Google: Gemma 3n 4B

The Ideal API for Real-Time Integration and Scalable AI Deployment

Context: 32 000 tokens
Output: 2 000 tokens
Modality:
Text
Audio
Image
Video
Frame

A Powerhouse API for Scalable, Real-Time Applications


Gemma 3n 4B is the latest addition to Google’s family of advanced large language models (LLMs). This state-of-the-art model, designed to cater to the needs of modern developers and AI-focused enterprises, stands out for its ability to integrate seamlessly into diverse applications, from real-time data processing solutions to next-generation conversational interfaces.

As a mid-tier model, Gemma 3n 4B strikes a balance between performance and accessibility, making it ideally suited for production environments, generative AI systems, and real-time applications that demand reliability and efficiency.


Key Features of Gemma 3n 4B

Latency and Real-Time Readiness

Gemma 3n 4B is optimized for low latency, ensuring quick, real-time responses that enhance user experience in interactive applications. This makes it particularly valuable for applications where milliseconds matter.

Generous Context Window

With advanced contextual understanding, this model supports a large context window, enabling it to handle extensive dialogues and complex queries with higher accuracy.

Alignment and Safety

Google has embedded advanced alignment and safety protocols in Gemma 3n 4B, ensuring ethical use and reducing the probability of biases, enhancing the model’s usability across various sectors.

Multi-Language Support

This model supports multiple languages, making it adaptable for global applications and ensuring inclusivity in multilingual projects.

Developer-Friendly Deployment

Gemma 3n 4B offers flexible deployment options, providing a smooth experience for developers, whether using REST API or Python SDKs, accommodating a wide range of integration environments.


Use Cases for Gemma 3n 4B

Chatbots for SaaS and Customer Support

Develop scalable and intelligent chatbots that improve user interaction and streamline support operations, delivering real-time solutions in customer engagements.

Code Generation for IDEs and AI Development Tools

Enhance coding environments with Gemma 3n 4B’s code generation capabilities, automating routine coding tasks and boosting developer productivity.

Document Summarization for Legal Tech and Research

Simplify complex document parsing and summarization tasks in sectors such as legal tech and academia, improving decision-making processes through swift data insights.

Workflow Automation for Internal Ops and CRM

Utilize the model’s capabilities for automating workflows, ensuring efficient internal operations, streamlined customer relationship management, and automated product reporting.


Knowledge Base Search for Enterprise Data and Onboarding

Leverage the model to facilitate advanced search capabilities across extensive knowledge bases, enhancing data accessibility and streamlining onboarding procedures.


Why Use Gemma 3n 4B via AnyAPI.ai

Accessing Google: Gemma 3n 4B through AnyAPI.ai comes with multiple advantages:

Unified API Access:

Benefit from a cohesive API that unites multiple models, simplifying integration tasks.

One-Click Onboarding:

Enjoy a seamless onboarding process without any vendor lock-in concerns.

Usage-Based Billing:

Control your expenditures with flexible billing that scales with your usage.


Developer Tools and Infrastructure:

Leverage comprehensive tools and infrastructure designed for robust, production-grade systems.


Superior Provisioning and Support:

Experience enhanced provisioning systems and dedicated support, distinguishing AnyAPI.ai from alternatives like OpenRouter and AIMLAPI.

Start Using Gemma 3n 4B via API Today


Gemma 3n 4B is an indispensable tool for developers, startups, and teams aiming to integrate sophisticated, real-time AI capabilities into their systems. By using AnyAPI.ai, you can effortlessly integrate this powerful model, streamlining your processes and driving innovation.

Sign up to get your API key and launch into the future of AI development within minutes. Integrate Gemma 3n 4B via AnyAPI.ai and start building today.

