gemma-3-27b-it
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Gemma 3 27B It

gemma-3-27b-it
Google
Gemma 3 models are multimodal, handling text and image input and generating text output, with open weights for both pre-trained variants and instruction-tuned variants. Gemma 3 has a large, 128K context window, multilingual support in over 140 languages, and is available in more sizes than previous versions. Gemma 3 models are well-suited for a variety of text generation and image understanding tasks, including question answering, summarization, and reasoning. Their relatively small size makes it possible to deploy them in environments with limited resources such as laptops, desktops or your own cloud infrastructure, democratizing access to state of the art AI models and helping foster innovation for everyone.

Pricing

  • Input Tokens: $0.200 /M tokens
  • Output Tokens: $0.200 /M tokens
  • Cache Read: $0.000 /M tokens

Input Modalities

    Try this model

    Python
    import os
    from openai import OpenAI
    
    client = OpenAI(
        api_key=os.environ["AIHUBMIX_API_KEY"],
        base_url="https://aihubmix.com/v1",
    )
    
    response = client.chat.completions.create(
        model="gemma-3-27b-it",
        messages=[
          {
            "role": "user",
            "content": "Hello, how are you?"
          }
        ],
        max_tokens=1024,
        stream=False,
    )
    
    print(response.choices[0].message.content)

    Frequently asked questions

    What is gemma-3-27b-it?

    Gemma 3 models are multimodal, handling text and image input and generating text output, with open weights for both pre-trained variants and instruction-tuned variants. Gemma 3 has a large, 128K context window, multilingual support in over 140 languages, and is available in more sizes than previous versions. Gemma 3 models are well-suited for a variety of text generation and image understanding tasks, including question answering, summarization, and reasoning. Their relatively small size makes it possible to deploy them in environments with limited resources such as laptops, desktops or your own cloud infrastructure, democratizing access to state of the art AI models and helping foster innovation for everyone.