Intelligence
3 scoreAI21 Labs · Flagships Analysis
Jamba 1.5 Mini
Intelligence, Performance & Price Analysis
Canonical slug: jamba-1-5-mini · Canonical model registry at build time
Input Price
$0.20 / 1M tokensOutput Price
$0.40 / 1M tokensExecutive Assessment
Routing Verdict & Tradeoffs
Budget-friendly / task-specific model
Jamba 1.5 Mini scores 3 (estimated) on the Artificial Analysis Intelligence Index, placing it at the lower end among other open weight non-reasoning models of similar size (median: 7). Jamba 1.5 Mini costs $0.20 per 1M input tokens (very competitive, median: $0.53) and $0.40 per 1M output tokens (very competitive, median: $1.05), based on the median across providers serving the model.
Best for high-volume, simple, or domain-specific tasks where cost or speed matters more than deep reasoning.
Task Fit Assessment
| Workload | Rating | Notes |
|---|---|---|
| Complex reasoning & agentic workflows | suboptimal | Intelligence score 3 is better suited for straightforward tasks than multi-step reasoning. |
| Cost-sensitive pipelines | optimal | Output pricing at $0.40 is very competitive for high-volume workloads. |
Cost Pressure Analysis
Low
Pricing is competitive — input $0.20, output $0.40. Suitable for sustained production use.
Technical Specifications
Architecture and Limits
| Specification | Value | Validation Authority |
|---|---|---|
| Model type | Open weights | inferred |
| Reasoning | No | faq |
| Input modalities | Jamba 1.5 Mini supports text only input. | faq |
| Output modalities | Jamba 1.5 Mini supports text only output. | faq |
| Context window | 260k tokens | faq |
| Open weights / source | Yes, Jamba 1.5 Mini is open weights. The model weights are publicly available and can be downloaded for self-hosting. | faq |
| Parameters | Jamba 1.5 Mini has 52 billion parameters (12 billion active). | faq |
| Active parameters | Jamba 1.5 Mini is a Mixture of Experts (MoE) model with 52 billion total parameters, but only 12 billion active parameters are used during inference. | faq |
| License | Jamba 1.5 Mini is released under the Jamba Open Model License Agreement license. This license allows commercial use. | faq |
| Knowledge cutoff | Jamba 1.5 Mini has a knowledge cutoff of March 2024. The model's training data includes information up to this date. | faq |
| API availability | Yes, Jamba 1.5 Mini is available via API through 1 provider. | faq |
Evidence charts
Profile visualizations
Charts are the same canonical evidence cards previously published for this slug, contained inside the D18D page grammar.
Artificial Analysis Intelligence Index by Open Weights / Proprietary
Artificial Analysis Intelligence Index v4.1 incorporates 9 evaluations: GDPval-AA v2, 𝜏³-Banking, Terminal-Bench v2.1, SciCode, Humanity's Last Exam, GPQA Diamond, CritPt, AA-Omniscience, AA-LCR · Evaluation results measured independently by Artificial Analysis
Chart source and provenance are listed in Methodology & sources below.
- Source:
- Published benchmark dataset
- Retrieval date:
- 2026-07-08
- Methodology:
- Independent test run by Artificial Analysis on dedicated hardware.
Artificial Analysis Intelligence Index
Artificial Analysis Intelligence Index v4.1 incorporates 9 evaluations: GDPval-AA v2, 𝜏³-Banking, Terminal-Bench v2.1, SciCode, Humanity's Last Exam, GPQA Diamond, CritPt, AA-Omniscience, AA-LCR · Evaluation results measured independently by Artificial Analysis
Chart source and provenance are listed in Methodology & sources below.
- Source:
- Published benchmark dataset
- Retrieval date:
- 2026-07-08
- Methodology:
- Independent test run by Artificial Analysis on dedicated hardware.
Artificial Analysis Openness Index: Score
Openness Index assesses model openness on a 0 to 100 normalized scale (higher is more open) · Evaluation results measured independently by Artificial Analysis
Chart source and provenance are listed in Methodology & sources below.
- Source:
- Published benchmark dataset
- Retrieval date:
- 2026-07-08
- Methodology:
- Independent test run by Artificial Analysis on dedicated hardware.
Intelligence
Artificial Analysis Intelligence Index · Higher is better · Evaluation results measured independently by Artificial Analysis
Chart source and provenance are listed in Methodology & sources below.
- Source:
- Published benchmark dataset
- Retrieval date:
- 2026-07-08
- Methodology:
- Independent test run by Artificial Analysis on dedicated hardware.
Speed
Output tokens per second · Higher is better · Evaluation results measured independently by Artificial Analysis
Chart source and provenance are listed in Methodology & sources below.
