Ling 3.1 Flash

Ling 3.1 Flash is a hybrid reasoning mixture-of-experts model developed by InclusionAI, featuring a massive total parameter count of approximately 560 billion with 25 billion active parameters per token. Built to handle complex agentic workflows, multi-step code generation, and tool usage, the model offers high efficiency and rapid inference speeds suited for production scale environments.

Architecture and Capabilities

The model utilizes a sparse mixture-of-experts routing layout designed to optimize resource usage during heavy reasoning tasks. It supports an extensive context window—commonly hosted at 262,144 tokens—and an output limit of 32,768 tokens, making it well-suited for long-context comprehension, deep code analysis, and structured function calling.

Usage and Performance

Ling 3.1 Flash balances high-level reasoning performance with low-latency responsiveness, positioning itself competitively among high-capacity Flash-class variants. It features native support for advanced text-based tasks, complex problem-solving prompts, and agentic integrations.