Does Gemini 3.1 Flash-Lite preview have a free tier?

Gemini 3.1 Flash-Lite preview is billed per use and the record publishes no free-tier allowance. The current published rates are input $0.2500 per 1M tokens and output $1.5000 per 1M tokens. Trial credit or promotional quota is tied to your account rather than to the model, so check the console before planning around a free tier.

When was Gemini 3.1 Flash-Lite preview released, and is it still maintained?

Gemini 3.1 Flash-Lite preview was released on 2026-03-03. Its catalog status is stable. Check the model page for deprecation notices before you build a long-lived integration on it.

How does Gemini 3.1 Flash-Lite preview score on benchmarks?

Recorded results for Gemini 3.1 Flash-Lite preview: aa_intelligence_index 24.8; arena_text 86.5. Benchmark positions are a coarse filter only — run your own prompts against the candidate models before you commit, because ranking shifts with task shape and prompt style.

What should you evaluate before moving production traffic to Gemini 3.1 Flash-Lite preview?

Before switching production traffic to Gemini 3.1 Flash-Lite preview, run a pilot on a representative slice of your traffic and check output quality, latency at peak concurrency, and cost per request. Verify the error and retry behaviour, and confirm the request limits you depend on match your plan.

How does Gemini 3.1 Flash-Lite preview compare with qwen3.5-35b-a3b, and what should you compare?

Gemini 3.1 Flash-Lite preview sits alongside qwen3.5-35b-a3b , claude-haiku-4-5 , claude-haiku-4-5-20251001 in the catalog. Compare them on the dimensions that change your bill and your users’ experience: task quality on your own prompts, latency at your concurrency, context and output limits, and cost per completed task rather than per token.

Model detail

Gemini 3.1 Flash-Lite preview

Provided by Google

Pay-as-you-go

Gemini 3.1 Flash Lite Preview is Google's high-efficiency model optimized for high-volume use cases. It outperforms Gemini 2.5 Flash Lite on overall quality and approaches Gemini 2.5 Flash performance across key capabilities. Improvements span audio input/ASR, RAG snippet ranking, translation, data extraction, and code completion. Supports full thinking levels (minimal, low, medium, high) for fine-grained cost/performance trade-offs. Priced at half the cost of Gemini 3 Flash.

Model specs

Model ID: gemini-3.1-flash-lite-preview

Context length: 1.048576M
Max output: 65.536K
I/O modalities
Released: 2026-03

API endpoints

One MixRoute gateway, OpenAI-compatible

Gemini /v1beta/models/{model}:generateContent POST
OpenAI-compatible /v1/chat/completions POST

Pricing

Flat rate, unit: /1M Tokens

Input

$0.2500 /1M Tokens

Completion

$1.5000 /1M Tokens

Selection summary

Quickly judge whether it fits your workload

What is this model good for?

Gemini 3.1 Flash Lite Preview is Google's high-efficiency model optimized

What should you check before using it?

1,048,576 context, 65,536 output tokens

Google model that supports reasoning, tool calling and structured output. Knowledge cutoff: 2025-01. Released 2026-03-03.

Why use it through MixRoute?

Gemini 3.1 Flash-Lite preview takes text and images on one route

Text and image inputs share the same route and the same key. MixRoute serves Gemini 3.1 Flash-Lite preview on the OpenAI-compatible endpoint /v1/chat/completions; point your existing client at https://api.mixroute.ai/v1 with the model ID gemini-3.1-flash-lite-preview and re-run your integration tests.

Capabilities & compatibility

Unconfirmed capabilities stay "Unknown," no guesses

Tool calling

Gemini 3.1 Flash-Lite preview supports function and tool calls.

EX Send a tools definition; the response returns tool_calls to execute and feed results back.

Structured output

Gemini 3.1 Flash-Lite preview can produce JSON-formatted output on demand.

EX response_format: { type: "json_schema" } forces valid JSON output.

Streaming

Gemini 3.1 Flash-Lite preview supports streamed responses.

EX stream: true streams tokens incrementally, so chat UIs render as they arrive.

Prompt caching

Gemini 3.1 Flash-Lite preview supports prompt caching under supported routing conditions.

EX Keep the system prompt and tool definitions at the start of the request; repeated prefixes are automatically billed at the cache-read rate.

Vision input

Gemini 3.1 Flash-Lite preview can process image inputs alongside text.

EX Pass a base64-encoded image in a image_url content part alongside text messages.

OpenAI SDK

Call Gemini 3.1 Flash-Lite preview through MixRoute's OpenAI-compatible endpoint.

EX Change base_url to https://api.mixroute.ai/v1; everything else follows the OpenAI style.

Token cost estimator

Live estimate from this page's pricing, not an actual bill

Input tokens Max per request 1.048576M

Output tokens Max per request 65.536K

Requests / month

Cache hit rate –

This model has no cache-read price; caching is not counted

FAQ

Gemini 3.1 Flash-Lite preview is a reasoning model. Reasoning effort can be tuned per request. Lower effort settings cut reasoning tokens and cost for routine work; reserve higher settings for problems that need deeper search. Measure quality at two or three settings before fixing one in production.

Get started

01

Create an API key

Generate a key in the Console; one key calls every model.
02

Set the base URL

Fully OpenAI SDK-compatible; just swap the URL to connect.

https://api.mixroute.ai/v1
03

Specify the model ID

In the request's model field, enter:

gemini-3.1-flash-lite-preview

Create an API key

New users get $5 in free credits

Test this model and alternate routes with the same request format

Start from a real workload, then let quality, total cost, and failure conditions decide whether to send production traffic.

Create an API key View integration docs