What is Gemini 3.1 Flash Lite API?
Gemini 3.1 Flash Lite is a cost-efficient multimodal model designed for high-volume tasks such as translation, lightweight reasoning, and simple agent workflows.
Technical Specifications
- Supported inputs: Audio, Image, Text, Video
- Output: Audio, Text
- Context window: 1,000,000 tokens / Max output: 65,536 tokens
- Endpoint: /chat/completions
Performance Benchmarks
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Gemini 3.1 Flash Lite API Pricing
- Input: $0.325 / 1M tokens
- Output: $1.95 / 1M tokens
Where to Use Gemini 3.1 Flash Lite
Coding and code review
Generate, debug, and review code across languages, reading whole files or repos in a single prompt.
Agentic and multi-step workflows
Reliable tool-calling and instruction-following suit agent loops that plan, call tools, and iterate.
Complex reasoning
Extended reasoning improves reliability on multi-step math, logic, and technical analysis.
Long-document analysis
Summarize and extract from contracts, papers, and reports without aggressive chunking.
Code Sample
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Measured on the AI/ML API gateway across live traffic. Figures are medians unless stated. Last updated 2026-10-12.
High-volume translation: the model is documented for fast, low-cost translation at scale, including processing chat messages, reviews, and support tickets.
Content moderation: it is documented as suited to high-volume content moderation workloads where cost efficiency and throughput matter.
Document processing and summarization: it is documented for parsing PDFs and returning concise summaries, including pipeline-style document triage and incoming file processing.
Model routing: it is documented for classifying query complexity and routing requests to the appropriate model in an agentic workflow.
import requests r = requests.post( "https://api.aimlapi.com/v1/chat/completions", headers={"Authorization": "Bearer " + AIMLAPI_KEY}, json={ "model": "google/gemini-3-1-flash-lite", "messages": [ { "role": "user", "content": "Hello!" } ] }, ) print(r.json())
const r = await fetch("https://api.aimlapi.com/v1/chat/completions", { method: "POST", headers: { Authorization: `Bearer ${process.env.AIMLAPI_KEY}`, "Content-Type": "application/json", }, body: JSON.stringify({ "model": "google/gemini-3-1-flash-lite", "messages": [ { "role": "user", "content": "Hello!" } ] }), }); console.log(await r.json());
curl -X POST https://api.aimlapi.com/v1/chat/completions \ -H "Authorization: Bearer $AIMLAPI_KEY" \ -H "Content-Type: application/json" \ -d '{"model":"google/gemini-3-1-flash-lite","messages":[{"role":"user","content":"Hello!"}]}'
OpenAI-compatible — swap the base URL and it works with your existing SDK.
| Type | Price |
|---|---|
| Input | |
| Output | |
| Cached input |
| Benchmark | Score | What it measures | Source | Retrieved |
|---|---|---|---|---|
| LiveCodeBench | 72% | Contamination-free competitive programming problems | Source | July 12, 2026 |
| AIME 2025 | 16.7% | Competition mathematics (AIME), 2025 | Source | July 12, 2026 |
| GPQA Diamond | 86.9% | Google-proof graduate science questions (hardest subset) | Source | July 12, 2026 |
| Intelligence | 16 | Composite score across standardised reasoning, knowledge and problem-solving evaluations, measured independently by Artificial Analysis | Source | September 12, 2026 |
| Coding | 34.7 | Composite score across standardised coding evaluations, measured independently by Artificial Analysis | Source | September 12, 2026 |
| Model | Input | Output | Context | Best for |
|---|---|---|---|---|
Gemini 3.1 Flash Lite This page | Reasoning + agents | |||
| Reasoning + agents | ||||
| Balanced coding + agents | ||||
| Long-context, multimodal & agentic workflows | ||||
| Reasoning + agents |
Gemini 3.1 Flash Lite has a 1,000,000 tokens context window and can return up to 65,536 tokens.
Gemini 3.1 Flash Lite takes audio, image, text, video as input and returns audio, text.
Use google/gemini-3-1-flash-lite as the model id. Requests go to https://api.aimlapi.com/v1/chat/completions.
Gemini 3.1 Flash Lite is priced at input $0.325 / 1M tokens, output $1.95 / 1M tokens, cached input $0.0325 / 1M tokens.
Yes, Gemini 3.1 Flash Lite can stream responses as they are generated.
Yes, Gemini 3.1 Flash Lite accepts image input alongside text.
Gemini 3.1 Flash Lite was built by Google.
Yes, it includes reasoning as one of its capabilities.
It is designed for cost-efficient, high-volume tasks such as translation, lightweight reasoning, and simple agent workflows.
Yes, it supports function calling, tools, and parallel tool calls.
