Models / Gemini 3.1 Flash LiteID: vertex_ai/google/gemini-3.1-flash-lite
chat model by Google

Gemini 3.1 Flash Lite

Gemini 3.1 Flash-Lite is Google's lightweight multimodal foundation model for high-throughput tasks. It processes up to 1,048,576 input tokens across text, audio, video, image, and PDF, with 65,536 max output tokens for translation, transcription, and classification.

PlaygroundQuick Start
Context window1.05M
Max output66K
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: glm-5.3-prime, qwen3-235b-a22b-2507, qwen3.7-max-2026-05-17, claude-opus-5-5.

Context window

1.0M

tokens
Max output

66K

tokens
Modality

chat

Vision
Function calling
System prompt

Benchmarks

not listed on arena.ai text leaderboard as of 2026-09-11

Pricing

Rates are read live

Pricing for gemini-3.1-flash-lite is fetched from the live catalogue on load, so it is never served from a cache that could outlive a repricing.

Provider-Reported Capabilities

What the hosting provider reports for this model, shown as it was returned. nRouter adds nothing to this report and infers nothing that is missing from it.

Version ID versionId

default

Launch Stage launchStage

GA

Supported Actions supportedActions
Open Generation AI Studio openGenerationAiStudio
References references
Us central1 us-central1

{}

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 3.1 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-1.5-pro-002gemini-omni-1.1-flash-previewgemini-2.5-computer-use-preview-10-2025gemini-2.5-pro-exp-03-25

Start building with gemini-3.1-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-3.1-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-3.1-flash-lite
claude --model vertex_ai/google/gemini-3.1-flash-lite