Gemini 3.8 Flash

Pricing updated daily · Last refreshed Oct 29, 2026

Google model with a 1.05M-token context window, priced at $0.825 per million input tokens and $4.125 per million output tokens.

At a glance

Provider
Google
Context window
1,048,576 tokens
Max output
65,536 tokens
Input price
$0.825 / 1M tokens
Output price
$4.125 / 1M tokens
Input types
text, image, video, audio
Function calling
Yes
Released
September 2, 2026

What it costs

Illustrative request sizes, not measurements of any real product. For your own volumes, use the cost estimator.

Example costs for Gemini 3.8 Flash
WorkloadTokens in / outPer requestPer 1,000 requests
Short chat reply1,000 / 500$0.0029$2.89
Question over retrieved documents8,000 / 500$0.0087$8.66
Summarise a long document50,000 / 1,500$0.0474$47.44

How it compares

  • Input price ($0.825 per 1M tokens) is the 17th lowest of 30 models in the catalogue.
  • Output price ($4.125 per 1M tokens) is the 17th lowest of 30.
  • Context window (1.05M tokens) is the 7th largest of 30.
  • Maximum output (66K tokens) is the 17th largest of 30.
  • On blended price it is about the same price as the median Google model in the catalogue.

These are rankings by listed price and size within this catalogue (blended price weights input 3:1 against output), not a measure of output quality.

Cheaper models with the same capabilities

Lower blended price, at least the same context window, and the same input types and function calling.

Cheaper alternatives to Gemini 3.8 Flash
ModelProviderContextInput $/1MOutput $/1M
Gemini 3.6 FlashGoogle1.05M$0.75$3.75
Gemini 3.7 FlashGoogle1.05M$0.75$3.75

More from Google

Other Google models
ModelProviderContextInput $/1MOutput $/1M
Gemini 4 ArgonGoogle1.05M$2.00$10.00
Nano Banana 2.1Google66K$1.50$7.50
Gemini 3.7 FlashGoogle1.05M$0.75$3.75
Gemini 3.6 FlashGoogle1.05M$0.75$3.75

Try it with your own text

Source: OpenRouter’s public model catalogue (google/gemini-3.8-flash), read once a day. These are the prices OpenRouter charges; a provider’s own list price can differ, so check the provider before committing to a budget.

llmtools is a vendor-neutral toolkit for working with large language models — token counting, cost estimation and model comparison, computed in your browser. OpenAI token counts are exact, using the same encoding the model does (o200k_base for GPT-4o, cl100k_base for GPT-4/3.5); Claude and Gemini counts are labelled approximations, since neither publishes a tokenizer that runs client-side. Model pricing is read from OpenRouter’s public catalogue once a day. Nothing you type is ever transmitted anywhere.