by InclusionAI
Ling-flash-2.0 is a language model from inclusionAI with a total of 100 billion parameters, of which 6.1 billion are activated per token (4.8 billion non-embedding). As part of the Ling 2.0 architecture series, it is designed as a lightweight yet powerful Mixture-of-Experts (MoE) model. It aims to deliver performance comparable to or even exceeding that of 40B-level dense models and other larger MoE models, but with a significantly smaller active parameter count. The model represents a strategy focused on achieving high performance and efficiency through extreme architectural design and training methods.
| Input | $0.14 / 1M tokens |
| Output | $0.54 / 1M tokens |
| Modalities | text |
| Features | tools, function_calling, structured_outputs |
Use inclusionAI/Ling-flash-2.0 via the AIHubMix unified API — one interface for every major LLM.