Ling 3.0 Tiny Thinking

Ling 3.0 Tiny

Ling 3.0 Tiny is a compact 7.9B-parameter Mixture-of-Experts model with 1.3B parameters active per token. It is designed for responsive agents, reliable instruction following, natural multi-turn conversations, long-context work, and function calling at low inference cost.

Ling 3.1 Flash

Ling 3.1 Flash is inclusionAI's hybrid reasoning model for coding, tool use, planning, and long-context agent workflows. It has 560B total parameters with 25B active parameters per token. Thinking is enabled by default and can be turned off in settings.

Ling 3.0 Flash VL

Ling 3.0 Flash VL is inclusionAI's native multimodal Mixture-of-Experts model with 124B total parameters and 5.5B active parameters per token. It combines image and video understanding with reasoning and tool use for document analysis, charts, visual verification, and interface-based agent tasks. Thinking is enabled by default and can be turned off in settings.

Ling 3.0 Flash

Ling-3.0-flash is a 124B-parameter Mixture-of-Experts model with approximately 5.1B parameters active per token. It prioritizes token efficiency and production-scale agentic inference, helping coding and tool-using agents complete more work within constrained latency and serving budgets.

Ling 3.0 Flash Thinking

Ling-3.0-flash Thinking enables visible reasoning on inclusionAI's token-efficient 124B-parameter Mixture-of-Experts model for harder coding, tool use, planning, and production-scale agent workflows.

LFM3 1.7B

Liquid AI's compact 1.7B-parameter text model for tool use, structured output, data extraction, and specialized agents. It reasons before answering and supports a 262,144-token context window with up to 8,192 output tokens. Pair it with retrieval for knowledge-heavy tasks; it is not recommended for complex multi-step reasoning or agentic coding.