{"id":2488,"date":"2025-04-01T11:00:00","date_gmt":"2025-04-01T11:00:00","guid":{"rendered":"http:\/\/nurseagence.com\/?p=2488"},"modified":"2025-04-01T13:04:47","modified_gmt":"2025-04-01T13:04:47","slug":"how-qwen-2-5-just-beat-the-top-ai-models-hubspot-svp-of-marketing-shares-the-industry-impact","status":"publish","type":"post","link":"http:\/\/nurseagence.com\/index.php\/2025\/04\/01\/how-qwen-2-5-just-beat-the-top-ai-models-hubspot-svp-of-marketing-shares-the-industry-impact\/","title":{"rendered":"How Qwen 2.5 Just Beat the Top AI Models \u2014 HubSpot SVP of Marketing Shares The Industry Impact"},"content":{"rendered":"

The AI model races are heating up. Right on the heels of DeepSeek-R1\u2019s release<\/a>, the industry is reeling from yet another powerful AI model hitting the market. I test drove the latest iteration of Alibaba\u2019s Qwen models \u2014 Qwen 2.5.<\/p>\n

In this post, I\u2019ll break down what Qwen 2.5 is, how you can use it, and how it compares to OpenAI o1<\/a> and DeepSeek-RI<\/a>. I\u2019ll also explore what this means for the AI industry moving forward. Let\u2019s dive in.<\/p>\n

\"Download<\/a><\/p>\n

What Makes Qwen 2.5 Different<\/h2>\n

Qwen 2.5 was released as a surprise launch on January 29, 2025. Like its competitors, Qwen 2.5 offers natural language processing, versatile use cases, and integrations with multilingual support. It\u2019s fast and trained on a massive amount of data. It can search the web, write text, and code.<\/p>\n

Unlike OpenAI and Claude\u2019s models, Qwen 2.5 is open source, which opens a realm of possibility for companies and developers.<\/p>\n

Beyond that, you can go to Qwen\u2019s website<\/a> and sign up to start using it today for free. Early testing suggests that Qwen 2.5 performs similarly to ChatGPT\u2019s o1 and o3 models, which cost $200 per month. For a company or an individual looking to leverage complex reasoning and build a custom AI model, that\u2019s significant savings.<\/p>\n

Qwen 2.5 is also multimodal, meaning it can process and generate content based on both text and image inputs. This approach makes the tool incredibly versatile. With Qwen 2.5, I can:<\/p>\n