{"id":73668,"date":"2025-02-07T12:38:56","date_gmt":"2025-02-07T12:38:56","guid":{"rendered":"https:\/\/peraltafinancing.com\/analytics\/google-gemini-2-0-pro-vs-deepseek-r1-coding-battle\/"},"modified":"2025-02-07T12:38:56","modified_gmt":"2025-02-07T12:38:56","slug":"google-gemini-2-0-pro-vs-deepseek-r1-coding-battle","status":"publish","type":"post","link":"https:\/\/fivemor.com\/?p=73668","title":{"rendered":"Google Gemini 2.0 Pro vs DeepSeek-R1: Coding Battle"},"content":{"rendered":"


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Google has been making waves with all its new Gemini 2.0 experimental models<\/a>. Be it handling complex tasks, logical reasoning, or coding, Google has a new model specially designed for it! The most efficient of them all is the Google Gemini 2.0 Pro Experimental model. While it may be the most capable in the Gemini 2.0 family, is it good enough to compete against leading models like DeepSeek-R1 and o3-mini<\/a>? Let\u2019s have a Gemini 2.0 Pro Experimental vs DeepSeek-R1 coding battle and test these models on different coding tasks like creating javascript animations and building Python games, to see who\u2019s a better coder.<\/p>\n

What is Google Gemini 2.0 Pro Experimental?<\/h2>\n

Google\u2019s Gemini 2.0 Pro Experimental is Google\u2019s latest AI model, built for complex tasks. It offers superior performance in coding, reasoning, and comprehension. With a context window of up to 2 million tokens, it processes intricate prompts with ease. Moreover, the model integrates with Google Search and code execution tools to provide accurate, up-to-date information.<\/p>\n

Gemini 2.0 Pro Experimental is now available in Google AI Studio, Vertex AI, and the Gemini app for Gemini Advanced users.<\/p>\n

Also Read: Gemini 2.0 \u2013 Everything You Need to Know About Google\u2019s Latest LLMs<\/a><\/em><\/p>\n

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\"Google<\/figure>\n<\/div>\n

What is DeepSeek-R1?<\/h2>\n

DeepSeek-R1 is a cutting-edge AI model developed by the Chinese AI startup DeepSeek. It is an open-source model designed to deliver high efficiency in reasoning and problem-solving. This advanced model excels in coding, mathematics, and scientific tasks, offering improved accuracy and faster response times.<\/p>\n

DeepSeek-R1 is freely accessible through the DeepSeek AI platform<\/a> and its associated API services.<\/p>\n

\"DeepSeek-R1<\/figure>\n

Gemini 2.0 Pro Experimental vs DeepSeek-R1: Benchmark Comparison<\/h2>\n

Before we get into the hands-on action, let\u2019s have a look at how these two models have performed in standard benchmark tests. So, here are the performance scores of both Gemini 2.0 Pro Experimental and DeepSeek-R1 in various tasks across subjects.<\/p>\n

\n\n\n\n\n\n\n
Model<\/strong><\/td>\nOrganization<\/strong><\/td>\nGlobal Average<\/strong><\/td>\nReasoning Average<\/strong><\/td>\nCoding Average<\/strong><\/td>\nMathematics Average<\/strong><\/td>\nData Analysis Average<\/strong><\/td>\nLanguage Average<\/strong><\/td>\nIF Average<\/strong><\/td>\n<\/tr>\n
deepseek-r1<\/strong><\/td>\nDeepSeek<\/td>\n71.57<\/td>\n83.17<\/td>\n66.74<\/td>\n80.71<\/td>\n69.78<\/td>\n48.53<\/td>\n80.51<\/td>\n<\/tr>\n
gemini-2.0-pro-exp-02-05<\/strong><\/td>\nGoogle<\/td>\n65.13<\/td>\n60.08<\/td>\n63.49<\/td>\n70.97<\/td>\n68.02<\/td>\n44.85<\/td>\n83.38<\/td>\n<\/tr>\n<\/tbody>\n<\/table>\n<\/div>\n

Source: livebench.ai<\/a><\/p>\n

Also Read: Is Google Gemini 2.0 Pro Experimental Better Than OpenAI o3-mini?<\/a><\/em><\/p>\n

Gemini 2.0 Pro Experimental vs DeepSeek-R1: Performance Comparison<\/h2>\n

Let\u2019s now try out these models and see if they match up to their benchmarks. We\u2019ll give 3 different prompts to both Gemini 2.0 Pro Experimental and DeepSeek-R1, testing their coding abilities. For each prompt, we\u2019ll run the code generated by the models and compare them based on the quality of the final output. Based on the performance, we\u2019ll score the models 0 or 1 for each task and then tally them to find the winner.<\/p>\n

Here are the three coding tasks we are going to try out:<\/p>\n

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  1. Designing a Javascript Animation<\/li>\n
  2. Building a Physics Simulation Using Python<\/li>\n
  3. Creating a Pygame<\/li>\n<\/ol>\n

    So, let the battle begin, and may the best model win!<\/p>\n

    Task 1: Designing a Javascript Animation<\/h3>\n

    Prompt:<\/strong> \u201cCreate a javascript animation where the word \u201cCELEBRATE\u201d is at the centre with fireworks happening all around it.\u201d<\/em><\/p>\n

    Response by DeepSeek-R1<\/strong><\/p>\n