AI21: Jamba Large 1.7
AI21 Labs • LLM
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...
Specifications
Context Window
256K tokens
Input Price/1M
$2.00
Output Price/1M
$8.00
Parameters
—
Speed
57 tok/s
Latency (TTFT)
916ms
Max Output
4K tokens
Benchmarks
AI21: Jamba Large 1.7 results on the main AI model evaluation benchmarks. Higher scores indicate better performance.
Agentic
| Benchmark | Score | Maximum | Methodology |
|---|---|---|---|
| Terminal-Bench Hard | 2.0 | 100.0 | — |
Coding
| Benchmark | Score | Maximum | Methodology |
|---|---|---|---|
| SciCode | 19.0 | 100.0 | — |
| LiveCodeBench | 18.0 | 100.0 | — |
| AA Coding Index | 7.8 | 100.0 | — |
Knowledge
| Benchmark | Score | Maximum | Methodology |
|---|---|---|---|
| MMLU-Pro | 58.0 | 100.0 | — |
Long Context
| Benchmark | Score | Maximum | Methodology |
|---|---|---|---|
| AA-LCR | 17.0 | 100.0 | — |
Math
| Benchmark | Score | Maximum | Methodology |
|---|---|---|---|
| AA Math Index | 2.3 | 100.0 | — |
| AIME 2025 | 2.0 | 100.0 | — |
overall
| Benchmark | Score | Maximum | Methodology |
|---|---|---|---|
| AA Intelligence Index | 10.9 | 100.0 | — |
Reasoning
| Benchmark | Score | Maximum | Methodology |
|---|---|---|---|
| GPQA Diamond | 39.0 | 100.0 | — |
| IFBench | 35.0 | 100.0 | — |
| HLE | 4.0 | 100.0 | — |
Tool Use
| Benchmark | Score | Maximum | Methodology |
|---|---|---|---|
| Tau²-Bench | 13.0 | 100.0 | — |
Information
- Release date
- July 07, 2025
- Tool Calling
- ✅ Supported
- Vision
- ❌ Not supported
- Audio
- ❌ Not supported
Full Analysis: AI21: Jamba Large 1.7
What is AI21: Jamba Large 1.7?
AI21: Jamba Large 1.7 is an AI model developed by AI21 Labs, classified as a large language model (LLM). It focuses on text processing and natural language generation. As an open source model, it is available for download, customization, and on-premises deployment. With a context window of 256K tokens, it is suitable for processing long documents such as contracts, books, and complete codebases.
Pricing & Costs in 2026
AI21: Jamba Large 1.7 is usage-based, priced at $2/1M input tokens and $8/1M output tokens. For context: 1 million tokens is approximately 750,000 words, or about 10 average-length books. The mid-range pricing balances quality and cost for most professional applications.
Benchmarks & Performance
AI21: Jamba Large 1.7 was evaluated on 13 different benchmarks, covering categories like Agentic, Coding, Knowledge, Long Context, Math, overall, Reasoning, Tool Use. Results show moderate performance across available evaluations.
It's important to note that benchmarks measure specific aspects and don't capture the full user experience. Factors like instruction adherence, behavior in long conversations, and real-world task quality vary significantly between models and aren't always reflected in standard scores.
Recommended Use Cases
AI21: Jamba Large 1.7 is suitable for a wide range of AI applications: long document analysis (contracts, legal proceedings, codebases), automation with tool calling (API integration, databases, external systems), text generation, summarization, translation, and general assistance.
Comparison with Alternatives
In the 2026 AI model ecosystem, AI21: Jamba Large 1.7 competes directly with similarly capable models. AI21 Labs competes in this segment against OpenAI, Anthropic, Google, and Meta. The choice between models depends on the specific use case, budget, latency requirements, and need for features like multimodality and tool calling.
For a detailed side-by-side comparison, use our comparison tool or check the overall model ranking.
Frequently Asked Questions
What is 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...
How much does AI21: Jamba Large 1.7 cost?
AI21: Jamba Large 1.7 costs $2/1M input tokens and $8/1M output tokens. For heavy usage (e.g., a chatbot handling 100k messages/month), costs can range from $10 to $1,000 depending on volume.
How does AI21: Jamba Large 1.7 compare with other models?
In available benchmarks, AI21: Jamba Large 1.7 scored: Terminal-Bench Hard: 2/100, SciCode: 19/100, LiveCodeBench: 18/100. See the full table above for a detailed comparison.
Is AI21: Jamba Large 1.7 open source?
Yes, AI21: Jamba Large 1.7 is an open source model. You can deploy it on-premises, customize it via fine-tuning, and maintain full control over your data. Check the official repository for the specific license.
What is AI21: Jamba Large 1.7 best for?
AI21: Jamba Large 1.7 excels at general-purpose language tasks. With its large context window, it handles long documents, codebases, and extended conversations. It supports tool calling for API integrations and automation.
Last updated: June 01, 2026 • View methodology →