# Open-weight model release

PFN released PLaMo 3 Translate, the translation-focused large language model behind its PLaMo translation service, as open-weight models in four sizes, 0.8B, 2B, 8B and 31B, which can be embedded in phones, laptops or in-house servers to translate among 53 languages including Japanese and English without a network connection. By PFN's own evaluation, the smallest model scores above Google's TranslateGemma and Tencent's Hy-MT2 on translation quality, and companies and individuals with revenue or sales of 1 billion yen or less in the latest fiscal year may use it commercially for free under the PLaMo Community License.

PFN released PLaMo 3 Translate, the translation-focused large language model behind its PLaMo translation service, as open-weight models in four sizes, 0.8B, 2B, 8B and 31B, which can be embedded in phones, laptops or in-house servers to translate among 53 languages including Japanese and English without a network connection. By PFN's own evaluation, the smallest model scores above Google's TranslateGemma and Tencent's Hy-MT2 on translation quality, and companies and individuals with revenue or sales of 1 billion yen or less in the latest fiscal year may use it commercially for free under the PLaMo Community License.

Reflection released the weights of Beam, its first open-weight model, on Hugging Face under an Apache 2.0 license; Beam is a sparse Mixture-of-Experts model with 501 billion total parameters and 23 billion active, built for coding, reasoning, and long-horizon agentic workloads. Previously the model was reachable only through Reflection and its partners, and developers can now download and self-host it, evaluate it, and customize it for their own domains. The release ships with final benchmarks in the model card and a safety technical report, plus an ecosystem of over 40 partners and integrations spanning inference, quantization, fine-tuning, reinforcement learning, agent harnesses, evaluation, and observability, which Reflection calls an open operating system for agents.

Reflection released the weights of Beam, its first open-weight model, on Hugging Face under an Apache 2.0 license; Beam is a sparse Mixture-of-Experts model with 501 billion total parameters and 23 billion active, built for coding, reasoning, and long-horizon agentic workloads. Previously the model was reachable only through Reflection and its partners, and developers can now download and self-host it, evaluate it, and customize it for their own domains. The release ships with final benchmarks in the model card and a safety technical report, plus an ecosystem of over 40 partners and integrations spanning inference, quantization, fine-tuning, reinforcement learning, agent harnesses, evaluation, and observability, which Reflection calls an open operating system for agents.