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Upstage releases Solar Open 2, a 250B parameter agentic LLM with 1M context

Upstage has released Solar Open 2, a 250 billion parameter open-weight large language model designed for agentic tasks. The model utilizes a Hybrid-Attention Mixture-of-Experts (MoE) architecture, activating only 15 billion parameters per token for efficient inference. Solar Open 2 supports a 1 million token context window and is proficient in English, Korean, and Japanese, making it suitable for applications like office productivity and coding. AI

IMPACT This model's efficient architecture and long context window could accelerate the development of more capable AI agents.

RANK_REASON Frontier-lab model release with system card. [lever_c_demoted from frontier_release: ic=1 ai=1.0]

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Upstage releases Solar Open 2, a 250B parameter agentic LLM with 1M context

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