Gemini 1.5 Flash-8B
Last Updated on: Sep 12, 2025
Gemini 1.5 Flash-8B
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What is Gemini 1.5 Flash-8B?
Gemini 1.5 Flash‑8B is Google DeepMind’s lightweight, high-volume variant of the 1.5 Flash model, optimized for efficiency and scale. It maintains multimodal abilities (text, image, audio, video) and a massive 1 million token context window—while offering 50 % lower pricing, 2× higher rate limits, and lower latency on small prompts compared to standard Flash.
Who can use Gemini 1.5 Flash-8B & how?
  • Enterprise Developers & API Users: Ideal for low-cost, high-volume applications like chatbots, transcription, summarization, and multimodal pipelines.
  • Content & Data Teams: Great for large document summarization, image captioning, and multimodal content processing at scale.
  • SaaS & High-Throughput Platforms: Power real-time applications with fast responses and minimal compute cost.
  • Researchers & Analysts: Suitable for processing hours of audio/video or millions of words with long-context understanding.
  • Cost-Conscious Innovators: Offers flagship capabilities with lower resource usage and price per token.

How to Use Gemini 1.5 Flash-8B?
  • Access the Model: Now generally available via Google AI Studio and Gemini API under `gemini-1.5-flash-8b`.
  • Submit Multimodal Inputs: Send text, image, audio, or video prompts—up to 1 million tokens.
  • Optimize for Volume: Benefit from doubled rate limits (4,000 RPM), low latency, and efficient throughput.
  • Monitor Costs: Pricing is $0.0375 per M input tokens and $0.15 per M output tokens (for <128K prompts); caching offers $0.01 per M tokens.
  • Scale Up Easily: Tune for chat, transcription, and summarization at high volume with built-in function calling and tool support.
What's so unique or special about Gemini 1.5 Flash-8B?
  • Great Cost Efficiency: Achieves cheapest “intelligence” per token with half the price of standard Flash.
  • High Volume through Labelling: 2× rate limits—4,000 requests/minute—ideal for scale-out systems.
  • Low Latency: Faster initial response on small tasks, ideal for interactive systems.
  • Multimodal & Long Context: Handles diverse input types within a 1 million token window, enabling deep document understanding.
  • Production-Ready: Flash-8B closes the performance gap to full Flash while minimizing cost and overhead.
Things We Like
  • Lowest cost-per-token solution in Gemini family
  • Doubled rate limits for high-demand environments
  • Supports huge, multimodal contexts (1M tokens)
  • Designed for real-time text, transcription, and summarization
  • Production-ready in AI Studio and via API
Things We Don't Like
  • Intelligence slightly lower than full Flash or Pro model
  • Best for high‑volume tasks; not suited for deep reasoning
  • Long-output token limit capped at 8K in some cases
Photos & Videos
Screenshot 1
Pricing
Freemium

Free

$ 0.00

Limited features available on the free plan

API

Custom

  • Input Price: 1) $0.0375, prompts <= 128k tokens 2) $0.75, prompts > 128k tokens
  • Output Price: 1) $0.15, prompts <= 128k tokens 2) $0.30, prompts > 128k tokens
  • Context Caching Price: 1) $0.01, prompts <= 128k tokens 2) $0.02, prompts > 128k tokens
  • Context caching storage: $0.25 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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FAQs

A lightweight, cost-optimized variant of Gemini 1.5 Flash designed for high-volume, multimodal tasks at scale.
It’s priced at 50 % less than standard Flash—$0.0375/M input and $0.15/M output tokens.
Supports up to 1 million input tokens (approx. 1M text or hours of audio/video).
Lower latency on small prompts, ideal for interactive or streaming applications.
Yes—it fully supports text, image, audio, and video in each request.

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