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Gemini 2.5 Flash Lite

Verified

Google's fast, lightweight multimodal model for text, image, audio, and video tasks.

GoogleMultimodalClosed
Vision
Model page
Updated 2026-06-15

About Gemini 2.5 Flash Lite

Built as a streamlined member of the Gemini family, the model prioritizes speed and resource efficiency while supporting multiple input types. Its architecture enables simultaneous handling of text, images, audio, and video within one large context window. This design suits scenarios where rapid multimodal integration is required without open-weight access.

Strengths center on balanced performance for real-time applications and large-scale input processing. Typical usage includes content analysis, media summarization, and interactive tools that combine visual, auditory, and textual data streams in a single query.

Capabilities

Multimodal input processing
Long-context reasoning
Vision and video understanding
Audio transcription and analysis
File handling and reasoning
Fast text generation

How Gemini 2.5 Flash Lite compares

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

Price

USD per 1M output tokens · Lower is better · Gemini 2.5 Flash Lite ranks #16 of 124

$0.28
MiMo-V2.5
$0.30
Llama 4 Scout
$0.30
Seed 1.6 Flash
$0.30
Voxtral Small 24B 2507
$0.33
Gemma 4 26B A4B
$0.35
Gemma 4 31B
$0.40
Gemini 2.5 Flash Lite
$0.40
GPT-4.1 Nano
$0.40
Gemini 2.5 Flash Lite Preview 09-2025
$0.40
GPT-5 Nano
$0.40
Seed-2.0-Mini
$0.42
Qwen3 VL 32B Instruct
$0.50
Qwen3 VL 8B Instruct

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

Best for

Long-context document reasoning

Processes entire code repositories, research papers, or legal contracts up to 1M tokens to deliver coherent summaries and answers without chunking.

Video and vision analysis

Understands video clips and images to extract events, objects, and narratives while combining them with text or audio inputs.

Multimodal file workflows

Handles mixed files containing text, images, and audio to perform transcription, reasoning, and rapid text output in a single pass.

Strengths & limitations

Strengths

  • +Optimized for speed and efficiency
  • +Strong multimodal integration
  • +Handles very large contexts effectively
  • +Suitable for high-volume, lightweight tasks

Limitations

  • Reduced depth on highly complex reasoning
  • May underperform full-scale models on nuanced tasks
  • Lite design trades capability for cost and latency

Cost calculator

Estimate what Gemini 2.5 Flash Lite would cost for your usage.

$0.00030
per request
$3
estimated / month

Based on Gemini 2.5 Flash Lite'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",
  messages: [{ role: "user", content: "Hello!" }],
});

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

Model slug: google/gemini-2.5-flash-lite

Editor's verdict

Our take on Gemini 2.5 Flash Lite

Gemini 2.5 Flash Lite 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 efficiency and strong multimodal integration.

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Frequently asked questions

The model supports a context length of 1,048,576 tokens.

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Other Gemini models

Sibling versions in the Gemini family from Google.

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