Speed
Output tokens / second
Gemini 2.5 Flash Lite Preview overview
Gemini 2.5 Flash Lite Preview specs
- Model ID
google/gemini-2.5-flash-lite-preview- Developer
- Context window
- 1,000,000 tokens
- Max output
- 65,536 tokens
- Input
- Image, Text
- Output
- Text
- API
- OpenAI-compatible, base URL
https://api.aimlapi.com/v1
What Is Gemini 2.5 Flash Lite Preview API?
Gemini 2.5 Flash Lite Preview is an exact model identifier used for Google’s Gemini 2.5 Flash-Lite preview release, with the public preview model code shown as gemini-2.5-flash-lite-preview-09-2025. Google describes this preview as available in Google AI Studio and Vertex AI.
Google’s documentation for the preview lists supported input types as text, image, video, audio, and PDF, with text output.
Technical Reference
| Developer | |
|---|---|
| Model ID | google/gemini-2.5-flash-lite-preview |
| Release Date | September 8, 2025 |
| Context Window | 1,000,000 tokens (~1M) |
| Max Output Tokens | 1,048,576 tokens |
| Modalities | Image, Text → Text |
| Capabilities | parallel tool calls, reasoning, streaming, structured (JSON schema) output, tool/function calling, vision |
What Gemini 2.5 Flash Lite Preview Brings to the Table
Model code
The preview model code is gemini-2.5-flash-lite-preview-09-2025.
Supported data types
Inputs include text, image, video, audio, and PDF; output is text.
Supported capabilities
Google lists caching, code execution, file search, function calling, search grounding, structured outputs, thinking, and URL context as supported.
Consumption options
Google lists Batch API as supported, while Flex inference and Priority inference are not supported for the preview.
Where Gemini 2.5 Flash Lite Preview Makes the Most Sense
Multimodal input workflows
The model accepts text, image, video, audio, and PDF inputs, making it suitable for mixed-format processing tasks.
Tool-augmented applications
Google lists function calling, code execution, file search, search grounding, and structured outputs as supported, which fits agentic and workflow-driven applications.
Low-latency or high-volume usage
Google positions Flash-Lite as optimized for performance and efficiency in high-volume workloads.
Gemini 2.5 Flash Lite Preview vs the Alternatives
Gemini 2.5 Flash-Lite
Google’s documentation identifies the stable Gemini 2.5 Flash-Lite model as separate from the preview version.
Gemini 2.5 Flash
Google’s announcement groups the Flash-Lite preview alongside Gemini 2.5 Flash as part of the updated Gemini 2.5 release family.
Sources: https://ai.google.dev/gemini-api/docs/models/gemini-2.5-flash-lite · https://developers.googleblog.com/en/continuing-to-bring-you-our-latest-models-with-an-improved-gemini-2-5-flash-and-flash-lite-release/ · https://ai.google.dev/gemini-api/docs/models/gemini-2.5-flash-lite-preview-09-2025
Use cases
High-volume classification is a documented fit for Gemini 2.5 Flash-Lite Preview, including classification tasks at scale and other high-throughput workloads.
Simple data extraction is another stated use case, especially when the task is lightweight, structured, and needs low latency.
Translation is explicitly called out as a good match, with the model described as well suited to translation-heavy workflows and improved translation quality in the preview version.
Extremely low-latency applications are also a stated fit, particularly where budget and speed are the main constraints.
Capabilities
- Reasoning
- Streaming
- Vision
Gemini 2.5 Flash Lite Preview benchmarks by 
Artificial Analysis
See how Gemini 2.5 Flash Lite Preview compares in generation speed and latency. Data retrieved Nov 4, 2026.
Benchmark results
Compare 14 models available on AI/ML API across 5 independent benchmarks.
Humanity's Last Exam
Expert-written questions across academic subjects.
GPQA Diamond
Graduate-level science questions written to resist web search.
AA-LCR
Reasoning across long documents of about 100k tokens.
IFBench
Following precise instructions about the shape of the answer.
τ²-Bench Telecom
Customer support agent tasks with tool calls.
Gemini 2.5 Flash Lite Preview API pricing
| Usage | Price | Unit |
|---|---|---|
| Input | $0.075 | 1M tokens |
| Output | $0.3 | 1M tokens |
| Cached input | $0.075 | 1M tokens |
Prices from the AI/ML API price list, checked on Nov 4, 2026.
Gemini 2.5 Flash Lite Preview vs other models: token prices
AI/ML API input and output rates for 5 models, per million tokens.
| Model | Input | Output |
|---|---|---|
 Gemini 2.5 Flash Lite Preview | $0.075 | $0.3 |
| Gemini 3.8 Flash | $0.75 | $3.75 |
| Gemini 3.7 Flash | $0.75 | $3.75 |
| Gemini 3.6 Flash | $1.5 | $7.5 |
| Gemini 4 Argon | $2 | $10 |
How to use the Gemini 2.5 Flash Lite Preview API
View docs
Build with your agent
Give your agent the model details, code and documentation.
Paste it into your coding agent to build the integration.
1Get your API key
Create API keyexport AIMLAPI_KEY="8f2b4c7d9a1e6b3f…"2Make your first request
curl '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-preview",
"messages": [
{
"role": "user",
"content": "Write a haiku about the ocean."
}
]
}'import os
import requests
headers = {
"Authorization": f"Bearer {os.environ['AIMLAPI_KEY']}",
"Content-Type": "application/json",
}
payload = {
"model": "google/gemini-2.5-flash-lite-preview",
"messages": [
{
"role": "user",
"content": "Write a haiku about the ocean."
}
]
}
response = requests.post("https://api.aimlapi.com/v1/chat/completions", headers=headers, json=payload, timeout=120)
response.raise_for_status()
print(response.json())const response = 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-preview",
"messages": [
{
"role": "user",
"content": "Write a haiku about the ocean."
}
]
}),
});
if (!response.ok) throw new Error(`HTTP ${response.status}`);
console.log(await response.json());Models similar to Gemini 2.5 Flash Lite Preview
Gemini 2.5 Flash Lite Preview FAQ
What is the context window of Gemini 2.5 Flash Lite Preview?
Gemini 2.5 Flash Lite Preview has a 1,000,000 tokens context window and can return up to 1,048,576 tokens.
What inputs and outputs does Gemini 2.5 Flash Lite Preview support?
Gemini 2.5 Flash Lite Preview takes image, text as input and returns text.
What is the model ID for Gemini 2.5 Flash Lite Preview?
Use google/gemini-2.5-flash-lite-preview as the model id. Requests go to https://api.aimlapi.com/v1/chat/completions.
When was Gemini 2.5 Flash Lite Preview released?
Gemini 2.5 Flash Lite Preview became available on September 9, 2025.
How much does Gemini 2.5 Flash Lite Preview cost?
Gemini 2.5 Flash Lite Preview costs $0.075 input and $0.3 output per 1M tokens on AI/ML API, billed as you go with no subscription.
Does Gemini 2.5 Flash Lite Preview support streaming?
Yes, Gemini 2.5 Flash Lite Preview can stream responses as they are generated.
Can Gemini 2.5 Flash Lite Preview read images?
Yes, Gemini 2.5 Flash Lite Preview accepts image input alongside text.
Who created Gemini 2.5 Flash Lite Preview?
Gemini 2.5 Flash Lite Preview was built by Google.
Does Gemini 2.5 Flash Lite Preview support function or tool calling?
Yes, it supports tools including parallel tool calls and structured output.