SJolt

Gemini 3.8 Flash Text generation API

google / gemini-3.8-flash

Google’s fast reasoning model for agentic coding and complex knowledge workflows.

Use google/gemini-3.8-flash through the sjolt LLM API.

Model IDgoogle/gemini-3.8-flash
Pricing

Token rates

Input
$0.225 / 1M tokens
Output
$1.125 / 1M tokens
Gemini 3.8 Flashgoogle/gemini-3.8-flash

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Model overview

Gemini 3.8 Flash for agentic coding at scale

Build responsive coding agents and complex knowledge workflows with Google’s latest Flash model and a million-token context window.

Gemini 3.8 Flash text generation model cover
01 · Text generation

Move through long agentic workflows

Plan, call tools, inspect results, and refine substantial software or knowledge-work tasks across longer execution loops.

  • Send one required user prompt with optional system instructions.
  • Review the exact non-streaming OpenAI Chat request before running it.
  • Inspect assistant text, finish reason, response ID, and token usage together.
Gemini 3.8 Flash long-context text generation model cover
02 · Request controls

Keep large working sets together

Use a 1,048,576-token context window for repositories, documents, conversation history, and connected task context.

User promptSystem promptNon-streaming response
Gemini 3.8 Flash API compatibility model cover
03 · API integration

Tune reasoning to the task

Route low and medium effort to the medium profile, or select high effort for the high profile through Chat Completions.

  • Compare enabled DeepSeek text models in one place.
  • Copy the request preview to keep application requests aligned with the Playground.
  • Handle assistant responses and provider availability states in the same workflow.

Model characteristics

Better for creative validation than isolated one-off generation.

01

Workflow focus

Long-horizon software engineering, autonomous agents, and complex knowledge work.

02

Context window

Up to 1,048,576 input tokens.

03

Maximum API output

Up to 65,536 tokens.

04

Thinking control

Reasoning stays enabled with low, medium, and high effort levels; medium is the default.

FAQ

These are the first questions to answer when evaluating this model.

What is Gemini 3.8 Flash suited to?

It is suited to agentic coding, multi-step tool use, advanced reasoning, and document-heavy knowledge workflows.

Can I disable thinking?

No. Reasoning remains enabled; select low, medium, or high effort to balance latency and depth.

How much context and output does the API support?

The model supports up to 1,048,576 input tokens and up to 65,536 output tokens.

Which API format can I use?

sjolt currently exposes Gemini 3.8 Flash through OpenAI-compatible Chat Completions.