Gemini 2.5 Flash
VerifiedGoogle's fast multimodal model for unified text, image, audio, and video tasks.
About Gemini 2.5 Flash
Gemini 2.5 Flash uses a multimodal architecture that processes different input types in a single forward pass. Its design emphasizes low latency while maintaining support for very long contexts. The model is available only through Google's API and does not release weights.
A key strength is the ability to reason across mixed media within one conversation or document. The million-token context allows analysis of lengthy transcripts, video timelines, or multi-page documents without chunking. Performance remains consistent across text, visual, and auditory modalities.
Typical usage includes building assistants that summarize videos, answer questions about images and audio clips, or generate reports from combined file uploads. Developers integrate it into workflows requiring real-time multimodal understanding rather than single-modality text generation.
Capabilities
How Gemini 2.5 Flash compares
Gemini 2.5 Flash (striped bar) vs other multimodal on intelligence, speed and price.
Price
USD per 1M output tokens · Lower is better · Gemini 2.5 Flash ranks #69 of 139
Nova 2 LiteSources: Artificial Analysis (intelligence, speed) · OpenRouter (price).
Best for
Long-context Multimodal Document Analysis
Handles reasoning and summarization over large files combining text, images, audio, and video within its 1048576-token context window.
Audio and Video Content Processing
Performs fast inference for transcription, analysis, and extraction of insights from extended audio or video inputs alongside other modalities.
Code Generation with Multimodal Inputs
Generates and interprets code while incorporating visual, audio, or file-based context for development and debugging tasks.
Strengths & limitations
Strengths
- +Broad native support for multiple input modalities
- +Efficient handling of very large contexts
- +Strong balance of speed and capability
- +Versatile across text, vision and audio tasks
Limitations
- –Lower peak performance than larger Gemini variants on complex tasks
- –Speed optimizations may reduce depth on nuanced reasoning
- –Practical limits on full 1M-token context utilization
Cost calculator
Estimate what Gemini 2.5 Flash would cost for your usage.
Based on Gemini 2.5 Flash's $0.30/1M input · $2.50/1M 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.
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",
messages: [{ role: "user", content: "Hello!" }],
});
console.log(completion.choices[0].message.content);Model slug: google/gemini-2.5-flash
Editor's verdict
Gemini 2.5 Flash is Google's proprietary multimodal with a 1049K-token context window.
At $2.50 per 1M output tokens, it is mid-priced for its class.
It is available through Google's API and aggregators like OpenRouter.
Best suited to broad native support for multiple input modalities and efficient handling of very large contexts.
Frequently asked questions
Pricing details are available directly from Google based on usage volume and access method.
User reviews
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Other Gemini models
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