AI21: Jamba Large 1.7
Analysis Summary
AI21: Jamba Large 1.7 sits in the Efficient tier on our leaderboard, ranked #263 of 561 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
Jamba Large 1.7 from AI21 brings a 256K context window and tool use, but benchmark scores are weak across reasoning, coding, and agentic tasks, and pricing at $2/$8 per million tokens is hard to justify.
Assessed May 14, 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.
