Roughly 750,000 words of AI output costs $50 if you buy it from Anthropic’s Fable. The same volume from DeepSeek’s V4-Pro costs about 87 cents, Fortune reported. Z.AI’s GLM-5.2 charges $4.40. Moonshot’s Kimi K3, pricey by Chinese standards, charges $15. Corporate America has noticed. Companies spent a year competing to burn tokens. Now they shop […]<br /> This story continues at The Next Web [...]
The whale has resurfaced. DeepSeek, the Chinese AI startup offshoot of High-Flyer Capital Management quantitative analysis firm, became a near-overnight sensation globally in January 2025 with the rel [...]
DeepSeek is expanding beyond the model layer and deeper into the software developers use to put AI agents to work.The Chinese AI lab on Thursday launched the official version of DeepSeek-V4-Pro, an up [...]
Chinese artificial intelligence startup DeepSeek released two powerful new AI models on Sunday that the company claims match or exceed the capabilities of OpenAI's GPT-5 and Google's Gemini- [...]
DeepSeek’s announcement over the weekend that it has made its 75% price cut permanent on its flagship V4 Pro model is a disruptive assault on the capital-heavy business models of Silicon Valley’s [...]
DeepSeek, the Chinese artificial intelligence research company that has repeatedly challenged assumptions about AI development costs, has released a new model that fundamentally reimagines how large l [...]
DeepSeek continues to push the frontier of generative AI...in this case, in terms of affordability.The company has unveiled its latest experimental large language model (LLM), DeepSeek-V3.2-Exp, that [...]
Anthropic dropped a bombshell on the artificial intelligence industry Monday, publicly accusing three prominent Chinese AI laboratories — DeepSeek, Moonshot AI, and MiniMax — of orchestrating coor [...]
Even as the geopolitical conversation around AI continues to grow more fraught following the U.S. government's actions to limit the new models from Anthropic and OpenAI, Chinese open source darli [...]
DeepSeek's V4 Flash has topped model leaderboards and been hailed by developers as a "total monster" since its rollout. But in real-world testing, it completed just 53.8% of a batch of [...]