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Description

Ling 3.0 Flash represents an advanced language model optimized for long-term agent workflows, characterized by swift response times, minimal activation levels, and consistent tool usage. Incorporating a Mixture-of-Experts structure, it boasts a staggering 124 billion parameters in total, with 5.1 billion parameters activated per token, which enhances its capability while maintaining efficient inference. This model features an impressive native context window of 256K tokens, which can be expanded to accommodate up to 1 million tokens, ensuring effective retrieval of information from any part of lengthy contexts. When compared to its predecessor, the original Flash model, Ling 3.0 Flash significantly enhances stability for prolonged tasks, improves the accuracy of tool-calling, better adheres to instructions, and shows greater compatibility with agent harnesses and coding tasks. Additionally, its refined spatial awareness allows it to create grids of physical scenes and evaluate relative positions effectively, while its hybrid reasoning capabilities boost success rates across a range of task complexities. Overall, Ling 3.0 Flash exemplifies a significant leap forward in language modeling technology, ensuring users can achieve superior performance across diverse applications.

Description

NVIDIA Nemotron 3.5 Bolt is a series of efficient AI models developed by NVIDIA for running autonomous agents and conversational applications directly on local hardware. The family consists of Bolt 74B-A9B 24GB and Bolt E4B 4GB, which address different performance and memory requirements. Bolt 74B-A9B uses a mixture-of-experts architecture with 74 billion total parameters and approximately 9 billion active parameters to balance reasoning capabilities with computational efficiency. Native 2-bit quantization enables the model to operate within a 24GB memory footprint on supported NVIDIA systems. Its agentic capabilities include web research, code generation, software debugging, information retrieval, and multistep task execution. The model can be integrated with local AI agent frameworks and development tools to complete assignments without sending application workloads to external inference services. Bolt E4B is optimized for fast conversational responses, multistep interactions, and embedded AI experiences such as virtual assistants and interactive game characters. NVIDIA supports local deployment of the Bolt family across compatible GeForce RTX, RTX PRO, DGX Spark, and Jetson hardware, depending on the model variant. Bolt 74B-A9B is available with open weights through Hugging Face and supports inference tools including llama.cpp, Ollama, LM Studio, Unsloth, and vLLM.

API Access

Has API Yes 

API Access

Has API Yes 

Screenshots View All

Screenshots View All

Integrations

OpenRouter Yes 
Baseten No 
Claude Code Yes 
Hermes Agent Yes 
Hugging Face Transformers No 
Kilo Code Yes 
NVIDIA NIM No 
OpenClaw Yes 
ZenMux Yes 
vLLM No 

Integrations

OpenRouter Yes 
Baseten Yes 
Claude Code No 
Hermes Agent No 
Hugging Face Transformers Yes 
Kilo Code No 
NVIDIA NIM Yes 
OpenClaw No 
ZenMux No 
vLLM Yes 

Pricing Details

No price information available.
Free Trial Yes 
Free Version No 

Pricing Details

Free
Free Trial No 
Free Version Yes 

Deployment

Web-Based Yes 
On-Premises No 
iPhone App No 
iPad App No 
Android App No 
Windows No 
Mac No 
Linux No 
Chromebook No 

Deployment

Web-Based Yes 
On-Premises Yes 
iPhone App No 
iPad App No 
Android App No 
Windows No 
Mac No 
Linux Yes 
Chromebook No 

Customer Support

Business Hours No 
Live Rep (24/7) No 
Online Support Yes 

Customer Support

Business Hours No 
Live Rep (24/7) No 
Online Support No 

Types of Training

Training Docs Yes 
Webinars No 
Live Training (Online) No 
In Person No 

Types of Training

Training Docs Yes 
Webinars No 
Live Training (Online) No 
In Person No 

Vendor Details

Company Name

Ant Group

Founded

2014

Country

China

Website

www.ant-ling.com

Vendor Details

Company Name

NVIDIA

Founded

1993

Country

United States

Website

nvidia.com

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