- 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
Use cases
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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Jamba 1.5 Large