Jamba Mini 1.7

About Jamba Mini 1.7

Jamba is AI21's innovative hybrid model combining Transformer and Mamba architectures for efficient long-context processing. The model enables practical handling of extremely long contexts—up to 256K tokens—while maintaining strong performance. Jamba excels at tasks requiring extensive context including long document analysis, multi-document synthesis, and extended conversations. Its hybrid architecture provides linear scaling with context length rather than quadratic. For applications requiring analysis of lengthy materials, Jamba offers unique architectural advantages that traditional Transformers struggle to match economically.

Model Specifications

💰 Real-World Cost Examples

Estimated monthly costs for common use cases

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🚀 Quick Start

Get started with Jamba Mini 1.7 API

from openai import OpenAI

client = OpenAI(
    base_url="https://api.provider.com/v1",
    api_key="YOUR_API_KEY"
)

response = client.chat.completions.create(
    model="ai21/jamba-mini-1.7",
    messages=[
        {"role": "user", "content": "Hello!"}
    ]
)
print(response.choices[0].message.content)

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