While OpenAI reportedly spent $500 million training Orion, DeepSeek achieved superior benchmark results for just $5.6 million — less than 1.2% of OpenAI’s investment.

The DeepSeek R1 model has a 671 billion parameters architecture and has been trained on the DeepSeek V3 Base model. It is focused on Chain of Thought (CoT) reasoning to compete on advanced ...

DeepSeek-V3’s 45-day promotional pricing period for its API service will end on Feb. 8, with new pricing set to take effect on Feb. 9. Under the updated rates, the cost will be RMB 0.5 ($0.068) per ...

DeepSeek has also largely been ignored by the large cloud providers, which have re-affirmed Capex guidance going forward. This is a strong signal that DeepSeek V3 may not be a game changer — but ...

DeepSeek was developed by a relatively unknown start-up from eastern China's tech hub of Hangzhou. However, the release of its V3 generation in January surprised many in the industry with its ...

The company stated that Qwen2.5 Max "achieves competitive performance against the top-tier models," referencing OpenAI's GPT-4o, DeepSeek-V3 and Meta's Llama-3.1-405B, based on its compiled ...

DeepSeek's AI assistant, powered by both its V3 and R1 models, is accessible via browser or app -- but those services require communication with the company's China-based servers, which creates a ...

In MoE LLMs like DeepSeek-V3 or Mixtral, only a subset of the model’s expert layers (e.g., 8 out of 256) are active during any given token’s forward pass.

DeepSeek, DeepSeek, DeepSeek: CEOs keep getting asked about the Chinese AI startup on earnings calls By Dominick Reuter , Aditi Bharade , Kelsey Vlamis , Sarah Perkel , Meghan Morris , and Alex Bitter ...