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Gemini 3.1 Flash Lite Preview

GoogleChatin 0.2 · out 1.2 Credits / 1M tokens≈$0.2 / $1.2Available
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Gemini 3.1 Flash is Google's most cost-efficient Gemini 3 model (preview), with strong intelligence, high throughput, and multimodal input. Access it through Velokey's unified endpoint with below-list pricing.

Most cost-efficient in Gemini 3363 tokens/secondFlexible reasoning levels1M-token multimodal input

Use cases

Coding & UI generation · Translation & data labeling at scale

Input

Text, image

Output

Text

Billing

Per token

0.7
02
2048
2568192
gemini-3.1-flash-lite-preview

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Sign up to get $0.5 in free credits — about 20 free images

Pricing details

Transparent usage-based pricing with no hidden fees.

Detailed Pricing

Usage-based pricing breakdown

SpecPriceOfficialSavings
Input/1M tokens0.2 Credits≈$0.20.25 Credits-20%
Output/1M tokens1.2 Credits≈$1.21.5 Credits-20%
Cache Read/1M tokens0.02 Credits≈$0.020.025 Credits-20%

Billing Rules

  • Output price varies by model, resolution, quality, duration, or token usage.
  • Uploaded reference files may be charged separately when supported.
  • Add-on capabilities such as web search or image search may be billed per request.
  • Token-based models are billed by input and output tokens.
  • If the primary route is unavailable, Velokey may automatically switch to a stable fallback route when possible.
  • Usage is pay-as-you-go with transparent credit deduction.

* Final cost depends on the generated result.

Related models

Explore other models in the same family.

Affordable Gemini 3.1 Flash API

Access Google DeepMind's most cost-efficient Gemini 3 model on Velokey — high throughput, flexible reasoning levels, and 1M-token multimodal input, with a unified endpoint and below-list pricing for production apps.

Meet Gemini 3.1 Flash and its API access

Gemini 3.1 Flash is Google DeepMind's most cost-efficient model in the Gemini 3 series (preview). It pairs strong intelligence with high throughput at 363 tokens/second and low latency, adds flexible reasoning levels so you can match compute to each task's complexity, and accepts multimodal input — text, image, video, audio, and PDF — over a 1M-token context window with function calling, structured output, search grounding, and code execution. It outperforms Gemini 2.5 Flash on GPQA Diamond, MMMU-Pro, and code generation. Velokey provides an affordable, easy-to-integrate Gemini 3.1 Flash API: a unified chat endpoint, a clear request flow, and below-list pricing for production systems, high-volume pipelines, and real-time applications.

Most cost-efficient in the Gemini 3 series

The most cost-efficient model in the Gemini 3 series, pairing strong intelligence with a low price so high-volume workloads stay affordable without giving up quality.

View Documentation →
Most cost-efficient in the Gemini 3 series

High speed and low latency

Generates around 363 tokens/second with low latency, keeping high-volume and latency-sensitive tasks responsive — ideal for real-time content generation at scale.

View Documentation →
High speed and low latency

Flexible reasoning levels

Dial reasoning depth up or down for each request to match variable task complexity — cheap and instant for simple work, deeper when a task truly needs it.

View Documentation →
Flexible reasoning levels

1M-token multimodal input with tools

Accepts text, image, video, audio, and PDF over a 1M-token input context, with function calling, structured output, search grounding, and code execution for real agent workflows.

View Documentation →
1M-token multimodal input with tools

How to deploy the Gemini 3.1 Flash API on Velokey

Get started with just a few steps.

1

Sign up and get an API Key

Sign in to the Velokey console to generate an API Key that authenticates every request sent to gemini-3-1-flash.

2

Configure request parameters

Set model to gemini-3-1-flash and submit messages. Pick a flexible reasoning level to balance depth against speed, and attach text, image, video, audio, or PDF input as needed.

3

Integrate and start calling

Send requests to Velokey's unified /v1/chat/completions endpoint to power assistants, high-volume pipelines, and real-time apps, with usage managed in one console.

Real-world use cases for Gemini 3.1 Flash

From coding to large-scale data work, covering many high-volume scenarios.

Coding & UI generation

Strong code-generation quality with low latency — fit for coding assistants and generating UI at scale where speed and cost both matter.

Translation at scale

Cost-efficient and fast — fit for high-volume translation pipelines that process large batches of content continuously.

Data labeling at scale

Low per-call cost and high throughput — fit for labeling and annotating large datasets across long-running jobs.

Real-time content generation

363 tokens/second with low latency — fit for real-time content generation in live products and interactive experiences.

Latency-sensitive reasoning

Flexible reasoning levels let you keep responses quick while still reasoning when needed — fit for latency-sensitive assistants.

Multimodal understanding

Takes text, image, video, audio, and PDF input over a 1M-token context — fit for analyzing and summarizing mixed-media content.

Why choose Velokey for Gemini 3.1 Flash

Discount on list price

Call Gemini 3.1 Flash at a lower price on Velokey — pay-as-you-go with no forced subscription, keeping high-volume workloads affordable.

Unified API interface

One API Key accesses Gemini 3.1 Flash and other models — no juggling multiple accounts and keys, simplifying integration.

Complete docs and integration guidance

Endpoint references, parameter details, and examples help you wire up reasoning levels, multimodal input, and tool use quickly.

Stable and highly available

Automatic failover and stable fallback routes maintain availability when the primary route is down, keeping production reliable.

API Reference

Complete API call examples and parameter descriptions

Endpoint

https://api.velokey.ai/v1beta/models/{model}:generateContent

Authentication

Bearer YOUR_API_KEY

Request Example

curl https://api.velokey.ai/v1beta/models/{model}:generateContent \
  -X POST \
  -H "Authorization: Bearer YOUR_API_KEY" \
  -H "Content-Type: application/json" \
  -d '{
    "model": "gemini-3.1-flash-lite-preview",
    "messages": [{"role": "user", "content": "Hello!"}],
    "temperature": 0.7
  }'

Response Example

{
  "id": "req_abc123",
  "model": "gemini-3.1-flash-lite-preview",
  "created": 1234567890,
  "data": { ... }
}

Gemini 3.1 Flash API FAQ

What is Gemini 3.1 Flash best for?

It's the most cost-efficient model in the Gemini 3 series (preview), built for high-volume tasks that need efficiency plus intelligence — coding and UI generation, translation, data labeling at scale, real-time content generation, and latency-sensitive reasoning.

How fast is it?

It generates around 363 tokens/second with low latency, making it well suited to high-volume and latency-sensitive workloads. Flexible reasoning levels let you trade depth for speed per task.

What inputs and tools does it support?

Multimodal input — text, image, video, audio, and PDF — with text output, over a 1M-token input context and 64K output. Tool use includes function calling, structured output, search grounding, and code execution. Knowledge cutoff is January 2025.

How does it compare to Gemini 2.5 Flash?

It outperforms Gemini 2.5 Flash on key benchmarks, reaching 86.9% on GPQA Diamond, 76.8% on MMMU-Pro, and 72.0% on code generation.

How is it billed on Velokey?

This page's pricing area shows the current Velokey price, billed by input and output tokens with a discount on list price. One API key covers Gemini 3.1 Flash alongside other models.

Start building with Gemini 3.1 Flash Lite Preview today

Use one API key to access low-cost, stable AI models through Velokey.

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