FlagshipAI21

Jamba Large 1.7

Jamba Large 1.7 is AI21's flagship text generation model with a 256K token context window, designed for long-form content and complex reasoning tasks.

Context 256K
Tier Flagship
Input from
$2.00 / 1M tokens
across 1 provider

API Pricing

ProviderInput / 1MOutput / 1MUpdated
$2.00$8.004/14/2026

Prices updated daily. Last check: 4/14/2026

Model Details

General

Creator
AI21
Family
Jamba
Tier
Flagship
Context Window
256K
Modalities
Text

Capabilities

Tool Calling
No
Open Source
No

Strengths & Limitations

  • 256K token context window supports extensive document processing
  • Flagship-tier model offering AI21's most advanced capabilities
  • Specialized text focus allows optimization for language tasks
  • Large context enables comprehensive document analysis and summarization
  • Suitable for complex reasoning tasks requiring extended context
  • Maintained coherence across long-form content generation
  • No tool calling or function execution capabilities
  • Text-only modality limits multimodal applications
  • Proprietary model with no open source availability
  • No image, audio, or video processing support
  • Limited integration options compared to tool-enabled models

Key Features

256K token context window
Text-only input and output
Long-form content generation
Extended conversation memory
Document analysis capabilities
Complex reasoning support
Proprietary model architecture
Flagship-tier performance

About Jamba Large 1.7

Jamba Large 1.7 is AI21's flagship text generation model, representing the company's most capable offering in the Jamba family. As a proprietary large language model, it positions AI21 alongside other major AI providers in the competitive landscape of high-performance language models. The model supports a substantial 256K token context window, enabling it to process and generate lengthy documents while maintaining coherence across extended conversations. Jamba Large 1.7 focuses exclusively on text modalities, allowing it to specialize in natural language understanding and generation tasks. The model is designed to handle complex reasoning, analysis, and content creation workflows that require sustained attention over long contexts. Jamba Large 1.7 serves users who need reliable text generation capabilities for demanding applications such as document analysis, content creation, and multi-turn conversations. While it operates in a competitive field alongside models from OpenAI, Anthropic, and Google, its large context window makes it particularly suitable for tasks requiring extensive context retention and processing of lengthy source materials.

Common Use Cases

Jamba Large 1.7 excels in applications requiring extensive context processing and sophisticated text generation. Its 256K token context window makes it particularly valuable for document analysis, research synthesis, and content creation tasks that involve processing lengthy source materials. The model is well-suited for legal document review, academic research assistance, comprehensive report generation, and multi-chapter content creation. Organizations needing to analyze contracts, research papers, or technical documentation can leverage its large context capacity. The model also serves educational applications, creative writing projects, and business intelligence tasks where maintaining context across extensive conversations or documents is critical.

Frequently Asked Questions

How much does Jamba Large 1.7 cost per million tokens?

Jamba Large 1.7 pricing varies by provider and may include different rates for input and output tokens. Check the pricing table above for current rates across all available providers offering this model.

What is Jamba Large 1.7 best used for?

Jamba Large 1.7 is optimized for tasks requiring extensive context processing and sophisticated text generation, including document analysis, research synthesis, long-form content creation, and complex reasoning tasks that benefit from its 256K token context window.

Does Jamba Large 1.7 support function calling or multimodal inputs?

No, Jamba Large 1.7 is focused exclusively on text processing and does not support tool calling, function execution, or multimodal inputs like images or audio. It specializes in text-only applications requiring large context windows and advanced language understanding.