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Gemini 3.5 Flash Lite

Chat model by Google.

Google language model featuring a 1,048,576-token context window. Engineered for dialogue, instruction following, and versatile text generation.

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Models / Gemini 3.5 Flash LiteID: vertex_ai/google/gemini-3.5-flash-lite

Context window

Maximum input context length.

1.05M

tokens

Max output

Maximum completion tokens per request.

66K

tokens

Maker

Google

Served On: Google Vertex AI

Specifications

Context window, ranked against other chat models

Proportional scale: 0 to 1.05M tokens. Not ranked, no published context window: qwen-plus-2025-09-11, voxtral-small-24b-2507, qwen3.6-plus-2026-04-02.

Context window

1.0M

tokens
Max output

66K

tokens
Modality

chat

Vision
Function calling
System prompt

Benchmarks

LMSYS Chatbot Arena (text)Rank #89 · Score 1435
Source: huggingface.co · Leaderboard: 2026-10-152026-10-15

Pricing

Rates are read live

Pricing for gemini-3.5-flash-lite is fetched from the live catalogue on load, so it is never served from a cache that could outlive a repricing.

Availability

Not enough data yet

We have not collected enough health probes for this model to publish an uptime or latency figure. A percentage from a handful of samples is fabricated precision, so none is shown until the sample count supports one.

How Gemini 3.5 Flash Lite is billed

Billed at the provider's list price, with no per-token markup.

Exact list price
Tokens settle at the published rate of the model that served your call.
Cache discounts passed through
Provider prompt-caching discounts reach your balance with no added fee.
Cost on every response
Each response carries the x-nr-request-cost header, so you can reconcile spend per request.

More from Google

gemini-3.1-progoogle/gemma-4-31B-itgoogle/gemma-4-26B-A4B-itgemini-3.1-flash-lite

Start building with gemini-3.5-flash-lite

One API key, three steps. Choose your tool to begin.

  1. Get a key

    Create API key

  2. Set your API key

    export NROUTER_API_KEY="<YOUR_API_KEY>"

  3. Configure Claude Code

    Choose a tool, then copy its setup from the panel.

npm install -g @anthropic-ai/claude-code
Claude Code · vertex_ai/google/gemini-3.5-flash-lite
# Point Claude Code to nRouter gateway
export ANTHROPIC_BASE_URL="https://api.nrouter.ai"
export ANTHROPIC_API_KEY="$NROUTER_API_KEY"

# Launch with vertex_ai/google/gemini-3.5-flash-lite
claude --model vertex_ai/google/gemini-3.5-flash-lite

FAQs

What is Gemini 3.5 Flash Lite?

Google language model featuring a 1,048,576-token context window. Engineered for dialogue, instruction following, and versatile text generation.

How much does Gemini 3.5 Flash Lite cost?

Gemini 3.5 Flash Lite is billed at the provider's list price on nRouter with no per-token markup — tokens settle at the exact upstream rate. Input and output rates are read live, so see the pricing section above for the current figures.

What is the context length of Gemini 3.5 Flash Lite?

Gemini 3.5 Flash Lite supports a 1,048,576-token context window. It can generate up to 65,536 output tokens per request.

Does Gemini 3.5 Flash Lite support tool calling and structured outputs?

Yes. Gemini 3.5 Flash Lite supports tool calling (function calling), so it can invoke external tools and APIs during a conversation.

What inputs and outputs does Gemini 3.5 Flash Lite support?

Gemini 3.5 Flash Lite takes text and images as input and returns text as output.

How do I use Gemini 3.5 Flash Lite via nRouter?

Use any OpenAI-compatible client: point it at https://api.nrouter.ai/v1 with your nRouter API key and set the model to "vertex_ai/google/gemini-3.5-flash-lite". The quick-start panel above has a copy-paste curl command for this model.

When was Gemini 3.5 Flash Lite released?

Gemini 3.5 Flash Lite was released on October 4, 2026.

Where is the Gemini 3.5 Flash Lite documentation?

Start at nrouter.ai/docs. The quick-start guide (nrouter.ai/docs/getting-started/quick-start) covers API keys and your first request, and the API reference (nrouter.ai/docs/api-reference) lists every parameter.

What other text models does Google have?

Other Google text models on nRouter include Gemini 3.1 Pro (nrouter.ai/models/gemini-3.1-pro), Gemma 4 31B Instruct (nrouter.ai/models/google-gemma-4-31b-it), Gemma 4 26B A4B Instruct (nrouter.ai/models/google-gemma-4-26b-a4b-it), Gemini 3.1 Flash Lite (nrouter.ai/models/gemini-3.1-flash-lite).