Skip to content
Gemini 2.5 Flash Lite Preview 09-2025 logo

Gemini 2.5 Flash Lite Preview 09-2025

Verified

Fast multimodal model for efficient text, image, audio, and video tasks.

GoogleMultimodalClosed
Vision
Model page
Updated 2026-06-14

About Gemini 2.5 Flash Lite Preview 09-2025

Gemini 2.5 Flash Lite Preview 09-2025 is engineered by Google as a preview release focused on lightweight multimodal interactions. Its architecture supports extensive context lengths up to 1,048,576 tokens. This design enables processing of lengthy documents combined with media files.

Strengths include broad modality support for text, image, audio, video, and files. As a non-open-weight model, it maintains proprietary optimizations for performance. Users benefit from its preview status which hints at upcoming refinements.

Typical usage involves building applications for content moderation, media summarization, and interactive assistants. Developers leverage its capabilities for tasks requiring simultaneous analysis of visual and auditory inputs. The large context window makes it ideal for complex, multi-turn conversations involving rich media.

Capabilities

Multimodal understanding across text, image, audio, and video
Long-context processing up to 1M tokens
File and media analysis
Efficient text generation and reasoning
Cross-modal content interpretation

How Gemini 2.5 Flash Lite Preview 09-2025 compares

Gemini 2.5 Flash Lite Preview 09-2025 (striped bar) vs other multimodal on intelligence, speed and price.

Price

USD per 1M output tokens · Lower is better · Gemini 2.5 Flash Lite Preview 09-2025 ranks #10 of 100

$0.15
Qwen3.5-9B
$0.20
Ministral 3 14B 2512
$0.26
Qwen3.5-Flash
$0.28
MiMo-V2.5
$0.30
Seed 1.6 Flash
$0.30
Voxtral Small 24B 2507
$0.40
Gemini 2.5 Flash Lite Preview 09-2025
$0.40
Seed-2.0-Mini
$0.42
Qwen3 VL 32B Instruct
$0.50
Qwen3 VL 8B Instruct
$0.52
Qwen3 VL 30B A3B Instruct
$0.60
Mistral Small 4
$0.88
Qwen3 VL 235B A22B Instruct

Sources: Artificial Analysis (intelligence, speed) · OpenRouter (price).

Best for

Long-Context Document Analysis

The model processes up to 1M tokens to review and reason across extensive reports, codebases, or conversation histories in one pass.

Multimedia File Interpretation

It performs cross-modal analysis on combined text, image, audio, and video inputs for tasks like summarizing meetings or extracting insights from mixed media.

Efficient Reasoning Workflows

The model delivers fast text generation and logical inference while handling multimodal data, suiting real-time applications that require quick cross-modal responses.

Strengths & limitations

Strengths

  • +Optimized for speed and low latency
  • +Handles very large context windows
  • +Broad native multimodal support
  • +Lightweight deployment suitable for high-volume use

Limitations

  • Preview model may show inconsistent behavior
  • Reduced capability depth versus full Gemini variants
  • Lite design trades off some advanced reasoning performance

Cost calculator

Estimate what Gemini 2.5 Flash Lite Preview 09-2025 would cost for your usage.

$0.00030
per request
$3
estimated / month

Based on Gemini 2.5 Flash Lite Preview 09-2025's $0.10/1M input · $0.40/1M output. Estimate only — actual cost varies by provider and caching.

Quick start

OpenRouter's API is OpenAI-compatible — most SDKs work by just swapping the base URL. Only the model slug changes between models.

JavaScript · openai
import OpenAI from "openai";

const client = new OpenAI({
  baseURL: "https://openrouter.ai/api/v1",
  apiKey: process.env.OPENROUTER_API_KEY,
});

const completion = await client.chat.completions.create({
  model: "google/gemini-2.5-flash-lite-preview-09-2025",
  messages: [{ role: "user", content: "Hello!" }],
});

console.log(completion.choices[0].message.content);

Model slug: google/gemini-2.5-flash-lite-preview-09-2025

Editor's verdict

Our take on Gemini 2.5 Flash Lite Preview 09-2025

Gemini 2.5 Flash Lite Preview 09-2025 is Google's proprietary multimodal with a 1049K-token context window.

At $0.40 per 1M output tokens, it is very cost-efficient for its class.

It is available through Google's API and aggregators like OpenRouter.

Best suited to optimized for speed and low latency and handles very large context windows.

Did you find this helpful?

Frequently asked questions

The model supports a context length of 1048576 tokens for long-context processing.

User reviews

Real, verified reviews from the community shape this model's rating.

Loading reviews…

Sign in to review

Other Gemini models

Sibling versions in the Gemini family from Google.

Promote Gemini 2.5 Flash Lite Preview 09-2025

Add this badge to your website, or share the tool.

DFeatured on DhanasviGemini 2.5 Flash Lite Preview 09-2025 2