gemini-2.5-flash-lite
Google's smallest and most cost effective model, built for at scale usage.
👁Vision🧠Reasoning🔧Tool calling⚡Caching
Specifications
Context window1.0M tokens
Max output66K tokens
API typechat
AddedMay 20, 2025
Model IDgoogle/gemini-2.5-flash-lite
Benchmarks
Benchmarks haven't been published yet for this exact variant.
Some variants (region-specific deployments, highspeed tiers) share benchmarks with their base model — check the base model page or the Google LLC (Gemini API) models overview.
Pricing
Input / 1M
$0.10
Output / 1M
$0.40
Cache write / 1M
$0.18
Cache read / 1M
$0.01
Estimated cost
100K input + 10K output$0.0140
1M input + 100K output$0.14
10M input + 1M output$1.40
Requesty charges exactly what the upstream provider charges — no markup, no per-request fees. Prompt caching and smart routing can reduce effective cost by 30-80%.
Quickstart
Drop-in compatible with the OpenAI SDK. Change the base URL, swap in your Requesty API key, and set the model to google/gemini-2.5-flash-lite.
123456789101112131415from openai import OpenAI client = OpenAI( api_key="YOUR_REQUESTY_API_KEY", base_url="https://router.requesty.ai/v1", ) response = client.chat.completions.create( model="google/gemini-2.5-flash-lite", messages=[ {"role": "user", "content": "Explain quantum computing in one paragraph."}, ], ) print(response.choices[0].message.content)
Other Google LLC (Gemini API) models
gemini-3.1-flash-lite-preview
1.0M ctx$0.25/1M
gemini-3.1-flash-image-preview
@us-east5
131K ctx$0.50/1M
gemini-3.1-flash-image-preview
@us-west1
131K ctx$0.50/1M
gemini-3.1-flash-image-preview
@europe-central2
131K ctx$0.50/1M
gemini-3.1-flash-image-preview
@europe-west4
131K ctx$0.50/1M
gemini-3.1-flash-image-preview
@europe-north1
131K ctx$0.50/1M
Frequently asked questions
How much does gemini-2.5-flash-lite cost?
gemini-2.5-flash-lite is priced at $0.10 per million input tokens and $0.40 per million output tokens when accessed via Requesty. Prompt caching is supported, which can cut effective input cost by up to 90% on repeated context. Requesty charges exactly what the upstream provider charges — we don't add markup.
What is the context window of gemini-2.5-flash-lite?
gemini-2.5-flash-lite has a context window of 1.0M tokens, with a maximum output of 66K tokens per response. That's roughly 1,398 words of input you can fit in a single prompt.
What can gemini-2.5-flash-lite do?
gemini-2.5-flash-lite supports vision input, tool calling, extended reasoning, prompt caching. You can call it through any OpenAI-compatible client by pointing base_url to Requesty.
How do I use gemini-2.5-flash-lite with the OpenAI SDK?
Install the OpenAI SDK, set base_url to "https://router.requesty.ai/v1", set your API key to your Requesty key, and set the model to "google/gemini-2.5-flash-lite". The Quickstart above shows Python, JavaScript and cURL snippets.
Access gemini-2.5-flash-lite through Requesty
One API key, 400+ models, OpenAI-compatible. No markup on provider prices, automatic failover, and smart caching built-in.