J

Jamba 1.5 Large

Open weights
Open LLM AI21 Labs Docs ↗
Model spec
Provider
AI21 Labs
Context window
256K ctx
Max output
-
Input price
$2 / 1M tokens
Output price
$8 / 1M tokens
License
Jamba Open Model License
Open weights
Yes

The Jamba 1.5 Large from AI21 Labs represents a notable entry in the open LLM space, combining Mamba and Transformer architectures with an exceptionally long 256k token context window. This positions it as a strong option for developers working with long documents or extended conversations, where maintaining context is critical. As an open-weights model under the Jamba Open Model License, it offers more flexibility than proprietary alternatives while maintaining commercial viability. The model’s text-only focus and unspecified output limits may constrain some applications, but its architecture and context length make it particularly relevant for researchers and developers working on memory-intensive NLP tasks. Teams needing transparency and customizability in a long-context model should evaluate Jamba against similarly licensed alternatives.

Modality

Text

Use cases

Long-context document summarizationExtensive text generation and completionKnowledge-intensive QA with large inputsAnalysis of long-form content (e.g., legal or technical documents)Research on Mamba-Transformer hybrid architectures

Pros & cons

Pros

  • Exceptionally long context window (256k tokens)
  • Open weights allow for customization and transparency
  • Hybrid Mamba-Transformer architecture may offer efficiency benefits

Cons

  • Output length constraints not specified
  • Higher output pricing compared to input (8.0 vs 2.0)
  • Limited modality support (text-only)

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Read the official docs

Jamba 1.5 Large

View documentation