{"id":72850,"date":"2025-02-07T03:54:38","date_gmt":"2025-02-07T03:54:38","guid":{"rendered":"https:\/\/peraltafinancing.com\/analytics\/google-gemini-2-0-pro-experimental-vs-openai-o3-mini\/"},"modified":"2025-02-07T03:54:38","modified_gmt":"2025-02-07T03:54:38","slug":"google-gemini-2-0-pro-experimental-vs-openai-o3-mini","status":"publish","type":"post","link":"https:\/\/fivemor.com\/?p=72850","title":{"rendered":"Google Gemini 2.0 Pro Experimental vs OpenAI o3-mini"},"content":{"rendered":"


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Google has expanded their Gemini 2.0 family<\/a> with a bunch of new experimental models. The Gemini 2.0 Pro Experimental is specifically designed to handle complex tasks with ease and superior performance. This new model from Google is giving a tough competition to OpenAI\u2019s o3-mini<\/a>, especially in advanced coding and reasoning tasks. In this battle of Google Gemini 2.0 Pro Experimental vs OpenAI o3-mini, we will be testing them on three different coding tasks, ranging from creating simple javascript animations to building Python games. So let the contest begin and may the best coder win!<\/p>\n

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

Google\u2019s Gemini 2.0 Pro Experimental is Google\u2019s latest advancement in AI models. This new model is designed to handle complex tasks and demonstrates superior performance in coding, enhanced reasoning, and comprehension. With a context window of up to 2 million tokens, this experimental version of Gemini 2.0 Pro, excels in understanding and processing intricate prompts. Moreover, it integrates with tools like Google Search and code execution environments to provide accurate and up-to-date information.<\/p>\n

This experimental model is now available in Google AI Studio, Vertex AI, and the Gemini app for Gemini Advanced users.<\/p>\n

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

What is OpenAI o3-mini?<\/h2>\n

o3-mini is a streamlined version of OpenAI\u2019s upcoming o3 model, known to be its most efficient and advanced reasoning model yet. This compact yet powerful reasoning model is designed to enhance performance in tasks such as coding, mathematics, and science. While it offers faster and more accurate responses compared to its predecessor, o1-mini, it also boasts a high variant, specifically trained for coding and logic.<\/p>\n

o3-mini is now available to both free and paid users on the ChatGPT interface and associated API services. Free users have rate-limited access, while paid users can opt for the premium variant for enhanced performance.<\/p>\n

\"OpenAI<\/figure>\n

Gemini 2.0 Pro Experimental vs o3-mini: Benchmark Comparison<\/h2>\n

Now, let\u2019s start with the comparisons. In this section, we will be looking into the performances of both Gemini 2.0 Pro Experimental and o3-mini on standard coding benchmark tests. For this comparison, we will look into the scores of these models on various tasks on the LiveBench Leaderboard.<\/p>\n

\n\n\n\n\n\n\n\n\n
Model<\/td>\nOrganization<\/td>\nGlobal Average<\/td>\nReasoning Average<\/td>\nCoding Average<\/td>\nMathematics Average<\/td>\nData Analysis Average<\/td>\nLanguage Average<\/td>\nIF Average<\/td>\n<\/tr>\n
o3-mini-medium<\/td>\nOpenAI<\/td>\n70.01<\/td>\n86.33<\/td>\n65.38<\/td>\n72.37<\/td>\n66.56<\/td>\n46.26<\/td>\n83.16<\/td>\n<\/tr>\n
o3-mini-low<\/td>\nOpenAI<\/td>\n62.45<\/td>\n69.83<\/td>\n61.46<\/td>\n63.06<\/td>\n62.04<\/td>\n38.25<\/td>\n80.06<\/td>\n<\/tr>\n
o3-mini-high<\/td>\nOpenAI<\/td>\n75.88<\/td>\n89.58<\/td>\n82.74<\/td>\n77.29<\/td>\n70.64<\/td>\n50.68<\/td>\n84.36<\/td>\n<\/tr>\n
gemini-2.0-pro-exp-02-05<\/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

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

Also Read: Is OpenAI\u2019s o3-mini Better Than DeepSeek-R1?<\/a><\/em><\/p>\n

Gemini 2.0 Pro Experimental vs o3-mini: Performance Comparison<\/h2>\n

Now, let\u2019s get to the actual coding battle! We will now test both the models on actual coding tasks and compare their responses to see who performs better. Since Gemini 2.0 Pro Experimental is Google\u2019s best model for complex coding tasks, we will be testing it against OpenAI\u2019s best coding model, o3-mini (high). We will be testing them on:<\/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

    For each of these tasks, we\u2019ll be comparing the output of the codes generated by either model and score them 0 or 1. So let\u2019s start with the first one.<\/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 o3-mini (high)<\/strong><\/p>\n