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Average Ratings 0 Ratings

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ease
features
design
support

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Write a Review

Description

Gemini 2.5, developed by Google DeepMind, represents a breakthrough in AI with enhanced reasoning capabilities and native multimodality, allowing it to process long context windows of up to one million tokens. The family includes three variants: Pro for complex coding tasks, Flash for fast general use, and Flash-Lite for high-volume, cost-efficient workflows. Gemini 2.5 models improve accuracy by thinking through diverse strategies and provide developers with adaptive controls to optimize performance and resource use. The models handle multiple input types—text, images, video, audio, and PDFs—and offer powerful tool use like search and code execution. Gemini 2.5 achieves state-of-the-art results across coding, math, science, reasoning, and multilingual benchmarks, outperforming its predecessors. It is accessible through Google AI Studio, Gemini API, and Vertex AI platforms. Google emphasizes responsible AI development, prioritizing safety and security in all applications. Gemini 2.5 enables developers to build advanced interactive simulations, automated coding, and other innovative AI-driven solutions.

Description

Mercury 3 is an innovative generative AI model offered by Inception, designed specifically for developers creating interactive applications. It employs a diffusion-based methodology to generate text concurrently, while also enabling streaming responses, tool utilization, structured outputs, and multimodal inputs that encompass text, images, and audio. By leveraging the Inception API, teams can implement it in various applications, such as conversational assistants, voice-driven platforms, search and browsing functionalities, tutoring solutions, and other responsive tasks that require dynamic generation. This powerful model is accessible through Inception's API and partnered inference providers, featuring compatibility with OpenAI's API for seamless integration into existing applications. Developers can assess the quality of the output and its latency before incorporating the model into their software, utilizing the comprehensive documentation provided with the API and SDK ecosystem. The service operates on a token-based usage system, offering a complimentary allocation along with paid rates for input and output tokens; enterprise-level options provide dedicated capacity and specialized support, ensuring flexibility and scalability for diverse projects. Ultimately, Mercury 3 empowers developers to harness advanced AI capabilities in their applications, streamlining the development process and enhancing user experiences.

API Access

Has API No 

API Access

Has API Yes 

Screenshots View All

Screenshots View All

Integrations

Amazon Bedrock No 
C# Yes 
Clojure Yes 
F# Yes 
Gemini Enterprise Agent Platform Yes 
Google AI Studio Yes 
HTML Yes 
Java Yes 
Julia Yes 
Microsoft Foundry No 
OpenRouter No 
Python Yes 
R Yes 
Ruby Yes 
Rust Yes 
SQL Yes 
Scala Yes 
Thread Deck Yes 
TypeScript Yes 
Visual Basic Yes 

Integrations

Amazon Bedrock Yes 
C# No 
Clojure No 
F# No 
Gemini Enterprise Agent Platform No 
Google AI Studio No 
HTML No 
Java No 
Julia No 
Microsoft Foundry Yes 
OpenRouter Yes 
Python No 
R No 
Ruby No 
Rust No 
SQL No 
Scala No 
Thread Deck No 
TypeScript No 
Visual Basic No 

Pricing Details

No price information available.
Free Trial No 
Free Version No 

Pricing Details

$0.10/1M input tokens
Launch pricing is $0.10 per million input tokens and $0.35 per million output tokens, 50% below standard rates of $0.20 and $0.70. A free allocation of 100 million tokens is available. Usage is token-metered; enterprise deployments offer dedicated capacity and priority support.
Free Trial No 
Free Version Yes 

Deployment

Web-Based Yes 
On-Premises No 
iPhone App Yes 
iPad App Yes 
Android App Yes 
Windows No 
Mac No 
Linux No 
Chromebook No 

Deployment

Web-Based Yes 
On-Premises No 
iPhone App No 
iPad App No 
Android App No 
Windows No 
Mac No 
Linux No 
Chromebook No 

Customer Support

Business Hours No 
Live Rep (24/7) No 
Online Support Yes 

Customer Support

Business Hours No 
Live Rep (24/7) No 
Online Support No 

Types of Training

Training Docs Yes 
Webinars No 
Live Training (Online) No 
In Person No 

Types of Training

Training Docs Yes 
Webinars No 
Live Training (Online) No 
In Person No 

Vendor Details

Company Name

Google

Founded

1998

Country

United States

Website

deepmind.google/models/gemini/flash-lite/

Vendor Details

Company Name

Inception

Founded

2024

Country

United States

Website

www.inceptionlabs.ai/models

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