1
Feature Story
DeepSeek Accelerates AI Model Timeline as Market Reacts To Low-Cost Breakthrough - Slashdot
Feb 25, 2025 · slashdot.orgDeepSeek's cost-efficiency is attributed to innovative architecture choices such as Mixture-of-Experts (MoE) and multihead latent attention (MLA). Analysts from Bernstein note that DeepSeek's pricing is 20-40 times cheaper than comparable models from OpenAI. This competitive pressure has led OpenAI to reduce prices and release a scaled-down model, while Google's Gemini has introduced discounted access tiers.
Key takeaways
- DeepSeek is accelerating the release of its R2 model after the success of its R1 model, which outperformed US competitors at a lower cost.
- The R2 model will offer improved coding capabilities and reasoning in multiple languages beyond English.
- DeepSeek's competitive advantage is due to early investments in computing power, including supercomputing clusters with Nvidia A100 chips.
- DeepSeek's models are 20-40 times cheaper than OpenAI's, leading to competitive pressure on OpenAI and Google to adjust their pricing and offerings.