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Models

Gemini 3.8 Flash

gemini-3.8-flashby GooglerecommendedZDR enforceable
CompareOpen in Playground

Context

1.05M

Max output

66K

Pricing

$0.75/M in$0.075/M cached$3.75/M out

Fastest

1864 tok/s

Released

Sep 2026

Waterfall

  1. 1Vertex AI via Experiential Clouduses exp creditsgemini-3.8-flash·$0.75 /M in·$3.75 /M out100% up522 tok/s3.08sUse
  2. 2Gemini via Experiential Clouduses exp creditsgemini-3.8-flash·$0.75 /M in·$3.75 /M out80.6% up1864 tok/s2.61sUse

Supported parameters

primary route

Sampling

Temperature0-2Top-p0-1Stop sequences

Tools & structure

ToolsStructured output

Reasoning

ReasoninghighDefaulthigh

Streaming

Streaming

Shown for the primary route; fallback routes may differ. Sending an unsupported field? See error reference.

Vertex AI docs

Quickstart

I want you to route my LLM calls for "gemini-3.8-flash" through the Experiential gateway instead of
calling the provider directly. It speaks the OpenAI Chat Completions API, so this is a base-URL
and key swap. Please:

1. Point the client at https://api.experientiallabs.ai/v1 as the base URL.
2. Authenticate with my Experiential API key from the EXPLABS_API_KEY environment variable. If
   it isn't set, stop and tell me to create one under Settings -> API Keys and export it.
3. Use the model id "gemini-3.8-flash" exactly.
4. Update every place my code builds an LLM client for this model to use that base URL and key,
   leaving streaming and tool-calls as they are.
5. Make one test call and show me the reply plus the token usage, so we confirm it runs on my
   Experiential credits.

Tell me which files you changed.

Set EXPLABS_API_KEY to an organization API key before running your agent.

Model

Release notes
Status
Gemini via Experiential Cloudexperiential1864 tok/s2.61s80.6%1.05M66K$0.75$3.75cache$0.075-no dataactivemeasured
Vertex AI via Experiential Cloudexperiential522 tok/s3.08s100%1.05M66K$0.75$3.75cache$0.075-no dataactivemeasured