What is Gemini 2.5 Flash Lite Preview API?
Gemini 2.5 Flash Lite Preview is a lightweight AI model developed by Google, optimized for quick responses and efficient processing, making it ideal for tasks requiring minimal latency and resource consumption
Technical Specifications
- Supported inputs: Image, Text
- Output: Text
- Context window: 1,000,000 tokens / Max output: 1,048,576 tokens
- Endpoint: /chat/completions
Performance Benchmarks
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Gemini 2.5 Flash Lite Preview API Pricing
- Input: $0.0975 / 1M tokens
- Output: $0.39 / 1M tokens
Where to Use Gemini 2.5 Flash Lite Preview
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.
Gemini 2.5 Flash-Lite is documented as suited for high-volume classification tasks, where fast, low-cost handling of many requests is the priority. It is also suited for simple data extraction, especially when the input is lightweight and the output needs to be structured. Another documented use case is translation, including high-throughput translation workflows. It is also positioned for intelligent routing and other cost-sensitive, high-scale operations.
import requests r = requests.post( "https://api.aimlapi.com/v1/chat/completions", headers={"Authorization": "Bearer " + AIMLAPI_KEY}, json={ "model": "google/gemini-2.5-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-2.5-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-2.5-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 |
|---|---|---|---|---|
| SWE-bench Verified | 38.9% | Resolving verified real GitHub issues | Source | July 12, 2026 |
| AIME 2025 | 48.2% | Competition mathematics (AIME), 2025 | Source | July 12, 2026 |
| GPQA Diamond | 71.7% | Google-proof graduate science questions (hardest subset) | Source | July 12, 2026 |
| Intelligence | 10.4 | Composite score across standardised reasoning, knowledge and problem-solving evaluations, measured independently by Artificial Analysis | Source | September 12, 2026 |
| Math | 68.7 | Composite score across standardised mathematics evaluations, measured independently by Artificial Analysis | Source | September 12, 2026 |
| Model | Input | Output | Context | Best for |
|---|---|---|---|---|
Gemini 2.5 Flash Lite Preview This page | Reasoning + agents | |||
| Reasoning + agents | ||||
| Balanced coding + agents | ||||
| Long-context, multimodal & agentic workflows | ||||
| Reasoning + agents |
Gemini 2.5 Flash Lite Preview has a 1,000,000 tokens context window and can return up to 1,048,576 tokens.
Gemini 2.5 Flash Lite Preview takes image, text as input and returns text.
Use google/gemini-2.5-flash-lite as the model id. Requests go to https://api.aimlapi.com/v1/chat/completions.
Gemini 2.5 Flash Lite Preview is priced at input $0.0975 / 1M tokens, output $0.39 / 1M tokens, cached input $0.0975 / 1M tokens.
Yes, Gemini 2.5 Flash Lite Preview can stream responses as they are generated.
Yes, Gemini 2.5 Flash Lite Preview accepts image input alongside text.
Gemini 2.5 Flash Lite Preview was built by Google.
It is designed for quick responses and efficient processing, suited for tasks that need minimal latency and low resource use.
It is optimized for both low latency and efficient, cost-conscious processing.
