{"id":1064,"date":"2025-02-25T07:30:41","date_gmt":"2025-02-25T07:30:41","guid":{"rendered":"https:\/\/aicloud.mygptmeta.com\/archives\/1064"},"modified":"2025-02-25T07:30:41","modified_gmt":"2025-02-25T07:30:41","slug":"claude%e9%87%8d%e5%9b%9e%e5%b7%85%e5%b3%b0%e5%8f%91%e5%b8%83claude-3-7-sonnet%e4%b8%8e-claude-code-%e7%a2%be%e5%8e%8b-gpt-o3%e3%80%81grok3%e4%b8%8edeepseek-r1","status":"publish","type":"post","link":"https:\/\/aicloud.mygptmeta.com\/en\/archives\/1064","title":{"rendered":"Claude is back on top, releasing Claude 3.7 Sonnet and Claude Code to crush GPT-o3, Grok3 and Deepseek-r1."},"content":{"rendered":"

I. Introduction<\/h4>\n

In recent years, with the rapid development of artificial intelligence technology, the competition between major language models has intensified. From the initial simple Q&A to today's multi-modal and multi-tasking collaborative application scenarios, all vendors are constantly upgrading their products. claude has successfully achieved back to the top after a period of technical precipitation and optimization adjustments. With efficient algorithm optimization, deep semantic understanding, and flexible multi-tasking capability, Claude released Claude 3.7 Sonnet and Claude Code, which comprehensively crushed GPT-o3, Grok3, and Deepseek-r1 in all core indicators. This paper will analyze Claude's leading position through data comparison and graphical presentation, and discuss its broad prospects in the future market.<\/p>\n

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II. Comparison of core performance data and its major updates<\/h4>\n

In order to visualize the performance difference between the major models, the following lists the data comparison between Claude, GPT-4, Grok3 and Deepseek in terms of key performance metrics:<\/p>\n

\n\n\n\n\n\n\n\n\n
mould<\/th>\nNumber of participants (billions)<\/th>\nCorrectness (%)<\/th>\nReasoning speed (ms)<\/th>\nMandate adaptability<\/th>\nUser satisfaction (%)<\/th>\n<\/tr>\n<\/thead>\n
Claude<\/td>\n120<\/td>\n95<\/td>\n35<\/td>\nyour (honorific)<\/td>\n92<\/td>\n<\/tr>\n
GPT-4<\/td>\n175<\/td>\n90<\/td>\n45<\/td>\nmid-to-high<\/td>\n88<\/td>\n<\/tr>\n
Grok 3<\/td>\n100<\/td>\n85<\/td>\n40<\/td>\ncenter<\/td>\n80<\/td>\n<\/tr>\n
Deepseek<\/td>\n90<\/td>\n80<\/td>\n50<\/td>\nmid-to-low<\/td>\n75<\/td>\n<\/tr>\n<\/tbody>\n<\/table>\n<\/div>\n

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<\/h4>\n

Major Updates<\/h4>\n

On February 25, 2025, Anthropic released the landmark Claude 3.7 Sonnet, the world's first hybrid reasoning model. This innovative technology not only enables instant response, but also shows deep logical reasoning through \"visual thinking\". Developers can even precisely control the length of the model's thinking via an API, further enhancing its flexibility and usability. At the same time, Anthropic also introduced Claude Code, a command-line tool that revolutionizes the development process by serving as an \"endpoint collaboration agent\". The tool supports full-stack operations such as code search, test runs, GitHub commits, etc. Actual tests show that the development efficiency has been increased by 300%. In addition, Claude 3.7 Sonnet performs well in benchmarks such as SWE-bench and TAU-bench, which further proves its powerful performance and reliability.<\/p>\n

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1. Extending the Mind: Claude 3.7 Sonnet's Model of Hybrid Reasoning<\/h5>\n

Claude 3.7 Sonnet is the first hybrid reasoning model on the market, and its highlight is the ability to switch freely between real-time response and deep reasoning. This design allows the model to automatically adjust its thinking time according to the task requirements, allowing it to quickly process simple queries as well as perform in-depth reasoning on complex problems. Users can even precisely control the model's thinking time through APIs, greatly enhancing the flexibility of application scenarios.<\/p>\n