Gemini 2.5 Flash API:
Faster, Smarter, Better
Experience Google's fast, cost-efficient AI with controllable thinking via API.
Scale Efficently with Gemini 2.5 Flash
Gemini 2.5 Flash offers enhanced performance and speed compared to prior iterations. Its architecture supports a substantial Gemini 2.5 Flash context window of 1 million tokens and features native multimodality, enabling seamless processing and understanding of interleaved text, image, audio, and video inputs within a single API call, demonstrating strong capabilities on complex reasoning benchmarks.
Controllable Hybrid Reasoning
Developers gain unprecedented API-level control (thinking_budget) to dynamically adjust reasoning depth, optimizing the quality/latency trade-off for specific tasks.
Large Context Window
The model combines a massive 1 million token context window with native processing of text, image, audio, and video inputs within a single API call.
Efficiency at Scale
Gemini 2.5 Flash matches larger models in benchmarks, making it suited for high-throughput, latency-sensitive tasks where resource optimization is critical.
Drive Innovation with Gemini 2.5 Flash
Build scalable, high-performance AI solutions for complex business challenges.
Legal and Compliance
Gemini 2.5 Flash can automatically extract key data and answer complex questions from large sets of legal or compliance documents, saving time and reducing manual review.
Supply Chain & Logistics
The model automates classification and extraction of shipment and inventory data from various sources, streamlining operations and enabling rapid, cost-effective data processing.
Customer Support
Gemini 2.5 Flash powers real-time, highly accurate conversational AI agents for customer support, enabling instant query resolution and workflow automation at scale.
Technical Comparison
Gemini 2.5 Flash leverages an advanced architecture optimized for speed and efficiency while retaining strong reasoning capabilities.
Gemini 2.5 Flash vs Pro
Both models share the Gemini 2.5 architecture, featuring native multimodality and a 1M token context window. However, Gemini 2.5 Pro is tuned for peak performance on complex reasoning, coding, and creative tasks, often utilizing more computational resources. Gemini 2.5 Flash is optimized for lower latency and higher throughput, incorporating controllable hybrid reasoning (thinking_budget parameter) for fine-tuning the quality/speed trade-off.
Learn more about Gemini 2.5 Pro Preview API.
Gemini 2.5 Flash vs GPT o4-mini
Gemini 2.5 Flash offers a significantly larger context capacity (1M vs 128K tokens) and higher maximum output tokens (65K vs 16.4K). Crucially, Flash natively supports video input processing, a modality not available in o4-mini. While both are efficient, Flash's architecture provides a larger operational scope and unique controllable reasoning.
Learn more about ChatGPT o4-mini API.
Gemini 2.5 Flash vs Grok 3 Beta
Both models provide a 1M token context window. Grok 3 Beta reportedly features slightly more recent training data and a higher maximum output token limit (128K vs 65K for Flash). However, Gemini 2.5 Flash distinguishes itself with native video processing capabilities and the unique controllable hybrid reasoning mechanism accessible via its API.
Learn more about xAI Grok 3 Beta API.
Why Choose AI/ML API solution?
AI/ML API provides scalability, faster deployment, and access to 200+ advanced machine learning models without the need for extensive in-house expertise or infrastructure.
Easy To Use
Our API allows seamless integration of powerful AI capabilities into your applications, regardless of your coding experience. Simply swap your API key to begin using the AI/ML API.
Scalable
AI/ML API provides flexibility for business growth since you can scale resources by purchasing more tokens as needed, ensuring optimal performance and cost efficiency
Affordable
We offer flat, predictable pricing, payable by card or cryptocurrency, keeping it the lowest on the market and affordable for everyone.
import os
from openai import OpenAI
client = OpenAI(
base_url="<https://api.aimlapi.com/v1>",
api_key="<YOUR_API_KEY>",
)
response = client.chat.completions.create(
model="google/gemini-2.5-flash-preview",
messages=[
{
"role": "system",
"content": "You are an AI assistant who knows everything.",
},
{
"role": "user",
"content": "Tell me, why is the sky blue?"
},
],
)
message = response.choices[0].message.content
print(f"Assistant: {message}")
Getting started with
Gemini Flash 2.5 API
Visit AI Playground to quickly try API.
For more information about technical features, please refer to the Gemini 2.5 Flash API documentation.