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With GPT-4o and GPT-3o Mini, two powerful models are available that are suitable for different requirements. While GPT-4o is optimized for complex tasks and multimodal applications, GPT-3o Mini focuses on efficiency and cost-effectiveness.
GPT-4o: Key technical features and applications
GPT-4o stands for multimodality and high performance. It processes text, images, audio and video in real time and is suitable for demanding applications.
- Multimodal superpower: Imagine uploading a photo of a defective industrial motor – GPT-4o not only recognizes the component, but also immediately generates a fault diagnosis and repair instructions, including a spare parts list. This real-time synergy (average response time of 232 ms) makes it an insider tip for developers of medical diagnostic tools or engineers who evaluate machine data in real time.
- Academic precision: When evaluating scientific papers or legal documents, the model achieves an accuracy rate of 88.7% (MMLU score). Use this strength to automatically categorize research data or check contract clauses for risks.
- Cost-benefit calculation: At $2.50 per million input tokens and $10 for output tokens, it is worth using where errors are expensive – for example, when generating financial reports or translating product specifications for international markets.
Efficiency of GPT-3o Mini
GPT-3o Mini is a compact version designed specifically for everyday applications. It consumes less computing power while still providing solid language processing. If you need a resource-efficient model, this is the right choice.
- Resource efficiency: GPT-3o Mini requires significantly less computing power than GPT-4o and is about 16.7 times cheaper than GPT-4o for input and output tokens. This reduces hosting and operating costs, especially when used in the cloud or on local servers.
- Speed: Thanks to its reduced model size, GPT-3o Mini delivers fast response times. This is particularly important for applications that need to respond to queries in real time, such as customer support systems or chatbots.
- Underdog with bite: With a HumanEval score of 87.2% in programming tasks, it outperforms competitors like Claude Haiku. Startups use this strength to generate MVP code bases or to write automated unit tests.
- Smaller memory footprint: While GPT-4o requires extensive computing resources, GPT-3o Mini runs efficiently on smaller servers or even on edge devices. This is an advantage for companies that want to save costs while using a reliable AI.
- Scalability: Those who have to process large numbers of requests benefit from GPT-3o Mini. It can run in parallel on multiple servers without the infrastructure having to be massively expanded. This makes it well suited for mass deployment in support systems or for automated text generation.
- Areas of application: GPT-3o Mini is often used in simple chatbots, for social media postings, light text analysis and content automation. While it does not provide the same depth as GPT-4o, it does many tasks efficiently.
