Jamba

Jamba is an AI Model APIs open model family for enterprises that need long-context, efficiency-optimized LLMs, secure self-hosted or private-cloud deployment, and flexible evaluation paths, with free trial access plus published pay-as-you-go API rates for Jamba Mini and Jamba Large. It is built for enterprises, regulated teams, and developers that need high-quality language models with low latency, private deployment options, and support for long-document workflows.

AI21 presents Jamba as a family of open foundation models designed around enterprise efficiency, security, and long-context processing. The website highlights a hybrid Mamba-Transformer architecture intended to provide fast processing while maintaining output quality, especially on tasks that involve long inputs. A key technical detail is Jamba's 256K context window, which is positioned for enterprise-grade document processing such as financial records, contracts, and full knowledge-base search. The current model family shown on the page includes Jamba2 3B, Jamba2 Mini, and Jamba Reasoning 3B, giving teams compact options for on-device applications, agentic workflows, core enterprise workflows, and enterprise-grade reasoning.

Jamba's strongest fit is private or controlled AI deployment. The website explicitly lists self-hosted deployment, secure cloud deployment through trusted technology partners, and private-by-design systems that keep proprietary data locked down. That makes it meaningfully different from model APIs that are primarily consumed as hosted endpoints only. For organizations in finance, healthcare, defense, manufacturing, and technology, the value proposition is not just model access; it is the ability to run long-context AI workflows while meeting stricter requirements around data security, compliance, IP protection, and operational control.

Based on our analysis of 870+ AI tools, Jamba stands out in the AI Model APIs category for combining open model availability with enterprise deployment flexibility. The website emphasizes long-context document processing, low latency, and cost efficiency rather than consumer chatbot features or no-code app building. Compared with general-purpose hosted LLM APIs, Jamba is better suited to teams that want to evaluate, download, and deploy models in their own environment or a private cloud arrangement. Compared with broader AI platforms, it is narrower: Jamba is a model family, not a complete agent workspace, evaluation suite, or end-user application layer.

AI21's public pricing page lists a free trial with $10 in credits for 3 months, no credit card required, and usage-based pay-as-you-go access for foundation model APIs and SDKs with unlimited seats. Published API rates include Jamba Mini at $0.20 per 1M input tokens and $0.40 per 1M output tokens, and Jamba Large at $2.00 per 1M input tokens and $8.00 per 1M output tokens. AI21 also states that an average token corresponds to about 1 word or 6 English characters. Custom plans are available for companies that need volume discounts, premium API rate limits, private cloud hosting, priority support, a dedicated account manager, or expert AI consultancy. The public page also provides several concrete product updates: AI21 introduced Jamba Reasoning 3B on October 8, 2025, described Jamba 1.6 for private enterprise deployment on March 6, 2025, and listed a January 8, 2026 update introducing Jamba2 as an open source model family for enterprise reliability and efficiency. Those dates show active development across 2025 and 2026, with the newer Jamba2 line focused on reliable, efficient enterprise use.