Jamba2 3B: context, capabilities and where to run it
Prices from official vendor price lists · October 2026
AI21 Labs does not publish a token price for Jamba2 3B, so cost depends on where it is hosted. Recorded here for reasoning.
Capabilities
Context window
256K tokens
Price / mo
API only
Jamba2 3B is an AI model from AI21 Labs. The vendor does not publish a public per-token price, so the cost cells are left empty rather than guessed.
It holds 256K tokens in a single conversation. Capabilities recorded in this rating: text & chat, reasoning, tool calling, multilingual, proprietary API. Access is through the API rather than a consumer subscription.
API priceNot publishedper 1M tokens, in / out
Context256K tokenstokens per conversation
VendorAI21 Labsall models from this vendor
TierUnpricedno public rate card
Compared with alternatives
How Jamba2 3B sits against its neighbours in this rating. Tap a card to open that model.
Good and poor fit
Good fit
- Multi-step analysis, planning and code review, where the first plausible answer is often wrong.
- General text generation and conversation across languages.
Poor fit
- Anything requiring image input — this model does not accept it.
- Work where the vendor does not publish a rate you can budget against.
Related filters
Text & chat234 models for text generation and chat
Reasoning175 models that think before answering
Tool calling172 models that call your functions
MultilingualAll 245 models work beyond English
Proprietary API151 closed-weight, API-only models
AI21 Labs2 models from this vendor
All 245 modelsThe full rating with filters and prices
Frequently asked questions
How much does Jamba2 3B cost?
AI21 Labs does not publish a public per-token rate for this model, so the price cells here are empty rather than estimated.
What is the context window of Jamba2 3B?
256K tokens in a single conversation.
What can Jamba2 3B do?
In this rating it is recorded with: text & chat, reasoning, tool calling, multilingual, proprietary API.
Is Jamba2 3B a good choice?
It depends on the job. See the good-fit and poor-fit lists above, and compare against the neighbouring models before committing.
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