution, and custom functions in one pipeline.
  • Engage Reasoning Mode: Enable “Flash Thinking Experimental” for step-by-step chain-of-thought reasoning on complex tasks.
  • Scale & Optimize: Handle high volume with low latency and a 1 million token window; optimize with batching, caching, or choosing Flash-Lite for cost efficiency.
What's so unique or special about Gemini 2.0 Flash?
  • Top-tier Speed + Scale: Twice as fast as Pro, 1 million token window—ideal for real-time and large-context tasks.
  • Multimodal In/Out: Processes and outputs across all media types—text, image, video, audio, TTS and native image generation.
  • Native Tool Execution: Integrates search, code execution, and custom functions for agentic mission.
  • Reasoning Made Visible: Flash Thinking mode reveals step-by-step thought process on complex problems.
  • Wide Availability: Rolling out to all users and developers through app and API within months of graduation.
Things We Like
  • Ultra-fast and scalable with a 1 M token context
  • Rich multimodal input/output toolkit
  • Built-in tool use for dynamic agent behavior
  • Reasoning mode improves transparency and trust
  • Broad availability across app and developer platforms
Things We Don't Like
  • Multimodal/agent features still stabilizing post-release
  • Translation quality showed early regression in some languages
Photos & Videos
Screenshot 1
Pricing
Freemium

Free

$ 0.00

Limited features available

API

Free

  • Input price: 1) $0.10 (text / image / video) 2) $0.70 (audio)
  • Output price: $0.40
  • Context caching price: 1) $0.025 / 1,000,000 tokens (text/image/video)
2) $0.175 / 1,000,000 tokens (audio)
  • Context caching (storage): $1.00 / 1,000,000 tokens per hour
  • Image generation pricing: $0.039 per image*
  • Grounding with Google Search: 1,500 RPD (free), then $35 / 1,000 requests
  • Live APIs: Input: $0.35 (text), $2.10 (audio / image [video])
Output: $1.50 (text), $8.50 (audio)
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Popular Mention

FAQs

It’s Google’s fast, multimodal workhorse model supporting text, image, video, audio, native TTS and images, tool-use, and up to 1 M token context.
Flash processes tasks at roughly twice the speed of Gemini 1.5 Pro, optimized for low-latency applications.
Accepts text, images, video, and audio; outputs text, native images, steerable TTS, and can invoke search/code tools.
Yes—you can enable Flash Thinking Experimental for visible chain-of-thought on reasoning-intensive prompts.
Accessible via Gemini app on web/mobile and through Gemini API in AI Studio and Vertex AI.

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