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What is Step 3.5 Flash?

Step 3.5 Flash represents a state-of-the-art open-source foundational language model crafted for sophisticated reasoning and agent-like functionality, prioritizing efficiency; it employs a sparse Mixture of Experts (MoE) framework that activates roughly 11 billion of its nearly 196 billion parameters for each token, which ensures both dense intelligence and rapid responsiveness. The architecture includes a 3-way Multi-Token Prediction (MTP-3) system, enabling the generation of hundreds of tokens per second and supporting intricate multi-step reasoning and task execution, while efficiently handling extensive contexts through a hybrid sliding window attention technique that reduces computational stress on large datasets or codebases. Its remarkable capabilities in reasoning, coding, and agentic tasks often rival or exceed those of much larger proprietary models, further enhanced by a scalable reinforcement learning mechanism that promotes ongoing self-improvement. This innovative design not only highlights Step 3.5 Flash's effectiveness but also positions it as a transformative force in the domain of AI language models, indicating its vast potential across a plethora of applications. As such, it stands as a testament to the advancements in AI technology, paving the way for future developments.

What is Qwen3.8-2.4T-A95B?

Qwen3.8-2.4T-A95B emerges as the largest open model in the Qwen3.8 series, presenting advanced Qwen-Max-class capabilities in a format that is accessible to the public. Built on the robust foundation of Qwen3.5, this model offers marked improvements in performance across various domains, including coding, professional applications, research, and complex, extended agentic tasks, underscoring its ability to reliably execute intricate, multi-step workflows to completion. With its innovative mixture-of-experts architecture, it features a remarkable total of 2.4 trillion parameters, of which 95 billion are activated, utilizing 512 experts and allowing for simultaneous engagement of 10 routed experts alongside one shared expert. The model supports a native context length of 262,144 tokens, extendable to about 1.01 million tokens, thereby enabling considerable adaptability for diverse applications. Additionally, enhancements in agent execution, such as superior autonomous planning and improved responsiveness to environmental cues, enhance its overall efficiency. Its extensive compatibility with popular agent frameworks and development tools further aids in smooth integration into current systems, making it an appealing option for both developers and researchers. This versatility is particularly beneficial for those seeking to leverage advanced AI capabilities in their projects.

Media

Media

Integrations Supported

Hugging Face
ModelScope
GitHub
arXiv

Integrations Supported

Hugging Face
ModelScope
Alibaba Cloud
Alibaba Cloud Model Studio
Cherry Studio
ClinePass
Hermes Agent
Model Context Protocol (MCP)
Novita AI
Odysseus
OfoxAI
Ollama
Python
Qwen
Qwen Code
Qwen Studio
QwenCloud
QwenWork

API Availability

Has API

API Availability

Has API

Pricing Information

Free
Free Version

Pricing Information

Pricing not provided

Supported Platforms

SaaS
Android
iPhone
iPad

Supported Platforms

SaaS

Customer Service / Support

Web-Based Support

Customer Service / Support

Web-Based Support

Training Options

Documentation Hub

Training Options

Documentation Hub

Company Facts

Organization Name

StepFun

Date Founded

2023

Company Location

China

Company Website

static.stepfun.com/blog/step-3.5-flash/

Company Facts

Organization Name

Alibaba

Date Founded

1999

Company Location

China

Company Website

qwen.ai

Categories and Features

AI Models

Not specified

Foundation Models

Not specified

Categories and Features

AI Coding Models

Not specified

AI Models

Not specified

AI Reasoning Models

Not specified

Foundation Models

Not specified

Large Language Models

Not specified

Multimodal Models

Not specified

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