Gemini 3.8 Flash: API price, context window and how to connect

Gemini 3.8 Flash by Google: $0.825 per million input tokens, $4.125 per million output tokens, a 1.05M-token window. What it is good for, what to compare it with and how to connect it in SKILLOK.

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In this article

In short#

The strongest model of Google's Flash line: noticeably better than 3.7 Flash at software engineering, agentic tasks and multi-step reasoning. It accepts text, images, video, audio and files.

Specifications#

Provider Google
Released 2026-09-02
Context window 1.05M tokens
Accepts text, images, video, files, audio
Answers with text
Reasoning mode yes
Tool calling yes
Open weights no
Identifier google/gemini-3.8-flash

Price#

Per 1M tokens In dollars
Input (question, context) $0.825
Output (answer) $4.125

For reference: a conversation of 20 questions of ~500 tokens and answers of ~800 tokens costs about $0.074. Models in reasoning mode spend more tokens on an answer than the text shows: the reasoning is paid for too.

What it is good for#

  • Fast answers with good quality
  • Analyzing video and audio
  • Agentic tasks without a flagship price

Similar models#

Catalog models with the same kind of output, closest in the price of a typical request.

Model Input Output Window Price
Kimi K2.6 $0.65 $3.41 262K 1.2× cheaper
Grok 4.3 $1.25 $2.5 1M 1.2× cheaper
Grok 4.20 $1.25 $2.5 2M 1.2× cheaper
Kimi K2.7 Code $0.671 $3.35 262K 1.2× cheaper
DeepSeek V4 Pro 0423 $0.955 $1.911 1.05M 1.6× cheaper

Other Google models#

How to connect in SKILLOK#

Gemini 3.8 Flash works through OpenRouter: add an OpenRouter key in Settings → AI and pick the google/gemini-3.8-flash model. It then becomes available in Space AI, in tasks and to the repository agent. In detail — Connecting a model in SKILLOK.

Where the data comes from#

Prices, the context window and capabilities come from the public OpenRouter catalog as of 2026-10-19. A provider may change the price — the exact figure is always on the model's OpenRouter page.

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