- Source:
- Published benchmark dataset
- Retrieval date:
- 2026-07-08
- Methodology:
- Independent test run by Artificial Analysis on dedicated hardware.
Context Window
Context window: tokens limit · Higher is better · Evaluation results measured independently by Artificial Analysis
Chart source and provenance are listed in Methodology & sources below.
- Source:
- Published benchmark dataset
- Retrieval date:
- 2026-07-08
- Methodology:
- Independent test run by Artificial Analysis on dedicated hardware.
Cost per Intelligence Index Task
Weighted average cost (USD) per Artificial Analysis Intelligence Index task, segmented by token type. Lower is better · Evaluation results measured independently by Artificial Analysis
Chart source and provenance are listed in Methodology & sources below.
- Source:
- Published benchmark dataset
- Retrieval date:
- 2026-07-08
- Methodology:
- Independent test run by Artificial Analysis on dedicated hardware.
Cost per Task
Weighted average cost (USD) per Intelligence Index task · Lower is better · Evaluation results measured independently by Artificial Analysis
Chart source and provenance are listed in Methodology & sources below.
- Source:
- Published benchmark dataset
- Retrieval date:
- 2026-07-08
- Methodology:
- Independent test run by Artificial Analysis on dedicated hardware.
Cost to Run Artificial Analysis Intelligence Index
Cost (USD) to run all evaluations in the Artificial Analysis Intelligence Index · Evaluation results measured independently by Artificial Analysis
Chart source and provenance are listed in Methodology & sources below.
- Source:
- Published benchmark dataset
- Retrieval date:
- 2026-07-08
- Methodology:
- Independent test run by Artificial Analysis on dedicated hardware.
Pricing: Cache Hit, Input, and Output
Price (USD per M Tokens) · Evaluation results measured independently by Artificial Analysis
Chart source and provenance are listed in Methodology & sources below.
- Source:
- Published benchmark dataset
- Retrieval date:
- 2026-07-08
- Methodology:
- Independent test run by Artificial Analysis on dedicated hardware.
Model Size: Total and Active Parameters
Comparison between total model parameters and parameters active during inference · Evaluation results measured independently by Artificial Analysis
Chart source and provenance are listed in Methodology & sources below.
- Source:
- Published benchmark dataset
- Retrieval date:
- 2026-07-08
- Methodology:
- Independent test run by Artificial Analysis on dedicated hardware.
Methodology
Methodology & Provenance
This page is rendered from the normalized profile and page JSON for Jamba 1.5 Mini.
Benchmark values are preserved as normalized; only layout, disclosure ordering, and typography are adjusted for readability.
Frequently Asked Questions
Model FAQs & Technical Disclosures
Jamba 1.5 Mini was released on August 22, 2024.
Jamba 1.5 Mini was created by AI21 Labs.
Jamba 1.5 Mini scores 3 (estimated) on the Artificial Analysis Intelligence Index, placing it at the lower end among other open weight non-reasoning models of similar size (median: 7).
Jamba 1.5 Mini costs $0.20 per 1M input tokens (very competitive, median: $0.53) and $0.40 per 1M output tokens (very competitive, median: $1.05), based on the median across providers serving the model.
Jamba 1.5 Mini costs $0.20 per 1M input tokens and $0.40 per 1M output tokens (based on the median across providers serving the model). For a blended rate (7:2:1 cache hit/input/output ratio), this is $0.22 per 1M tokens. Pricing may vary by provider.
No, Jamba 1.5 Mini is not a reasoning model. It provides direct responses without extended chain-of-thought reasoning.
Jamba 1.5 Mini supports text only input.
Jamba 1.5 Mini supports text only output.
No, Jamba 1.5 Mini does not support image input. It can only process text.
No, Jamba 1.5 Mini is not multimodal. It only supports text only input.
Jamba 1.5 Mini has a context window of 260k tokens. This determines how much text and conversation history the model can process in a single request.
Yes, Jamba 1.5 Mini is open weights. The model weights are publicly available and can be downloaded for self-hosting.
Jamba 1.5 Mini has 52 billion parameters (12 billion active).
Jamba 1.5 Mini is a Mixture of Experts (MoE) model with 52 billion total parameters, but only 12 billion active parameters are used during inference.
Jamba 1.5 Mini is released under the Jamba Open Model License Agreement license. This license allows commercial use.
Jamba 1.5 Mini achieves a score of 3 on the Artificial Analysis Intelligence Index. This composite benchmark evaluates models across reasoning, knowledge, mathematics, and coding.
Jamba 1.5 Mini has a knowledge cutoff of March 2024. The model's training data includes information up to this date.
Yes, Jamba 1.5 Mini is available via API through 1 provider.
Jamba 1.5 Mini is available through 1 API provider.