Comparison with other LLMs

Model
Context Window
Multimodal
Latency
Strengths
Model
Google: Gemma 3n 4B
Context Window
32k
Multimodal
Yes
Latency
Very Low
Strengths
Real-time multimodal processing offline
Get access
Model
Mistral: Mistral Medium 3
Context Window
128k
Multimodal
Yes
Latency
Medium
Strengths
Cost-effective frontier performance, versatile, enterprise-ready
Get access
Model
Mistral: Devstral Small 1.1
Context Window
128k
Multimodal
No
Latency
Medium
Strengths
Agentic code agents, multi-file editing
Get access

Sample code for 

Google: Gemma 3n 4B

import requests

url = "https://api.anyapi.ai/v1/chat/completions"

payload = {
    "stream": False,
    "tool_choice": "auto",
    "logprobs": False,
    "model": "gemma-3n-e4b-it",
    "messages": [
        {
            "role": "user",
            "content": "Hello"
        }
    ]
}
headers = {
    "Authorization": "Bearer AnyAPI_API_KEY",
    "Content-Type": "application/json"
}

response = requests.post(url, json=payload, headers=headers)

print(response.json())
import requests url = "https://api.anyapi.ai/v1/chat/completions" payload = { "stream": False, "tool_choice": "auto", "logprobs": False, "model": "gemma-3n-e4b-it", "messages": [ { "role": "user", "content": "Hello" } ] } headers = { "Authorization": "Bearer AnyAPI_API_KEY", "Content-Type": "application/json" } response = requests.post(url, json=payload, headers=headers) print(response.json())
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const url = 'https://api.anyapi.ai/v1/chat/completions';
const options = {
  method: 'POST',
  headers: {Authorization: 'Bearer AnyAPI_API_KEY', 'Content-Type': 'application/json'},
  body: '{"stream":false,"tool_choice":"auto","logprobs":false,"model":"gemma-3n-e4b-it","messages":[{"role":"user","content":"Hello"}]}'
};

try {
  const response = await fetch(url, options);
  const data = await response.json();
  console.log(data);
} catch (error) {
  console.error(error);
}
const url = 'https://api.anyapi.ai/v1/chat/completions'; const options = { method: 'POST', headers: {Authorization: 'Bearer AnyAPI_API_KEY', 'Content-Type': 'application/json'}, body: '{"stream":false,"tool_choice":"auto","logprobs":false,"model":"gemma-3n-e4b-it","messages":[{"role":"user","content":"Hello"}]}' }; try { const response = await fetch(url, options); const data = await response.json(); console.log(data); } catch (error) { console.error(error); }
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curl --request POST \
  --url https://api.anyapi.ai/v1/chat/completions \
  --header 'Authorization: Bearer AnyAPI_API_KEY' \
  --header 'Content-Type: application/json' \
  --data '{
  "stream": false,
  "tool_choice": "auto",
  "logprobs": false,
  "model": "gemma-3n-e4b-it",
  "messages": [
    {
      "role": "user",
      "content": "Hello"
    }
  ]
}'
curl --request POST \ --url https://api.anyapi.ai/v1/chat/completions \ --header 'Authorization: Bearer AnyAPI_API_KEY' \ --header 'Content-Type: application/json' \ --data '{ "stream": false, "tool_choice": "auto", "logprobs": false, "model": "gemma-3n-e4b-it", "messages": [ { "role": "user", "content": "Hello" } ] }'
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Code is copied
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FAQs

Answers to common questions about integrating and using this AI model via AnyAPI.ai

What is Gemma 3n 4B used for?

Gemma 3n 4B is designed for diverse applications including real-time chatbots, code generation, document summarization, workflow automation, and enterprise knowledge searches.

How is it different from GPT-4 Turbo?

While GPT-4 Turbo offers a high token capacity, Gemma 3n 4B excels in low latency, ethical alignment, and multilingual support, making it superior for real-time applications.

Can I access Gemma 3n 4B without a Google account?

Yes, through AnyAPI.ai, you can access Gemma 3n 4B without needing a direct Google account, streamlining the integration process.

Is Gemma 3n 4B good for coding?

Absolutely, its code generation capabilities make it a valuable asset for developers looking to automate coding tasks and enhance development tools.

Does Gemma 3n 4B support multiple languages?

Yes, it supports over ten languages, enabling global deployment and ensuring inclusivity in projects with diverse language requirements.

Still have questions?

Contact us for more information

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