AI21: Jamba Large 1.7
Analysis Summary
AI21: Jamba Large 1.7 sits in the Efficient tier on our leaderboard, ranked #246 of 525 published models on overall intelligence. At $2.00 input and $8.00 output per 1M tokens, it is among the most expensive on the market. It offers a generous context window for extended reasoning and code review and supports tool use and function calling.
Editorial notes
AI21's Jamba Large 1.7 offers a large 256K context window and supports tool use and function calling, but its benchmark performance is limited across reasoning, coding, and agentic tasks, placing it well below the competitive tier for demanding business applications.
Assessed April 23, 2026
Rankings consider pricing, capabilities, benchmarks, and real-world applicability and are refreshed as new models launch. Feedback?
Performance Profile
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..
Capabilities
Performance Indices
Source: Artificial Analysis
Benchmark Scores
Intelligence
Technical
Content
Benchmark data from Artificial Analysis and Hugging Face
How does AI21: Jamba Large 1.7 stack up?
Compare side-by-side with other efficient models.
Model Information
| OpenRouter ID |
ai21/jamba-large-1.7
|
| Provider | ai21 |
| Release Date | August 8, 2025 |
| Context Length | 256,000 tokens |
| Max Completion | 4,096 tokens |
| Status | Active |
Pricing
| Token Type | Cost per 1M tokens | Cost per 1K tokens |
|---|---|---|
| Input | $2.00 | $0.002000 |
| Output | $8.00 | $0.008000 |
Live Performance
Live endpoint metrics — refreshed every 30 minutes.
