
Open Mixture of Experts LLM (230B, 10B active) for reasoning, coding, and tool-use/agent workflows

Multilingual, cross-lingual embedding model for long-document QA retrieval, supporting 26 languages.

Qwen3-Next Instruct blends hybrid attention, sparse MoE, and stability boosts for ultra-long context AI.

Follow-on version of Kimi-K2-Instruct with longer context window and enhanced reasoning capabilities

ByteDance open-source LLM with long-context, reasoning, and agentic intelligence.

Excels in agentic coding and browser use and supports 256K context, delivering top results.

Multilingual, cross-lingual embedding model for long-document QA retrieval, supporting 26 languages.

Multilingual and cross-lingual text question-answering retrieval with long context support and optimized data storage efficiency.

Fine-tuned reranking model for multilingual, cross-lingual text question-answering retrieval, with long context support.

Long context cutting-edge lightweight open language model exceling in high-quality reasoning.