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Google: Gemma 3 12B

Google: Gemma 3 12B

Scalable Real-Time LLM API Access: Unlock the Power of 'Gemma 3 12B'

Context: 128 000 tokens
Output: 128 000 tokens
Modality:
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The Ultimate Mid-Tier AI Language Model for Developers and Startups


Gemma 3 12B is an advanced large language model developed by AnyAPI.ai, offering the perfect blend of power and efficiency for developers, startups, and data infrastructure teams. As a mid-tier model in a suite of language models, it hits the sweet spot between functionality and resource optimization, making it ideal for production use in real-time applications and generative AI systems.

Positioned as a versatile solution, Gemma 3 12B is designed to cater to the needs of various platforms, including SaaS companies, internal operations for enterprises, and more. With robust capabilities that support a wide range of applications, it is especially relevant for those looking to scale AI-based products without compromising on performance or cost.

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Key Features of Gemma 3 12B


Optimized Latency and Context Size

Gemma 3 12B boasts impressively low latency, facilitating real-time interactions that are crucial for responsive applications. With an expanded context window, it supports detailed conversations and document processing, enhancing user engagement and understanding.

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Advanced Alignment and Safety

Safety and alignment are paramount, and this model excels in delivering ethically aligned outputs while minimizing biased content, thus supporting safe deployment in sensitive and crucial operations.

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Comprehensive Language Support and Reasoning Abilities

Pioneering enhanced multilingual capabilities, Gemma 3 12B enables effective communication across a spectrum of languages, making it a valuable tool in global and diverse settings. Its reasoning abilities enhance analytical tasks, ensuring accurate and relevant output.

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Skilled at Coding and Natural Language Processing

This model empowers developers by proficiently handling code generation, which streamlines the development process and simplifies complex algorithmic tasks, ultimately elevating the productivity of tech teams.

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Use Cases for Gemma 3 12B


Chatbots for Customer Support

Integrate Gemma 3 12B in your customer service application to deliver real-time, accurate resolutions, providing seamless experiences for users on SaaS platforms and beyond.

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Code Generation in IDEs and AI Dev Tools

Ease the workload of developers with efficient code generation capabilities that enhance your existing toolkits, making programming intuitive and significantly faster.

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Document Summarization in Legal Tech and Research

Transform vast amounts of text into concise summaries with Gemma 3 12B, optimizing productivity in research and legal documentation by quickly delivering precise and actionable insights.

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Workflow Automation for Internal Ops and CRM

Automate and enhance business processes with intelligent workflow management, which reduces manual workloads and boosts overall efficiency in CRM systems and internal operations.

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Knowledge Base Search in Enterprise Data

Improve the accessibility of critical information in your enterprise knowledge bases, making onboarding and internal searches more effective and comprehensive.

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Why Use Gemma 3 12B via AnyAPI.ai


Collaborating with AnyAPI.ai enhances the value of Gemma 3 12B through a unified API that provides seamless access to multiple models. Enjoy one-click onboarding without vendor lock-in, paired with usage-based billing. AnyAPI.ai ensures robust developer tools and infrastructure support, distinguishing itself from other platforms like OpenRouter and AIMLAPI by providing superior provisioning, access, and analytics support.

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Start Using Gemma 3 12B via API Today


Unlock the full potential of your applications by integrating Gemma 3 12B via AnyAPI.ai. Its exceptional performance tailored for startups, developers, and teams ensures you are equipped to build and scale efficiently.

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Sign up, get your API key, and launch your transformative AI solutions with unparalleled ease and speed.

