Qwen3.5
### TL;DR
Qwen3.5 is the latest series in the Qwen family of large language models developed by Alibaba Cloud's Qwen team. It offers advanced capabilities in natural language understanding and generation, building upon previous iterations to provide enhanced performance and versatility.
Key Insights & Metrics
Key Features
- Dense and Mixture-of-Experts (MoE) models of various sizes, including 0.6B, 1.7B, 4B, 8B, 14B, 32B, and 30B-A3B, 235B-A22B.
- Seamless switching between thinking mode (for complex logical reasoning, math, and coding) and non-thinking mode (for efficient, general-purpose chat).
- Significant enhancements in reasoning capabilities, surpassing previous models in mathematics, code generation, and commonsense logical reasoning.
- Superior human preference alignment, excelling in creative writing, role-playing, multi-turn dialogues, and instruction following.
- Expertise in agent capabilities, enabling precise integration with external tools in both thinking and non-thinking modes.
→ Related Releases
AIBuildAI
AIBuildAI is an AI agent that autonomously constructs AI models. Given a specific task, it initiates an agent loop to analyze the problem, design models, and execute training processes, all without human intervention.
llmock
llmock is a deterministic mock LLM server designed for testing purposes. It provides a real HTTP server with authentic SSE streams, allowing developers to simulate interactions with various LLM APIs like OpenAI, Claude, and Gemini without incurring costs or dealing with non-deterministic results.
MiroThinker
MiroThinker is an open-source search agent model developed by MiroMindAI, designed for tool-augmented reasoning and real-world information seeking. It aims to match the deep research capabilities of leading AI models like OpenAI's Deep Research and Google's Gemini Deep Research.
Letta Code SDK
The Letta Code SDK is a software development kit that enables developers to build deeply personalized agents with persistent memory that learn over time. It serves as the interface to Letta Code, facilitating the creation of stateful agents capable of continuous learning and improvement.
Discussion
Sign in to leave a review
Reviews
No reviews yet. Be the first to review!