AI21: Jamba Large 1.7
Analysis Summary
Jamba Large 1.7 is AI21's latest large model built on the Jamba hybrid architecture, offering a 256K context window with tool use and function calling. Benchmark results show limited performance across reasoning, coding, and math, with an intelligence index of 10.9 and a coding index of 7.8, placing it in the lower tier of benchmarked models.
The large context window is the model's most practical asset for businesses, enabling long-document processing or extended conversation workflows. However, the instruction-following and agentic scores are also weak, which limits its reliability for complex multi-step tasks. At $2/1M input and $8/1M output, the pricing is steep relative to what the benchmarks suggest it can deliver.
For teams already invested in the AI21 ecosystem or requiring the Jamba architecture's specific throughput characteristics, it may serve niche use cases. For general business adoption, better-benchmarked alternatives at lower cost are available.
Assessed June 6, 2026
Editorial notes
AI21's Jamba Large 1.7 offers a 256K context window with tool use and function calling, but benchmark scores across reasoning, coding, and math are weak, and pricing is high relative to its capability tier.
Rankings consider pricing, capabilities, benchmarks, and real-world applicability and are refreshed as new models launch. Feedback?
Performance Profile
How AI21: Jamba Large 1.7 compares
AI21: Jamba Large 1.7 ranks #299 of 378 AI models we track for overall intelligence, #255 of 315 for coding, #270 of 289 for agentic tasks. Its 256K-token context window is larger than 71% of the models we list. At $2.00 per million input tokens it is cheaper than 16% of comparable models.
About 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..
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 professional 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.
Leaderboard Categories
External Resources
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).
Is AI21: Jamba Large 1.7 good for coding?
On our coding benchmark index, AI21: Jamba Large 1.7 ranks #255 of 315 models, placing it in the broader range of the field for code generation and debugging.
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.
