AI21: Jamba Large 1.7

Jamba Large 1.7 is a text-only model from AI21 with a 256,000-token context window and support for tool use. It does not offer native reasoning or structured output, and its maximum response length is capped at 4,096 tokens. Those constraints make it straightforward to evaluate: it handles long-document tasks and agentic workflows where tool calling matters, but it is not a fit for applications requiring chain-of-thought reasoning or guaranteed schema-conforming responses. On the comparison side, benchmark coverage is thin, with a blended score of 7.1 drawn from a single benchmark, so performance claims should be treated as tentative rather than established. Pricing sits at $2.00 per million input tokens and $8.00 per million output tokens, which is a mid-range rate. Teams processing large volumes of long-context text who already work within AI21's ecosystem may find it worth testing, but buyers prioritizing well-benchmarked models or structured output support should look elsewhere first.