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gemini-3.1-flash-lite

Google/Proprietary/2 providers

Gemini 3.1 Flash Lite Preview is the most cost-efficient model in the Gemini family, optimized for high-volume, low-latency tasks. It delivers fast responses with solid quality for everyday use cases including summarization, classification, and simple reasoning.More

Which id to call

gemini-3.1-flash-lite

Requesty routes this id across every provider serving gemini-3.1-flash-lite, picking on price and health and failing over automatically. The id stays valid when a provider changes underneath it.

From /1M input

$0.13

Google LLC (Gemini API)

Context

1.0M

66K output

Best first token

907ms

Google LLC (Vertex AI)

Price spread

2.2x

6 endpoints

Capabilities 6/8

VisionReasoningTool callingCachingWeb searchJSON schemaComputer useImage generation

256/s↑ 15/s

Week of Sep 28, latest, median of 2 providerslog axis

Median tokens per second once generation starts, measured on traffic routed through Requesty through Oct 2. Hover a week to read it.more

The axis is logarithmic, because the lines here are more than 12x apart and a linear axis would press most of them flat. Each gridline is a step in ratio rather than a fixed amount. The axis is set by the bulk of the weeks, not by the extremes, so one weekly point sits off the frame and is marked with a caret at the edge: hover one for its figure. Stretching the axis to reach them would flatten every line worth comparing. Each provider line is that provider's own median across every model it serves, which is the grain published per provider, so a provider line can cover weeks this model was not called in yet. The exact per-provider figures for this model are ranked below.

6 endpoints / 3 regions

Providers serving gemini-3.1-flash-lite

Provider prices, per 1M tokens. Pay as you go adds 5%, or 0% on your own keys.more

The two panes rank gemini-3.1-flash-lite as measured on Requesty traffic: by the provider that served it, and by the region the request came from, where the share is how much of that region's traffic this model carries. Whole-window figures, because that is the grain Requesty publishes per provider and per region.

By provider

highest first
Google LLC (Gemini API)944/s
Google LLC (Vertex AI)293/s
Median tokens per second once generation starts. Bar length is the value, so the longest bar wins.more

Whole-window figures as published, not an average of weekly points.

By traffic region

highest first
United States414/s
Europe336/s
Asia Pacific-
Median tokens per second once generation starts. Bar length is the value, so the longest bar wins.more

Whole-window figures as published, not an average of weekly points.

Providers serving gemini-3.1-flash-lite, with pricing and measured performance. The best value in each column is highlighted.
RankCost 10wkPrivacy
1Google LLC (Gemini API)Global1.0M$0.13$0.75$0.011.16s944.098.8%Google LLC (Gemini API): Cost by week, across every model it serveszdr
2Google LLC (Vertex AI)Global1.0M$0.13$0.75$0.01907ms293.0-Google LLC (Vertex AI): Cost by week, across every model it serveszdr
3Google LLC (Gemini API)Global1.0M$0.25$1.50$0.021.16s944.098.8%Google LLC (Gemini API): Cost by week, across every model it serveszdr
4Google LLC (Vertex AI)Global1.0M$0.25$1.50$0.02907ms293.0-Google LLC (Vertex AI): Cost by week, across every model it serveszdr
5Google LLC (Vertex AI)eu1.0M$0.28$1.65$0.03907ms293.0-Google LLC (Vertex AI): Cost by week, across every model it serveszdr
6Google LLC (Vertex AI)us1.0M$0.28$1.65$0.03907ms293.0-Google LLC (Vertex AI): Cost by week, across every model it serveszdr

A column is blank where no qualifying sample exists, and every row links to that provider's endpoint page.

model=

Which id to call

One base url, https://router.requesty.ai/v1, and one key for every id here.

gemini-3.1-flash-lite

Requesty routes this id across every provider serving gemini-3.1-flash-lite, picking on price and health and failing over automatically. The id stays valid when a provider changes underneath it.

OpenAI compatible

Call it in three lines

Change the base url, use your Requesty key, set the model to any id on the left. Existing OpenAI SDK code needs no other edit.

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from openai import OpenAI client = OpenAI( api_key="YOUR_REQUESTY_API_KEY", base_url="https://router.requesty.ai/v1", ) response = client.chat.completions.create( model="gemini-3.1-flash-lite", messages=[ {"role": "user", "content": "Explain quantum computing in one paragraph."}, ], ) print(response.choices[0].message.content)

Artificial Analysis

Benchmark scores

Coding Indexcoding
34.7%

Artificial Analysis Coding Index: a composite of coding evaluations including LiveCodeBench, SciCode and Terminal-Bench.

GPQA Diamondreasoning
82.2%

Graduate-level physics, chemistry & biology questions designed to resist Googling.

Intelligence Indexreasoning
15.6%

Artificial Analysis Intelligence Index: a composite of multiple evaluations measuring overall model capability.

Scores from artificialanalysis.ai. They measure the model, not the provider, so they are the same on every endpoint above.

6

More from Google

Reference

gemini-3.1-flash-lite questions

Which providers serve gemini-3.1-flash-lite?

gemini-3.1-flash-lite is available from 2 providers through Requesty: Google LLC (Gemini API), Google LLC (Vertex AI). All endpoints share one OpenAI-compatible API and one key, and Requesty fails over between them automatically.

How much does gemini-3.1-flash-lite cost?

Pricing starts at $0.13 per million input tokens and $0.75 per million output tokens on Google LLC (Gemini API), the cheapest endpoint. Prices vary by provider and region; the table above shows every endpoint. Those are the upstream provider rates: pay as you go adds 5% on top, or 0% if you bring your own provider keys.

Is gemini-3.1-flash-lite open weights?

No. gemini-3.1-flash-lite is a proprietary model from Google, served through Google's own API and licensed cloud platforms.

What is the context window of gemini-3.1-flash-lite?

gemini-3.1-flash-lite supports up to 1.0M tokens of context, with up to 66K output tokens per response. Some providers expose a smaller window; check the per-endpoint context column above.

Which provider is fastest for gemini-3.1-flash-lite?

In recent production traffic through Requesty, Google LLC (Vertex AI) had the lowest median time to first token (907ms) for gemini-3.1-flash-lite. Latency shifts over time, so Requesty's latency-based routing picks the fastest healthy provider per request automatically.

How do I use gemini-3.1-flash-lite with the OpenAI SDK?

Install the OpenAI SDK, set base_url to "https://router.requesty.ai/v1", set your API key to your Requesty key, and set the model to "gemini-3.1-flash-lite" or any endpoint id from the table above. The quickstart section shows Python, JavaScript and cURL snippets.

Should I call gemini-3.1-flash-lite by its managed id or a provider id?

Use the managed id, "gemini-3.1-flash-lite". Requesty picks which of the 2 providers serves each request based on price and health, and fails over when one degrades, so the id keeps working while the routing changes underneath it. There is also an EU-only id, "gemini-3.1-flash-lite@eu", which routes the same way but only through EU-hosted providers. Send a provider id like "google/gemini-3.1-flash-lite:flex" only when you need one specific deployment and want no failover.

Route gemini-3.1-flash-lite through one endpoint

One key for 2 providers on this model and 600+ others. No markup on provider prices, automatic failover, caching built in.

Benchmark rankings