AI21: Jamba Large 1.7
Analysis Summary
AI21's Jamba Large 1.7 is a text model built for long-context use, with a 256K window, tool use, and function calling. Its agentic measurement is stronger than its general reasoning profile, making the model more interesting for controlled multi-step workflows than for broad analytical or creative work.
The supplied results show limited performance across reasoning, coding, long-context reliability, and instruction following. That combination calls for careful orchestration, validation, and narrow task definitions before deployment. At the listed pricing, it is difficult to justify for bulk content or routine automation. Teams should consider it only when its long context and tool integration solve a specific workflow problem better than a cheaper alternative.
Assessed August 9, 2026
Editorial notes
Jamba Large 1.7 offers 256K context and strong measured agentic capability with function calling, but its reasoning, coding, and instruction-following results are modest and its token pricing is premium.
Rankings consider pricing, capabilities, benchmarks, and real-world applicability and are refreshed as new models launch. Feedback?
DFO Verdict
Jamba Large 1.7 offers 256K context and strong measured agentic capability with function calling, but its reasoning, coding, and instruction-following results are modest and its token pricing is premium.
Benchmark scores
Magenta = intelligence · Ink = technical/agentic · Cyan = content & long-context · Grey = community benchmarks. Data: Artificial Analysis, Hugging Face.
5.3 Intelligence Index·7.9 Agentic Index·2.3 Math Index
How AI21: Jamba Large 1.7 compares
AI21: Jamba Large 1.7 ranks #346 of 420 AI models we track for overall intelligence, #117 of 175 for agentic tasks. Its 256K-token context window is larger than 62% of the models we list. At $2.00 per million input tokens it is cheaper than 18% of comparable models.
Dark bar = input · light bar = output, scaled to the priciest peer.
1M tokens ≈ 8 full-length novels or ~2,500 pages of business documents in a single request.
Strongest on value. The pulled-in technical corner is the trade-off, and if the shape matters more than the price, this is your model.
Compare shapes side-by-side →Pricing
| Token Type | Cost per 1M tokens | Cost per 1K tokens |
|---|---|---|
| Input | $2.00 | $0.002000 |
| Output | $8.00 | $0.008000 |
What would AI21: Jamba Large 1.7 cost your business?
Pick the job that looks most like yours, then fine-tune with the sliders. Estimates update live.
A website chatbot handling around 100 customer conversations a day, a few short messages each.
Full calculator with 688 models → Price Calculator
These numbers get smaller with the right architecture.
We route routine calls to cheap models and save AI21: Jamba Large 1.7 for the hard ones. Most clients cut their estimate by 60-80%.
Talk to our teamAbout AI21: Jamba Large 1.7
Jamba Large 1.7 is the latest model in the Jamba open family, offering improvements in grounding, instruction-following, and overall efficiency. Built on a hybrid SSM-Transformer architecture with a 256K context..
Frequently asked questions about AI21: Jamba Large 1.7
How much does AI21: Jamba Large 1.7 cost?
AI21: Jamba Large 1.7 costs $2.00 per million input tokens and $8.00 per million output tokens.
What is the context window of AI21: Jamba Large 1.7?
AI21: Jamba Large 1.7 has a context window of 256,000 tokens (256K).
What can AI21: Jamba Large 1.7 do?
AI21: Jamba Large 1.7 supports tool use and function calling.
Who created AI21: Jamba Large 1.7?
AI21: Jamba Large 1.7 is developed by AI21 and was released on August 8, 2025.
