Jamba 1.5 Mini API

Jamba 1.5 Mini is a powerful language model designed for efficient instruction-following tasks.
Output

Overview

AI21: Jamba 1.5 Mini Description

Basic Information

  • Model Name: Jamba 1.5 Mini
  • Developer/Creator: AI21 Labs
  • Release Date: August 2024
  • Version: 1.0
  • Model Type: Large Language Model (LLM)
Overview:

Jamba 1.5 Mini is a state-of-the-art hybrid SSM-Transformer model designed for high efficiency and performance in instruction-following tasks. It excels in processing long contexts and generating high-quality outputs, making it suitable for a variety of applications in natural language processing.

Key Features:
  • Up to 2.5 times faster inference than comparable models.
  • Handles long context lengths of up to 256,000 tokens.
  • Supports multiple languages, including English, Spanish, French, Portuguese, Italian, Dutch, German, Arabic, and Hebrew.
  • Optimized for business applications with features like function calling and structured output (JSON).
  • Utilizes the innovative ExpertsInt8 quantization technique for efficient deployment on a single 80GB GPU.
Intended Use:

The model is designed for applications such as chatbots, customer service automation, content generation, and any scenario requiring efficient processing of extensive information.

Language Support:

Jamba 1.5 Mini supports multiple languages, enhancing its usability in global contexts.

Technical Details

Architecture:

Jamba 1.5 Mini is built on a hybrid SSM-Transformer architecture that combines Transformer layers with Mamba layers and a mixture-of-experts (MoE) module. Key architectural details include:

  • Active Parameters: 12 billion
  • Total Parameters: Approximately 52 billion
  • Context Length: Up to 256K tokens
  • Attention Heads: Configurable based on the model's architecture
Training Data:

The model was trained using a diverse dataset that emphasizes instruction-following capabilities and conversational contexts.

  • Data Source and Size: The training dataset includes a wide range of texts from various domains to ensure robust language understanding.
  • Knowledge Cutoff: March 5, 2024
  • Diversity and Bias: The training data was curated to minimize bias while maximizing diversity in topics and languages, which enhances the model's robustness across different contexts.
Performance Metrics:

Jamba 1.5 Mini has shown competitive performance across various benchmarks:

Comparison to Other Models

Usage

Code Samples:

The model is available on the AI/ML API platform as "Jamba 1.5 Mini" .

API Documentation:

Detailed API Documentation is available here.

Ethical Guidelines

AI21 Labs emphasizes ethical considerations in AI development by promoting transparency regarding the model's capabilities and limitations. They encourage responsible usage to prevent misuse or harmful applications.

Licensing

Jamba 1.5 Mini is released under the Jamba Open Model License, allowing both commercial and non-commercial usage rights while ensuring compliance with ethical standards.

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Get Jamba 1.5 Mini API here.

Use cases

  • enterprise-grade chatbots and virtual assistants requiring extensive context handling
  • professional document processing, summarization, and analysis workflows
  • intelligent content creation and editing tools
  • customer support automation and knowledge base querying
  • coding assistant tools and developer productivity enhancement
  • educational platforms for interactive tutoring and explanation
  • data extraction and structured information generation for finance, healthcare, legal sectors

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How to use Jamba 1.5 Mini API

Install any OpenAI-compatible SDK, point it at api.aimlapi.com/v1, and set the model to .

OpenAI-compatible — swap the base URL and it works with your existing SDK.

Jamba 1.5 Mini API Pricing

TypePrice
Input
Output

Jamba 1.5 Mini Benchmarks

BenchmarkScoreWhat it measuresSourceRetrieved
Intelligence
5.2
Composite score across standardised reasoning, knowledge and problem-solving evaluations, measured independently by Artificial AnalysisSourceSeptember 12, 2026
MMLU
69.7
Multi-discipline knowledge across 57 school and professional subjectsSourceSeptember 22, 2026
MMLU-Pro
42.5
Multi-discipline knowledge + reasoning (harder MMLU)SourceSeptember 22, 2026
GSM8K
75.8
Grade-school maths word problems requiring multi-step arithmeticSourceSeptember 22, 2026

Frequently asked questions

Yes, Jamba 1.5 Mini can stream responses as they are generated.

Yes, Jamba 1.5 Mini supports both function calling and structured outputs.

Jamba 1.5 Mini was built by AI21 Labs.

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