Gemini 2.5 Flash Lite Preview 09-2025
gemini-2.5-flash-lite-preview-09-2025Gemini 2.5 Flash-Lite is a lightweight, low-latency model focused on speed and cost efficiency. It generates tokens quickly and outperforms earlier Flash models on common benchmarks. “Thinking” (multi-pass reasoning) is off by default for maximum speed, but can be turned on through the Reasoning API when deeper reasoning is needed.
- Context
- 1.0M tokens
- Endpoint
Service Status
Status information temporarily unavailable
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Pricing
Quick Start
Select an endpoint and copy a working example for this model.
from openai import OpenAI client = OpenAI( api_key="YOUR_API_KEY", base_url="https://api.apertis.ai/v1") response = client.chat.completions.create( model="gemini-2.5-flash-lite-preview-09-2025", messages=[ {"role": "user", "content": "Hello!"} ], max_tokens=1024, temperature=0.7) print(response.choices[0].message.content) # Optional: Enable context compression to reduce token usage# response = client.chat.completions.create(# model="gemini-2.5-flash-lite-preview-09-2025",# messages=[{"role": "user", "content": "Hello!"}],# extra_body={"compression": {"enabled": True, "model": "gpt-4.1-mini"}}# )Supported Parameters
API docsmodelmessagesmax_tokenstemperaturetop_pstreamtoolsreasoning_effortstream_optionsthinkingextra_bodyCursor IDE Model IDs
Use these namespaced identifiers in Cursor IDE to avoid conflicts with built-in models.
Questions about Gemini 2.5 Flash Lite Preview 09-2025
How much does Gemini 2.5 Flash Lite Preview 09-2025 cost on Apertis?
Gemini 2.5 Flash Lite Preview 09-2025 costs $0.05 per 1M input tokens and $0.20 per 1M output tokens on Apertis.
What is Gemini 2.5 Flash Lite Preview 09-2025's context window?
Gemini 2.5 Flash Lite Preview 09-2025 has a context window of 1.0M tokens.
Which company develops Gemini 2.5 Flash Lite Preview 09-2025?
Gemini 2.5 Flash Lite Preview 09-2025 is developed by Google.
Which model ID do I use to call Gemini 2.5 Flash Lite Preview 09-2025?
Use the model ID gemini-2.5-flash-lite-preview-09-2025 to call Gemini 2.5 Flash Lite Preview 09-2025.
Compare with Other Models
See how this model compares to others from the same provider.
Gemini 4 Argon
Gemini 4 Argon is Google's flagship reasoning model, built for complex software engineering, deep mathematical and scientific problem solving, and autonomous multi-step agents. Google trained it to keep context across long, multi-step tasks and to turn long documents mixing text, tables, charts and images into a single grounded output. It leads the Vals Index across finance, legal, coding and tax work, and supports long decode of up to 1M output tokens in a single response.
- Context
- 1M
- Input
- $2.00/M
- Output
- $10.00/M
Gemini 3.1 Flash Lite Image (Google Vertex AI)
Gemini 3.1 Flash Lite Image served from Google Vertex AI. Billed per image at US$0.0336. Call it through /v1/chat/completions with stream set to false; the image is returned in the message content as a base64 data URI. Maximum output resolution is 1K. A request for a larger size returns a 1K image with the same aspect ratio at the same price. When a size is reduced, the response carries an X-Image-Resolution-Capped header with the requested and delivered size.
- Context
- N/A
- Input
- — (Not priced per input token)
- Output
- — (Not priced per output token)
Gemini 3.1 Flash Lite Image (Google AI Studio)
Gemini 3.1 Flash Lite Image served from Google AI Studio. Billed per image at US$0.0336. Call it through /v1/chat/completions with stream set to false; the image is returned in the message content as a base64 data URI. Maximum output resolution is 1K. A request for a larger size returns a 1K image with the same aspect ratio at the same price. When a size is reduced, the response carries an X-Image-Resolution-Capped header with the requested and delivered size.
- Context
- N/A
- Input
- — (Not priced per input token)
- Output
- — (Not priced per output token)
Gemini 3.1 Flash Image (Google Vertex AI)
Gemini 3.1 Flash Image served from Google Vertex AI. Billed per image at US$0.067. Call it through /v1/chat/completions with stream set to false; the image is returned in the message content as a base64 data URI. Maximum output resolution is 2K. A request for a larger size, such as 4K or 4096x4096, returns a 2K image with the same aspect ratio at the same price. When a size is reduced, the response carries an X-Image-Resolution-Capped header with the requested and delivered size, for example 4096x4096->2048x2048.
- Context
- N/A
- Input
- — (Not priced per input token)
- Output
- — (Not priced per output token)