LLaDA2.2 Mini
LLaDA2.2 Mini is available now for rag, agents, and long context with open-source and 131k context; evaluate it while provider pricing coverage matures.
Use it for
- Teams evaluating rag, agents, and long context
- Workloads that can use a 131k context window
Do not use it for
- Cost-sensitive launches that need sourced token pricing
- Vision or document-understanding workloads
- Teams that need a tracked hosted API route today
- Family
- LLaDA2.2
- Released
- 2026-09-05
- Context
- 131k
- Parameters
- 16B (1.4B active)
- Architecture
- Mixture of Experts
- Specialization
- agentic
- Openness
- Open source
- License
- Apache 2.0OSI-approvedCommercial use: permitted
- Weights
- Available
- Code
- Unknown
- Training
- Pretrained
InclusionAI is Ant Group's artificial general intelligence research lab, responsible for developing the Ling series of l
No tracked provider token pricing is available yet.
About
LLaDA2.2-mini is the lightweight LLaDA2.2 diffusion MoE variant: 16B total parameters with ~1.4B active per token, 128K context (131,072 tokens), and the same Levenshtein Editing agentic stack as LLaDA2.2-flash at lower inference cost. Apache 2.0 weights on Hugging Face (inclusionAI/LLaDA2.2-mini).
Top use-case fit: coding, agents, and build tasks
RAG
Included by capability and metadata signals in the decision map.
Agents
Included by capability and metadata signals in the decision map.
Long context
Included by capability and metadata signals in the decision map.
Provider price ladder
No tracked provider token pricing is available for this model yet.
Capabilities
Benchmark peer barsfor RAG
No task-mapped benchmark peers are available for this model yet.
Migration checks
No linked migration route is available for this model yet.
InclusionAI is Ant Group's artificial general intelligence research lab, responsible for developing the Ling series of l
No tracked provider token pricing is available yet.