Google Closes In On DeepSeek’s AI Efficiency, While DeepSeek’s Chatbot Blows Past Google’s
Google doesn’t get the accolades OpenAI, Anthropic and DeepSeek are getting in advancing artificial intelligence, but it’s arguably doing some things right.
Case in point: On Wednesday, Google made a trio of new Gemini AI models generally available to app developers, including a reasoning model akin to OpenAI’s o1 and the much-discussed DeepSeek R1. The models themselves are nearly as good as those of Google’s rivals, according to the Chatbot Arena leaderboard, but what’s even more important is that Google has made strides when it comes to efficiency—the balance of quality and price.
One of the new Gemini models beat DeepSeek’s best nonreasoning model, V3, and it’s only a bit more expensive, at $0.40 per 1 million output tokens, versus DeepSeek’s $0.28. Another Google model is slightly behind DeepSeek in quality but is competitively priced at $0.30.
Related Knowledge Center: Artificial intelligence
On top of a failing business model, newsrooms must navigate the powerful — and not fully reliable — new capabilities of artificial intelligence and the deployment of large language models.
State of the business model | Copyright and intellectual property