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ease
features
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support

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Description

Jurassic-1 offers two model sizes, with the Jumbo variant being the largest at 178 billion parameters, representing the pinnacle of complexity in language models released for developers. Currently, AI21 Studio is in an open beta phase, inviting users to register and begin exploring Jurassic-1 through an accessible API and an interactive web platform. At AI21 Labs, our goal is to revolutionize how people engage with reading and writing by integrating machines as cognitive collaborators, a vision that requires collective effort to realize. Our exploration of language models dates back to what we refer to as our Mesozoic Era (2017 😉). Building upon this foundational research, Jurassic-1 marks the inaugural series of models we are now offering for broad public application. As we move forward, we are excited to see how users will leverage these advancements in their own creative processes.

Description

Qwen3.5 represents a major advancement in open-weight multimodal AI models, engineered to function as a native vision-language agent system. Its flagship model, Qwen3.5-397B-A17B, leverages a hybrid architecture that fuses Gated DeltaNet linear attention with a high-sparsity mixture-of-experts framework, allowing only 17 billion parameters to activate during inference for improved speed and cost efficiency. Despite its sparse activation, the full 397-billion-parameter model achieves competitive performance across reasoning, coding, multilingual benchmarks, and complex agent evaluations. The hosted Qwen3.5-Plus version supports a one-million-token context window and includes built-in tool use for search, code interpretation, and adaptive reasoning. The model significantly expands multilingual coverage to 201 languages and dialects while improving encoding efficiency with a larger vocabulary. Native multimodal training enables strong performance in image understanding, video processing, document analysis, and spatial reasoning tasks. Its infrastructure includes FP8 precision pipelines and heterogeneous parallelism to boost throughput and reduce memory consumption. Reinforcement learning at scale enhances multi-step planning and general agent behavior across text and multimodal environments. Overall, Qwen3.5 positions itself as a high-efficiency foundation for autonomous digital agents capable of reasoning, searching, coding, and interacting with complex environments.

API Access

Has API

API Access

Has API

Screenshots View All

Screenshots View All

Integrations

APIFree
Alibaba Cloud Model Studio
Claw Code
Entry Point AI
Ollama
OpenClaw
Qwen
Qwen3.5-Plus
Together AI
ZooClaw

Integrations

APIFree
Alibaba Cloud Model Studio
Claw Code
Entry Point AI
Ollama
OpenClaw
Qwen
Qwen3.5-Plus
Together AI
ZooClaw

Pricing Details

No price information available.
Free Trial
Free Version

Pricing Details

Free
Free Trial
Free Version

Deployment

Web-Based
On-Premises
iPhone App
iPad App
Android App
Windows
Mac
Linux
Chromebook

Deployment

Web-Based
On-Premises
iPhone App
iPad App
Android App
Windows
Mac
Linux
Chromebook

Customer Support

Business Hours
Live Rep (24/7)
Online Support

Customer Support

Business Hours
Live Rep (24/7)
Online Support

Types of Training

Training Docs
Webinars
Live Training (Online)
In Person

Types of Training

Training Docs
Webinars
Live Training (Online)
In Person

Vendor Details

Company Name

AI21 Labs

Founded

2017

Country

Israel

Website

www.ai21.com/blog/announcing-ai21-studio-and-jurassic-1

Vendor Details

Company Name

Alibaba

Founded

1999

Country

China

Website

qwen.ai

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