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.