Specifications
Context Window
—
Input Price/1M
$2.00
Output Price/1M
$8.00
Parameters
—
Speed
54 tok/s
Latency (TTFT)
837ms
Benchmarks
Jamba 1.6 Large results on the main AI model evaluation benchmarks. Higher scores indicate better performance.
Coding
| Benchmark | Score | Maximum | Methodology |
|---|---|---|---|
| SciCode | 18.0 | 100.0 | — |
| LiveCodeBench | 17.0 | 100.0 | Artificial Analysis official API |
Knowledge
| Benchmark | Score | Maximum | Methodology |
|---|---|---|---|
| MMLU-Pro | 56.0 | 100.0 | — |
Math
| Benchmark | Score | Maximum | Methodology |
|---|---|---|---|
| MATH-500 | 58.0 | 100.0 | Artificial Analysis official API |
overall
| Benchmark | Score | Maximum | Methodology |
|---|---|---|---|
| AA Intelligence Index | 10.6 | 100.0 | Artificial Analysis official API |
Reasoning
| Benchmark | Score | Maximum | Methodology |
|---|---|---|---|
| MMLU Pro | 56.5 | 100.0 | Artificial Analysis official API |
| GPQA Diamond | 39.0 | 100.0 | Artificial Analysis official API |
| HLE | 4.0 | 100.0 | — |
Information
- Release date
- March 06, 2025
- Tool Calling
- ❌ Not supported
- Vision
- ❌ Not supported
- Audio
- ❌ Not supported
Full Analysis: Jamba 1.6 Large
What is Jamba 1.6 Large?
Jamba 1.6 Large is an AI model developed by AI21 Labs, classified as a text model. It focuses on text processing and natural language generation. As a proprietary model, it is available via AI21 Labs's cloud API.
Pricing & Costs in 2026
Jamba 1.6 Large 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
Jamba 1.6 Large was evaluated on 8 different benchmarks, covering categories like Coding, Knowledge, Math, overall, Reasoning. 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
Jamba 1.6 Large specializes in text, offering advanced capabilities for creating and processing text content.
Comparison with Alternatives
In the 2026 AI model ecosystem, Jamba 1.6 Large 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 Jamba 1.6 Large?
Jamba 1.6 Large is an AI model developed by AI21 Labs. It is a text model.
How much does Jamba 1.6 Large cost?
Jamba 1.6 Large 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 Jamba 1.6 Large compare with other models?
In available benchmarks, Jamba 1.6 Large scored: SciCode: 18/100, LiveCodeBench: 17/100, MMLU-Pro: 56/100. See the full table above for a detailed comparison.
Is Jamba 1.6 Large open source?
No, Jamba 1.6 Large is a proprietary model from AI21 Labs. It is available via cloud API. For open source alternatives, check our open source model ranking.
What is Jamba 1.6 Large best for?
Jamba 1.6 Large excels at general-purpose language tasks.
Last updated: June 01, 2026 • View methodology →