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The model and API independent analysis company, Artificial Analysis, released its latest evaluation report on DeepSeek R1-0528. The results show that DeepSeek R1 has made significant breakthroughs in technical performance, surpassing xAI, Meta, and Anthropic, and is now on par with Google, becoming the world's second largest artificial intelligence lab. At the same time, DeepSeek has also established its undisputed leadership position in the field of open-source weights.

Recently, ByteDance's Volcano Engine Large Model Service Platform, Volcano Ark, officially announced the integration of the latest version of DeepSeek-R1-0528. This move not only demonstrates ByteDance's technical strength in the field of large model services but also provides more efficient and convenient large model application experiences for enterprise users and developers. The Volcano Ark platform has built a high-performance service system targeting the core requirements of large model applications, namely speed and stability. By using its self-developed xLLM high-performance inference framework, the platform achieves a model latency as low as 30ms per T.

Tencent Coins officially announced the integration with the latest version of DeepSeek R1-0528, providing early access on both desktop and web versions. This model update brings three significant changes, offering users a more premium and efficient AI experience. In terms of reasoning ability, the new model demonstrates stronger capabilities. It can handle complex code issues and conduct in-depth analyses of various problems quickly and accurately, providing reliable solutions for users. This improvement makes Tencent Coins more practical in work and learning scenarios.

DeepSeek officially announced that its R1 model has completed minor version trial upgrades and is now open for user testing. This upgraded model is named "DeepSeek-R1-0528", showing amazing performance in various tests. The new DeepSeek-R1-0528 has significantly improved programming capabilities, aesthetic design, and code completion. During testing, with just simple instructions, the model can quickly generate high-quality code and design works. In addition, R1-0528 has excelled in generating complex pre-