frontier model

Gemini 3.5 Flash Lite API

Gemini 3.5 Flash Lite is available through the abliteratly chat-completions endpoint. Use the model ID below, keep your OpenAI-compatible client, and pay per token from a prepaid crypto balance.

Last updated: 2026-10-23

At a glance

Model ID
gemini-3.5-flash-lite
Maker
Google
Tier
frontier
Context
1.05M
Max output
65.5K
Tools
Supported
Input modalities
text,image,video,pdf,audio

Pricing

ItemUSD per 1M tokens
Uncached input$0.3
Cached input$0.03
Output$2.5

A request with 100,000 input tokens and 20,000 output tokens costs about $0.0800 at the current rates, before any cached-input discount. The pricing page has a calculator and the billing rules.

Call it

curl https://abliteratly.beer/v1/chat/completions \
  -H "Authorization: Bearer $ABLITERATLY_API_KEY" \
  -H "Content-Type: application/json" \
  -d '{
    "model": "gemini-3.5-flash-lite",
    "messages": [{"role": "user", "content": "Hello"}]
  }'

Python:

from openai import OpenAI

client = OpenAI(base_url="https://abliteratly.beer/v1", api_key="sk-ub-...")
r = client.chat.completions.create(
    model="gemini-3.5-flash-lite",
    messages=[{"role": "user", "content": "Hello"}]
)
print(r.choices[0].message.content)

Is it a good fit?

This is a frontier model. It is the better choice when you need strong instruction following, coding or analysis and do not need uncensored behaviour. It is passed through at the upstream list price; the margin is on the uncensored tier.

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Compare the full frontier catalog, check the quickstart, or read the abliterated models guide.

Questions

How much does Gemini 3.5 Flash Lite cost?

$0.3 per 1M input tokens and $2.5 per 1M output tokens. Cached input is $0.03 per 1M where the provider supports prompt caching.

Is Gemini 3.5 Flash Lite uncensored?

No. It is a frontier model, not an uncensored or abliterated model. If you need fewer refusals, browse the uncensored tier.

Does Gemini 3.5 Flash Lite support tool calls?

Yes, the model advertises tool support. Test a multi-turn tool loop before relying on it in production.

How do I use Gemini 3.5 Flash Lite with the OpenAI SDK?

Set base_url to https://abliteratly.beer/v1, use your API key, and set model to gemini-3.5-flash-lite. The endpoint is POST /v1/chat/completions.

Are prompts stored?

Prompt and response bodies are not written to our database. We store request metadata such as model, token counts, cost and status. The upstream provider's retention policy applies to the request itself.

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