Comparison with other LLMs

Model
Context Window
Multimodal
Latency
Strengths
Model
Google: Gemma 3 12B
Context Window
128k
Multimodal
Yes
Latency
Medium
Strengths
Balanced reasoning, multilingual workflows
Get access
Model
Google: Gemma 3n 4B
Context Window
32k
Multimodal
Yes
Latency
Very Low
Strengths
Real-time multimodal processing offline
Get access
Model
Google: Gemma 3 27B
Context Window
128k
Multimodal
Yes
Latency
Medium
Strengths
High-fidelity reasoning, agent workflows
Get access

Sample code for 

Google: Gemma 3 12B

Python
JavaScript
Curl
import requests

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

payload = {
    "stream": False,
    "tool_choice": "auto",
    "logprobs": False,
    "model": "Model_Name",
    "messages": [
        {
            "content": [
                {
                    "type": "text",
                    "text": "Hello"
                },
                {
                    "image_url": {
                        "detail": "auto",
                        "url": "https://upload.wikimedia.org/wikipedia/commons/thumb/d/dd/Gfp-wisconsin-madison-the-nature-boardwalk.jpg/2560px-Gfp-wisconsin-madison-the-nature-boardwalk.jpg"
                    },
                    "type": "image_url"
                }
            ],
            "role": "user"
        }
    ]
}
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": "Model_Name", "messages": [ { "content": [ { "type": "text", "text": "Hello" }, { "image_url": { "detail": "auto", "url": "https://upload.wikimedia.org/wikipedia/commons/thumb/d/dd/Gfp-wisconsin-madison-the-nature-boardwalk.jpg/2560px-Gfp-wisconsin-madison-the-nature-boardwalk.jpg" }, "type": "image_url" } ], "role": "user" } ] } 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":"Model_Name","messages":[{"content":[{"type":"text","text":"Hello"},{"image_url":{"detail":"auto","url":"https://upload.wikimedia.org/wikipedia/commons/thumb/d/dd/Gfp-wisconsin-madison-the-nature-boardwalk.jpg/2560px-Gfp-wisconsin-madison-the-nature-boardwalk.jpg"},"type":"image_url"}],"role":"user"}]}'
};

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":"Model_Name","messages":[{"content":[{"type":"text","text":"Hello"},{"image_url":{"detail":"auto","url":"https://upload.wikimedia.org/wikipedia/commons/thumb/d/dd/Gfp-wisconsin-madison-the-nature-boardwalk.jpg/2560px-Gfp-wisconsin-madison-the-nature-boardwalk.jpg"},"type":"image_url"}],"role":"user"}]}' }; try { const response = await fetch(url, options); const data = await response.json(); console.log(data); } catch (error) { console.error(error); }
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Code is copied
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": "Model_Name",
  "messages": [
    {
      "content": [
        {
          "type": "text",
          "text": "Hello"
        },
        {
          "image_url": {
            "detail": "auto",
            "url": "https://upload.wikimedia.org/wikipedia/commons/thumb/d/dd/Gfp-wisconsin-madison-the-nature-boardwalk.jpg/2560px-Gfp-wisconsin-madison-the-nature-boardwalk.jpg"
          },
          "type": "image_url"
        }
      ],
      "role": "user"
    }
  ]
}'
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": "Model_Name", "messages": [ { "content": [ { "type": "text", "text": "Hello" }, { "image_url": { "detail": "auto", "url": "https://upload.wikimedia.org/wikipedia/commons/thumb/d/dd/Gfp-wisconsin-madison-the-nature-boardwalk.jpg/2560px-Gfp-wisconsin-madison-the-nature-boardwalk.jpg" }, "type": "image_url" } ], "role": "user" } ] }'
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FAQs

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

What is Gemma 3 12B used for?

Gemma 3 12B is used to power applications requiring natural language processing, coding generation, and real-time conversational AI, optimized for mid-tier performance needs.

How is it different from GPT-4 Turbo?

Gemma 3 12B provides a cost-effective alternative with lower latency and comparable wide context handling, optimized for real-time applications.

Can I access Gemma 3 12B without a developer account?

Yes, via AnyAPI.ai you can integrate Gemma 3 12B seamlessly and without needing a separate developer account.

Is Gemma 3 12B good for coding?

Absolutely, Gemma 3 12B excels in generating efficient and accurate code, simplifying the development process for developers.

Does Gemma 3 12B support multiple languages?

Yes, it supports a vast array of languages, enhancing global reach and communication capabilities.

Still have questions?

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