Native Multimodal Capabilities

Gemini 2.5 Flash is natively multimodal, trained concurrently on text, images, audio, video, and code. This allows for seamless cross-modal reasoning without intermediate conversion steps.

• Documents & Text:
  • Process up to 3,000 files per prompt.
  • Maximum 1,000 pages per file.
  • Ideal for Large Document Analysis: Process a 1M token archive in one shot without retrieval pipelines or chunking errors.
• Images (Vision):
  • Maximum images per prompt: 3,000.
  • Maximum file size (inline/direct upload): 7 MB.
  • Maximum file size (Google Cloud Storage): 30 MB.
• Video:
  • Maximum video length (with audio): Approximately 45 minutes.
  • Maximum video length (without audio): Approximately 1 hour.
  • Maximum number of videos per prompt: 10.
• Audio:
  • Maximum audio length per prompt: Approximately 8.4 hours (up to 1 million tokens).
  • Maximum number of audio files per prompt: 1.

Supported Features

Usage & API Integration

Load the model using the official Google Gen AI SDK. You can dynamically enable the reasoning (thinking) feature by specifying a thinking budget.

import { GoogleGenAI } from "@google/genai";

const ai = new GoogleGenAI({ apiKey: process.env.GEMINI_API_KEY });

async function runHybridReasoning() {
  const response = await ai.models.generateContent({
    model: "gemini-2.5-flash",
    contents: "Analyze this complex architectural diagram and write a migration plan.",
    config: {
      // Enable thinking for complex tasks natively
      thinkingConfig: {
        thinkingBudget: 1024,
      },
      temperature: 0.4,
    }
  });

  console.log("Model Output:", response.text);
}

runHybridReasoning();

Performance Benchmarks

Gemini 2.5 Flash is heavily optimized for speed and large-scale deployment. Below are the average throughput and latency metrics based on independent evaluations: