Question 1

What is the cost of Gemini 3.5 Flash-Lite by Venice AI?

Accepted Answer

Gemini 3.5 Flash-Lite by Venice AI costs $0.38 per 1M input tokens and $3.13 per 1M output tokens. Cached reads cost $0.04 per 1M tokens.

Question 2

What is the context window of Gemini 3.5 Flash-Lite by Venice AI?

Accepted Answer

Gemini 3.5 Flash-Lite by Venice AI has a context window of 1.0M tokens. It supports up to 1.0M input tokens and can generate up to 66K output tokens.

Question 3

What are the capabilities of Gemini 3.5 Flash-Lite by Venice AI?

Accepted Answer

Gemini 3.5 Flash-Lite by Venice AI supports advanced reasoning, tool calling/function calling, structured output, adjustable temperature, file attachments. It has closed weights.

Question 4

What input and output types does Gemini 3.5 Flash-Lite support?

Accepted Answer

Gemini 3.5 Flash-Lite by Venice AI accepts text, image, audio, video as input and can generate text as output.

Question 5

Does Gemini 3.5 Flash-Lite by Venice AI support reasoning?

Accepted Answer

Yes, Gemini 3.5 Flash-Lite by Venice AI supports advanced reasoning capabilities.

Question 6

Is Gemini 3.5 Flash-Lite by Venice AI open source?

Accepted Answer

No, Gemini 3.5 Flash-Lite by Venice AI has closed weights. The model is only available through the Venice AI API.

Question 7

Does Gemini 3.5 Flash-Lite support function calling?

Accepted Answer

Yes, Gemini 3.5 Flash-Lite by Venice AI supports tool calling (also known as function calling), allowing it to interact with external tools and APIs during conversations.

Question 8

What is the knowledge cutoff date for Gemini 3.5 Flash-Lite?

Accepted Answer

Gemini 3.5 Flash-Lite by Venice AI has a knowledge cutoff date of 2026-03. This means the model was trained on data available up until that date.

Gemini 3.5 Flash-Lite API

Input Modalities

Output Modalities

Standard (per 1M tokens)

Caching (per 1M tokens)

Gemini 3.5 Flash-Lite API

Input Modalities

Output Modalities

Standard (per 1M tokens)

Caching (per 1M tokens)