Which AI API is Best For Creating Software: OpenAI's ChatGPT, Google's Gemini, or Anthropic's Claude

Summary

This video explores the burgeoning AI industry, focusing on three major AI providers: OpenAI, Google's Gemini, and Anthropic. It discusses the importance of cost, model performance, and stability when integrating AI into software. OpenAI's GPT-4 is currently the most advanced, while Google's Gemini is in a training phase. Anthropic offers a potential insurance option for production-level software. The video emphasizes the need to choose the right AI provider for long-term success in software development, highlighting the competitive pricing and the potential of AI to revolutionize the industry.

Takeaways

• 🚀 The artificial intelligence industry is emerging as a prosperous sector for the next five years, with integrated software being a key component.
• 🤖 The choice of AI provider is crucial for software development, with cost, performance, and stability being important factors.
• 💰 Understanding the cost associated with different AI models is essential, especially considering the impact on revenue and profit at scale.
• 📊 OpenAI's GPT-4 is currently the most advanced model, costing around one penny per thousand tokens for input and three pennies for output.
• 🔍 GPT-3.5 Turbo is a significant model for comparison in terms of output quality and is priced at 0.005 per thousand tokens for input and 0.015 for output.
• 🌐 Google's Gemini model is in a training phase, offering free access but with limited API capabilities as of now.
• 📈 The cost comparison between GPT-3.5 and Gemini Pro shows a 100% increase for OpenAI, although the difference is minimal in terms of actual cost.
• 🔄 As Google's AI is still learning from user data, it's currently free to use, but this may change with the release of Google AI Studio.
• 📉 Anthropic's pricing for its model is similar to OpenAI's, but there are concerns about its performance relative to the cost.
• 🛡 Using multiple AI providers can act as an insurance policy against API downtime or performance issues, with Anthropic being a potential alternative.
• 📚 The script suggests that developers should learn OpenAI's API documentation and consider it for software development as of February 2024.

Q & A

What is the emerging industry discussed in the video script?

The emerging industry discussed is artificial intelligence integrated software, which is expected to be very prosperous in the next 5 years.

Why is it important to consider the cost associated with AI models?

The cost is important because even a small difference in cost per run can significantly impact revenue and profit, especially with a large number of users.

What is the current most advanced AI model according to the script?

As of the date of the script, the most advanced model is OpenAI's GPT-4, which costs around one penny per 1000 tokens and three pennies per 1000 tokens output.

How does the cost of OpenAI's GPT-3.5 Turbo compare to Google's Gemini Pro?

The cost of OpenAI's GPT-3.5 Turbo is 100% more than Google's Gemini Pro, but this is a small difference in terms of fractions of pennies.

What is the current status of Google's Gemini Pro in terms of API access?

As of the script's date, Gemini Pro is in a training stage and is free to use, but it's not yet ready for production-level software.

What pricing strategy does Anthropic use for its AI model?

Anthropic charges $8 for 200,000 tokens, which equates to approximately a penny per 1000 tokens for both input and output.

Why might a developer consider using Anthropic as an alternative to OpenAI?

A developer might use Anthropic as an insurance play to ensure continuity in case OpenAI's API experiences downtime or performance issues.

What is the significance of the exponential cool-off strategy mentioned in the script?

The exponential cool-off strategy is a method to retry API calls with increasing intervals when encountering errors, helping to manage API downtime gracefully.

How does the script suggest handling API downtime for a production-level software?

The script suggests using an alternative AI provider like Anthropic if the primary provider's API is down for an extended period, ensuring the software remains functional.

What is the script's perspective on the future of AI provider pricing?

The script suggests that competition has lowered prices, and it is a positive trend for the market, as it makes AI more accessible and affordable.

What advice does the script give for software developers considering AI integration?

The script advises developers to learn the OpenAI API documentation and proceed with OpenAI as the current leader in AI, while keeping an eye on the performance of other providers like Gemini and Anthropic for long-term decisions.