---
title: "Gemini 3.8 Flash — LLM-TEST.com"
url: /models/gemini-3-8-flash/
canonical_url: https://llm-test.com/models/gemini-3-8-flash/
language: en
type: model
summary: "A fast, low-cost multimodal workhorse that keeps a full million-token window. Built for high-volume apps that still need image, audio and video understanding."
last_updated: "2026-11-05"
---

# Gemini 3.8 Flash

_Google · Fast_

A fast, low-cost multimodal workhorse that keeps a full million-token window. Built for high-volume apps that still need image, audio and video understanding.

## At a glance

- Released: Aug 20, 2026
- Provider: Google
- Context window: 1,000,000 tokens
- Max output: 64,000 tokens
- Modalities: Text + image + audio + video → text
- Knowledge cutoff: January 2026
- API model ID: `gemini-3.8-flash`
- License: Proprietary (API only)

## Pricing

- Standard: $0.75 input / $3.75 output per 1M tokens
- Long context: $1.50 input / $7.50 output per 1M tokens
- Example: a 1,500-token prompt + 650-token answer ≈ $0.004 (standard)

## What's new vs Gemini 3.5 Flash (April 2026)

- Faster responses and better instruction following
- Still trails the Pro and Argon tiers on the hardest reasoning

## Best use cases

- **High-throughput extraction** — Classifies and extracts fields from large batches of documents cheaply.
- **Chat and support** — Powers responsive assistants that handle images and voice notes inline.
- **Media tagging** — Captions and categorizes large libraries of images and short video.

## Strengths

- Low latency
- Million-token context
- Strong price-to-capability ratio

## Limitations

- Weaker on multi-step reasoning
- Shorter effective reasoning depth than Pro tiers

## Where to get access

- Consumer app: Gemini app (web, Android, iOS) — https://gemini.google.com
- API: Google AI Studio — https://aistudio.google.com
- Also available: Google Vertex AI
- Docs: https://ai.google.dev/gemini-api/docs

Full comparison and live pricing: https://llm-test.com/ · directory: https://llm-test.com/models/