AI Tool
AI21 pricing, features, company info, and alternatives
A factual product page for AI21 as an enterprise AI platform for Jamba models and knowledge agents.
Last updated April 2026 · Pricing and features verified against official documentation
Pricing
Current public pricing tiers on file for AI21, last verified Apr 25, 2026.
Free trial
$0
Includes $10 in credits for 3 months with no credit card required.
Jamba Mini
$0.20 / 1M input tokens
Output tokens are $0.40 per 1M tokens.
Jamba Large
$2 / 1M input tokens
Output tokens are $8 per 1M tokens.
Custom plan
Custom
Adds volume discounts, premium API rate limits, private cloud hosting, and dedicated support.
What You Can Do With It
The main capabilities that shape how people use AI21 today.
Serves Jamba foundation models through a web platform, REST API, and official Python and TypeScript SDKs.
Offers AI21 Maestro for building knowledge agents that can search, reason, validate, and adapt against uploaded content and web sources.
Supports private deployment options including VPC and on-premises environments for enterprise use.
Makes the same model family available through AI21 Studio and third-party cloud platforms.
Best For
Who AI21 is most clearly built for.
Enterprise teams building grounded question answering, RAG, and long-context workflows.
Developers that want direct API and SDK access to AI21's Jamba model family.
Organizations that need private deployment options instead of public-SaaS-only access.
Model Notes
Current model information surfaced publicly for AI21.
Latest model
Jamba Mini 2
Context window
256K tokens
Model
Jamba Large 1.7
Model
Jamba 3B
Model
AI21 Maestro
Company
Leadership and company context for AI21 Labs.
Founders
Amnon Shashua, Yoav Shoham, Ori Goshen
Investors
Google, NVIDIA, Intel Capital, Samsung Next, Coatue, 8VC
Platforms
Where you can use AI21 today.
Web
REST API
Python SDK
TypeScript SDK
AWS
Microsoft Azure
Integrations
Notable connected tools and ecosystem hooks for AI21.
LangChain
LlamaIndex
Amazon Bedrock
Amazon SageMaker
Microsoft Azure
Privacy Notes
Publicly stated data-handling notes that matter when evaluating AI21.
AI21's privacy policy says it collects account, communication, and device-level usage data when you use its websites and services.
The Jamba docs say private deployment can retain total control over data with zero data visibility for the model vendor.
The pricing docs say usage and billing are managed inside the AI21 platform once free-trial credits are exhausted.
Compliance
Public compliance or enterprise-governance signals we found for AI21.
SOC 2
ISO 27001
ISO 27017
ISO 27018
Access
How to integrate or build around AI21.
Public API
Yes
Docs
Available
Alternatives
Other tools worth considering alongside AI21.
Enterprise AI platform with models, search, and private deployment options.
European AI platform with Le Chat, model APIs, and enterprise AI Studio tooling.
AWS's managed foundation-model platform for building, customizing, and governing generative AI apps.
Developer platform for running, fine-tuning, and deploying open models.
Product Snapshot
AI21 is an enterprise AI platform built around its Jamba model family and AI21 Maestro knowledge agents. Its public materials position it around long-context reasoning, grounded retrieval, and private deployment for enterprise environments.
What You Can Do With It
- Access Jamba models through the web platform, REST API, and official Python or TypeScript SDKs.
- Build knowledge agents with AI21 Maestro for retrieval, reasoning, validation, and web-assisted research workflows.
- Deploy Jamba privately in a VPC or on-premises environment when governance requirements rule out public-only hosting.
- Use the same model family through AI21 Studio or supported cloud-provider routes.
Why It Stands Out
AI21 combines first-party foundation models, agent tooling, and private deployment options in one product surface, with the Jamba family centered on long-context enterprise workloads.
Tradeoffs To Know
- The public pricing surface is usage-based rather than a fixed-seat subscription.
- AI21’s public product line mixes model APIs and the Maestro agent system, so buyers need to confirm which surface matches their workflow.
- Private deployment and higher-touch support are handled through custom plans rather than the self-serve pricing flow.