Jamba 1.5 Large

About Jamba 1.5 Large

Jamba 1.5 Large is AI21's flagship model featuring a novel hybrid architecture combining Transformer and Mamba layers. This innovative design enables efficient processing of extremely long contexts—up to 256K tokens—while maintaining strong performance on standard benchmarks. The model excels at tasks requiring extensive context, including long document analysis, multi-document synthesis, and extended conversations. Jamba's architecture provides linear scaling with context length rather than quadratic, making long-context inference practical and affordable. The model demonstrates strong performance on reasoning, coding, and general language tasks. For applications requiring analysis of lengthy documents, legal discovery, research synthesis, or any scenario where context length is a limiting factor, Jamba 1.5 Large offers unique architectural advantages. It represents AI21's innovation in efficient long-context AI, providing capabilities that traditional Transformer models struggle to match economically.

Model Specifications

Other Model Lineup

Compare all models from Other to find the best fit

Similar Models from Other Providers

Cross-brand alternatives with similar capabilities

Gemma 3n 4B

Google

Input: Free

Output: Free

Context: 33k

Llama 3.2 3B Instruct

Meta

Input: Free

Output: Free

Context: 80k

Qwen2.5-VL 7B Instruct

Alibaba Qwen

Input: Free

Output: Free

Context: 33k

Seedream 4.5

ByteDance

Input: Free

Output: Free

Context: 4k

🚀 Quick Start

Get started with Jamba 1.5 Large 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-1-5-large",
    messages=[
        {"role": "user", "content": "Hello!"}
    ]
)
print(response.choices[0].message.content)

Continue Your Decision