Aion 3.5 Mini
GPT-6 Luna
- Context
- 1Mtokens
- Released
- 1y ago
Gemini 2.5 Flash-Lite Preview 09-2025 is a preview model in Google DeepMind's Gemini 2.5 family of hybrid reasoning models. Google bills it as the most cost-efficient and fastest Gemini 2.5 model to date and claims higher quality than 2.0 Flash-Lite across coding, math, science, reasoning and multimodal tasks. It is built for high-volume, latency-sensitive work such as translation, classification and simple data extraction, where cost and speed are the primary constraints.
- Multimodal model
- Accepts images, audio, video, files
- 1M context
- Reasoning
- Tools
How it compares
Level
LightweightThe lab's smallest, cheapest and lowest-latency hosted line, built for high volume and simple tasks.
Lightweight models from other labs
Vs. your stack
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Sign inAdditional source evidence
- Source model
- google/gemini-2.5-flash-lite-preview-09-2025
- Source family
- gemini-flash-lite
- Last updated
- 2025-09-25
- Knowledge cutoff
- 2025-01
- Model context
- 1M
- Model output limit
- 66K
- Open weights
- No
- File attachments
- Yes
- Reasoning
- Yes
- Tool calling
- Yes
- Temperature control
- Yes
Complete source record (JSON)
{
"id": "google/gemini-2.5-flash-lite-preview-09-2025",
"name": "Gemini 2.5 Flash-Lite Preview 09-2025",
"description": "September 2025 preview of Gemini 2.5 Flash-Lite with better instruction following and multimodal quality",
"family": "gemini-flash-lite",
"last_updated": "2025-09-25",
"knowledge": "2025-01",
"attachment": true,
"reasoning": true,
"tool_call": true,
"temperature": true,
"modalities": {
"input": [
"text",
"image",
"audio",
"video",
"pdf"
],
"output": [
"text"
]
},
"limit": {
"context": 1048576,
"output": 65536
},
"release_date": "2025-09-25",
"open_weights": false
}Text provenance
Gemini app/webGoogle SynthID text watermarking
Google DeepMind says text generated in the Gemini app and web experience is watermarked with SynthID by adjusting token probabilities.
Official explanationFrequently asked questions
Capabilities and specs
The context window of Gemini 2.5 Flash-Lite Preview 09-2025 is 1M tokens (1,048,576). Its maximum output is 66K tokens (65,536).
Yes. Input modalities are text, image, audio, video and file.
Yes, tool calling (function calling) is supported.
Yes, a reasoning mode is supported.
The knowledge cutoff is 2025-01.
Quality and benchmarks
On Arena Vision it holds rank 108 with a score of 1174. On Arena Text it holds rank 194 with a score of 1379.
The closest alternatives, matched on model kind and release date with no comparable price, are ERNIE X1.1 by Baidu, Composer 1 by Cursor and Qwen Flash by Alibaba.
ERNIE X1.1Gemini 2.5 Flash-Lite Preview 09-2025 vs ERNIE X1.1Composer 1Gemini 2.5 Flash-Lite Preview 09-2025 vs Composer 1Qwen FlashGemini 2.5 Flash-Lite Preview 09-2025 vs Qwen Flash
The best open-weight alternative is Kimi K3, the highest-ranked open-weight model on Arena Text at rank 19. Gemini 2.5 Flash-Lite Preview 09-2025 itself is closed.
Versions and lineage
Both models have a 1M tokens (1,048,576) context window. Gemini 2.5 Flash was released on June 17, 2025 and costs $0.30 input and $2.50 output per 1M tokens, while Gemini 2.5 Flash-Lite Preview 09-2025 was released later, on September 25, 2025.
Gemini 2.5 FlashGemini 2.5 Flash-Lite Preview 09-2025 vs Gemini 2.5 Flash
Licensing and access
No, its openness is closed.
Basics
It was made by Google DeepMind and released on September 25, 2025.
Generated from Vertical Tabs data, updated November 11, 2026.
Discussion
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