Jamba 1.5 Large
Intelligence
10.7
#426/523
Coding
—
Math
—
Speed
—
Pricing
$2.00 / $8.00
per 1M tokens (in/out)
State-of-the-art hybrid SSM-Transformer instruction following foundation model, offering superior long context handling, speed, and quality.
Jamba 1.5 Large is AI21 Labs’ latest model designed for various natural language processing tasks. It boasts an Intelligence Index of 10.7, making it suitable for applications requiring advanced understanding of language. The model is priced at $2 per million input tokens and $8 per million output tokens, targeting professional users.
When to Use Jamba 1.5 Large
✓ Best For
- Natural language understanding tasks.
- Content generation and summarization.
- Conversational AI applications.
✗ Not Ideal For
- High-speed processing needs due to unspecified speed metrics.
- Mathematical computations, as specific indices are not available.
How Jamba 1.5 Large Compares
Intelligence Index · Higher is better
IBMAlibabaAI21 LabsDeepSeekAllen Institute for AI
Benchmark Profile
Intelligence · Coding · Math
Intelligence
Coding
Math
All Benchmark Scores (14)
| Benchmark | Score | |
|---|---|---|
| Intelligence Index | 10.7 | |
| MMLU-Pro | 572% | |
| GPQA | 427% | |
| LiveCodeBench | 143% | |
| HLE | 4% | |
| SciCode | 16.3% | |
| AIME | 4.7% | |
| MATH 500 | 60.6% | |
| ARC-C | 93% | |
| Arena Hard | 0.7 | |
| GSM8k | 87% | |
| MMLU | 81.2% | |
| TruthfulQA | 58.3% | |
| Wild Bench | 48.5% |
Data: Artificial Analysis · Updated: April 2, 2026
Frequently Asked Questions (15)
When was Jamba 1.5 Large released?
Jamba 1.5 Large was released on August 22, 2024.
Who created Jamba 1.5 Large?
Jamba 1.5 Large was created by AI21 Labs.
How intelligent is Jamba 1.5 Large?
Jamba 1.5 Large scores 11 (estimated) on the Artificial Analysis Intelligence Index, placing it at the lower end among other open weight non-reasoning models of similar size (median: 22).
How much does Jamba 1.5 Large cost?
Jamba 1.5 Large costs $2.00 per 1M input tokens (at the higher end, median: $0.60) and $8.00 per 1M output tokens (at the higher end, median: $2.33), based on the median across providers serving the model.
What is Jamba 1.5 Large API pricing?
Jamba 1.5 Large costs $2.00 per 1M input tokens and $8.00 per 1M output tokens (based on the median across providers serving the model). For a blended rate (3:1 input to output ratio), this is $3.50 per 1M tokens. Pricing may vary by provider.
How verbose is Jamba 1.5 Large?
When evaluated on the Intelligence Index, Jamba 1.5 Large generated 1.3M output tokens, which is very competitive compared to other open weight non-reasoning models of similar size (median: 8.1M).
Is Jamba 1.5 Large a reasoning model?
No, Jamba 1.5 Large is not a reasoning model. It provides direct responses without extended chain-of-thought reasoning.
What input modalities does Jamba 1.5 Large support?
Jamba 1.5 Large supports text only input.
What output modalities does Jamba 1.5 Large support?
Jamba 1.5 Large supports text only output.
Can Jamba 1.5 Large process images?
No, Jamba 1.5 Large does not support image input. It can only process text.
Is Jamba 1.5 Large multimodal?
No, Jamba 1.5 Large is not multimodal. It only supports text only input.
What is the context window of Jamba 1.5 Large?
Jamba 1.5 Large has a context window of 260k tokens. This determines how much text and conversation history the model can process in a single request.
Is Jamba 1.5 Large open source?
Yes, Jamba 1.5 Large is open weights. The model weights are publicly available and can be downloaded for self-hosting.
How many parameters does Jamba 1.5 Large have?
Jamba 1.5 Large has 398 billion parameters (94 billion active).
What are the active parameters of Jamba 1.5 Large?
Jamba 1.5 Large is a Mixture of Experts (MoE) model with 398 billion total parameters, but only 94 billion active parameters are used during inference.
