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

Developers Digest
18 Jul 202408:26

TLDROpenAI unveils GPT-4o Mini, a cost-effective and intelligent model that outperforms competitors like Gemini Flash and Claude in multimodal capabilities. Priced significantly lower than GPT-3.5 Turbo, it offers a vision capability and plans to support text, image, video, and audio. With a high MLU score and a 28,000 token context window, it's poised to revolutionize AI applications, offering enhanced performance and cost savings.

Takeaways

  • 🚀 OpenAI has unveiled a new model called GPT-4o Mini, which is positioned as a cheaper, faster, and intelligent model compared to its competitors.
  • 📈 GPT-4o Mini is notably competitive with Gemini Flash and Claude due to its size, speed, and multimodal capability.
  • 💰 The model is 30 times cheaper than GPT-4 and significantly less expensive than GPT-3.5 Turbo, with a cost of 15 cents per million tokens of input and 60 cents per million tokens of output.
  • 👀 GPT-4o Mini includes vision capability built into the model, setting it apart in terms of cost and functionality.
  • 📊 The model's performance is benchmarked in a chart from Artificial Analysis, showing its intelligence (MLU) to price ratio, standing out in its category.
  • 🔮 Future plans for GPT-4o Mini include support for text, image, video, and audio, potentially eliminating the need for separate models for different modalities.
  • 📝 GPT-4o Mini has a token context window of up to 28,000 and is trained with data up to October 2023.
  • 🏆 In the Chatbot Arena, GPT-4o Mini outperformed Claude 3 Opus, showcasing its competitive edge in the AI space.
  • 🔑 The model is versatile, suitable for various applications including Lang chain, Lang graph, and conversational AI.
  • 📈 The model's MLU score is a key benchmark, indicating its general intelligence and outperformance across the board.
  • 💡 GPT-4o Mini also scored well in the Cal score for coding, with an 87% score, outperforming Gemini Flash and Claude.
  • 🔧 The model is already available through the completions API and batch API, with fine-tuning to be rolled out soon.

Q & A

  • What is the new model from OpenAI called?

    -The new model from OpenAI is called GPT-4o Mini.

  • How does GPT-4o Mini compare to its competitors in terms of cost and capabilities?

    -GPT-4o Mini is positioned as a cheaper, faster, and highly intelligent model. It competes with Gemini Flash and Claude Hau, notably due to its multimodal capability, size, and speed. It is 30 times cheaper than GPT-40 and significantly cheaper than GPT-3.5 Turbo.

  • What are the pricing details for GPT-4o Mini?

    -GPT-4o Mini costs 15 cents per million tokens of input and 60 cents per million tokens of output, making it considerably cheaper than GPT-3.5 Turbo.

  • What is the significance of GPT-4o Mini's multimodal capability?

    -GPT-4o Mini's multimodal capability allows it to process and understand multiple types of data such as text, images, and potentially video and audio in the future. This makes it unique among current models and could lead to a shift in choosing models for various applications.

  • What is the current status of GPT-4o Mini's support for different media types?

    -As of the script's date, GPT-4o Mini supports text and vision within the API, with plans to support text, image, video, and audio in the future.

  • How does GPT-4o Mini perform in terms of intelligence as measured by the MLU score?

    -GPT-4o Mini stands out in terms of its MLU score, indicating its intelligence. It is cheaper than Gemini 1.5 Flash and CLA 3 Hiu, and has a significant bump in the MLU score, outperforming many other models.

  • What is the token context window of GPT-4o Mini?

    -GPT-4o Mini has a token context window of up to 28,000.

  • What are the training data details for GPT-4o Mini?

    -The training data for GPT-4o Mini is up to October 2023.

  • How does GPT-4o Mini perform in the Chatbot Arena?

    -In the Chatbot Arena, GPT-4o Mini outperformed CLAE 3 Opus, which was a flagship model, indicating its competitive edge.

  • What are some potential applications for GPT-4o Mini?

    -GPT-4o Mini can be used in various applications such as conversation history scenarios, Lang chain or Lang graph tasks, and creating artifacts like SVGs, React components, and tech company org charts.

  • What is the Cal score of GPT-4o Mini and how does it compare to other models?

    -GPT-4o Mini scored 87% in the Cal score, which is a coding benchmark, outperforming Gemini Flash and Claude Hau which scored 71.5% and 75.9% respectively.

Outlines

00:00

🚀 Introduction to OpenAI's GPD 40 Mini Model

The video introduces a new model from OpenAI, the GPD 40 Mini, which is noted for its affordability, speed, and intelligence. The model is positioned as a competitor to Gemini Flash and Claude Hau, particularly due to its multimodal capabilities. Unlike other open-source models, the GPD 40 Mini stands out for its potential in handling multiple modalities such as text, images, and potentially video and audio in the future. The model is significantly cheaper than its predecessor, GT40, and even more cost-effective compared to GB 3.5 Turbo. It also boasts a built-in vision capability. The video references a benchmark chart from Artificial Analysis, highlighting the model's intelligence-to-price ratio, which places it in a unique category. The GPD 40 Mini is expected to support more modalities in the future, potentially reducing the need for separate services for different types of inputs.

