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AI21 Jamba

AI21 Labs' Mamba-Transformer hybrid model family with very long context, available as open weights and an enterprise API.

Overview

"AI21 Jamba" is a "API" resource curated by AI Resource Hub, filed under the AI APIs category and suited to Intermediate-level learners. It is provided by AI21 Labs, was last updated on 2026-07-24, and holds an editorial score of 4.3/5 from our team. Click "Visit Resource" on the right to open the original page.

Tags

AI21Long ContextAPI

Key Features

  • Mamba-Transformer hybrid for efficient long context
  • Strong throughput at large context lengths
  • Enterprise focus on reliable structured output

Pros

  • +Architecture advantage on long documents
  • +Open weights plus managed API flexibility

Cons

  • Smaller community than the biggest labs

FAQ

Why the Mamba hybrid design?

State-space layers keep memory use near-linear with context length, making very long inputs cheaper than pure Transformers.