GPT-4o Mini: OpenAI's Multimodal Marvel UNVEILED

Unveiling GPT-4oThe Next Evolution in AI - Affordable, Fast, and Multimodal

In this episode, we dive into OpenAI's latest model, GPT-4o Mini, which is both cost-effective and highly intelligent. We compare its performance to competitors like Gemini Flash and Claude Haiku, highlighting its standout feature—multimodal capabilities. This model is significantly cheaper than GPT-3.5 Turbo, priced at 15 cents per million tokens of input and 60 cents per million tokens of output. It excels in various tasks from coding to vision, and scores highly on metrics like MMLU and eval for coding. We discuss the model's potential applications and its availability across different tiers of ChatGPT, with plans for future expansion in multimodal support. Tune in to explore how GPT-4.0 Mini is set to revolutionize AI with its affordability and versatility.

00:00 Introduction to GPT-4.0 Mini
00:09 Competitive Landscape and Multimodal Capabilities
00:39 Pricing and Cost Efficiency
01:11 Performance Metrics and Benchmarks
01:47 Future Multimodal Support
02:32 Token Context and Training Data
02:51 Chatbot Arena and Competitive Edge
04:00 Applications and Use Cases
05:26 Coding Performance and Real-Time Testing
06:54 Partnerships and Safety Measures
07:28 Availability and Pricing
08:17 Conclusion and Final Thoughts

[levato]

OMG yes! Finally I can replace the 3.5-turbo, love it

[IdPreferNot]

What is the testing interface you're using locally. Open Artifacts? Is it available?