05:02

💡 Benefits and Applications of GPD 40 Mini

The second paragraph delves into the practical benefits and applications of the GPD 40 Mini model. It is highlighted that the model can replace existing models on platforms without significant disruption, potentially leading to immediate improvements in performance and cost efficiency. The model's ability to handle images without additional effort is noted, showcasing its multimodal capabilities. The video demonstrates the model's performance in creating artifacts such as SVG images, React components, and a tech company org chart. The model's coding capabilities are also discussed, with a Cal score of 87%, outperforming Gemini Flash and Claude Hau. The video further mentions partnerships with companies like Ramp and Superhuman, where the GPD 40 Mini has shown superior performance in tasks like data extraction and email response generation. Built-in safety measures are also mentioned, aligning with industry standards. The model is available through the completions and batch APIs, with fine-tuning for GPD 40 Mini expected in the near future. The video concludes with a discussion on the cost reduction trajectory of OpenAI's models, emphasizing the potential for unlocking new use cases.

Mindmap

Keywords

💡GPT-4o Mini

GPT-4o Mini is a new model from OpenAI, which is positioned as a cost-effective and intelligent AI language model. It is designed to be faster and cheaper than its predecessors while maintaining high performance. In the video, it is compared with other models like Gemini Flash and Claude, highlighting its multimodal capabilities and competitive pricing.

💡Multimodal capability

The term 'multimodal capability' refers to the ability of a model to process and understand multiple types of data inputs, such as text, images, and potentially video and audio. The video emphasizes the uniqueness of GPT-4o Mini in offering this feature at a competitive price, setting it apart from other models in the market.

💡Pricing

Pricing is a critical aspect discussed in the video, where GPT-4o Mini is described as significantly cheaper than models like GPT-3.5 Turbo. The script mentions specific costs per million tokens of input and output, demonstrating the economic advantage of using GPT-4o Mini for large-scale applications.

💡MLU (Machine Learning Unit)

MLU, or Machine Learning Unit, is a metric used to measure the intelligence of AI models. The video uses this metric to compare GPT-4o Mini with other models, showing that it offers high intelligence at a lower cost, which is a key selling point for potential users.

💡Vision capability

Vision capability in the context of GPT-4o Mini refers to its ability to process and understand visual data, such as images. The video script mentions that this feature is built into the model, enhancing its multimodal functionality and making it versatile for various applications.

💡Token context window

The 'token context window' is the amount of text that a model can consider at one time for processing. The video mentions that GPT-4o Mini has a context window of up to 28,000 tokens, which is important for handling long documents and maintaining context in its responses.

💡Training data

Training data refers to the information used to teach the AI model how to understand and respond to various inputs. The script specifies that GPT-4o Mini's training data is up to October 2023, indicating the currency and relevance of its knowledge base.

💡Chatbot Arena

Chatbot Arena is a platform mentioned in the video where users can test and compare different AI models by submitting queries and choosing the best response. The video highlights GPT-4o Mini's performance on this platform, outperforming other models like Claude 3 Opus.

💡Lang chain and Lang graph

Lang chain and Lang graph refer to different types of cognitive architectures or models for AI applications. The video suggests that GPT-4o Mini is well-suited for these types of applications, which may involve complex interactions and data processing beyond simple text responses.

💡Cal score

The Cal score is a benchmark specifically for coding capabilities within AI models. The video script states that GPT-4o Mini scored 87% in this benchmark, outperforming other models like Gemini Flash and Claude, which is significant for users interested in AI's coding abilities.

💡Artifacts creation

The video demonstrates GPT-4o Mini's ability to create artifacts such as SVG images, React components, and game code. This showcases the model's versatility and practical application in software development, which is a key feature for developers.

Highlights

OpenAI has unveiled a new model called GPT-4o Mini, which is positioned as a cheaper, faster, and intelligent model.

GPT-4o Mini competes with Gemini Flash and Claude Hau, particularly due to its multimodal capability.

There are no open-source multimodal models currently that can match GPT-4o Mini, Gemini Flash, or Claude Hau.

GPT-4o Mini is 30 times cheaper than GPT-4 and significantly less expensive than GPT-3.5 Turbo.

The model costs 15 cents per million tokens of input and 60 cents per million tokens of output.

GPT-4o Mini includes vision capability within the model.

GPT-4o Mini stands out in terms of intelligence to price ratio on the market.

The model is expected to support text, image, video, and audio in the future.

GPT-4o Mini has a token context window of up to 28,000 and training data up to October 2023.

The model outperformed Claude 3 Opus in a chatbot Arena comparison.

GPT-5 is on the horizon and could potentially be released in the near future.

GPT-4o Mini is designed for various model calls, including Lang chain and Lang graph applications.

The model's MLU score is a key benchmark, indicating its general intelligence.

GPT-4o Mini scored 87% in the Cal score, a coding benchmark, outperforming Gemini Flash and Claude Hau.

The model can create artifacts such as SVGs, React components, and tech company org charts.

Partner companies like Ramp and Superhuman found GPT-4o Mini performed better than GPT-3.5 Turbo for specific tasks.

GPT-4o Mini is available now through the completions API and batch API, with fine-tuning coming soon.

The cost per token of GPT-4o Mini has dropped significantly compared to Text D Vinci 3, released 2 years ago.

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