• •We compared Anthropic's Claude 3 Haiku and OpenAI's GPT-4-Turbo in various AI tasks.
• •Haiku offers faster response times, lower costs, and comparable performance.
• •Claude 3 Haiku could potentially substitute GPT-4-Turbo in 95% of AI applications at 1/25th Cost.
• •Haiku demonstrates better readability and can handle specific tasks more effectively than GPT-4-Turbo in certain situations.

This article presents the details of our tests and their results, highlighting Haiku's strengths.

Claude 3 Haiku: Haiku is Anthropic's newest, fastest, and most streamlined model, delivering near-instant replies.

GPT-4-Turbo: OpenAI's flagship model, renowned for its versatility in tasks ranging from writing to programming, has set the benchmark for excellence over the past year.

We created a knowledge base for a virtual AI company and asked most of the questions based on this information.

After running almost 100 different prompts, here are the results of each model's performance:

Speed Comparison:

• •Haiku's average generation time is 78% faster than GPT-4-preview-0125 (2.283s vs 10.475s)
• •Haiku's time to first token (TTFT) is 58% faster than GPT-4-preview-0125 (0.45s vs 1.07s)

Cost comparison:

• •Haiku's average cost per request is 95% lower than GPT-4 ($0.00032 vs $0.007)
• •Input Pricing: Haiku - $0.25 / MTok, GPT-4-Turbo - $10.00 / MTok
• •Output Pricing: Haiku - $1.25 / MTok, GPT-4-Turbo - $30.00 / MTok

Evaluation tests:

We conducted evaluation tests on Keywords AI, a critical component in natural language processing tasks. The results are as follows:

• •GPT-4-0125-preview: Context Precision: 0.96, Faithfulness: 0.97, Readability: 0.85, Relevance: 0.94
• •Claude-3-haiku: Context Precision: 0.92, Faithfulness: 0.91, Readability: 0.88, Relevance: 0.94
• •Haiku demonstrates better readability than GPT-4-preview-0125 (0.88 vs 0.85)
• •Both models have similar performance in context precision, faithfulness, and relevance

Interesting Observation:

When using the "Airportcode extractor" prompt from OpenAI's prompt library, GPT-4 couldn't solve the problem, while Haiku successfully extracted the airport codes.

Based on our extensive testing and analysis, Claude 3 Haiku has proven to be a strong contender against GPT-4 in various AI tasks.

With its faster response times, lower cost per request, and comparable performance in key evaluation metrics, Haiku could potentially substitute GPT-4 in most AI applications.

As AI continues to advance, models like Claude 3 Haiku will play a crucial role in shaping the future of natural language processing and AI-driven solutions.

Visit Keywords AI and click on "Dashboard"

Choose the models you want to test in Playground and run requests!

Check / Export your every single request on the Request page.

Turn on the evaluations you want to run and see the result!

Best of all, integrating Keywords AI into your codebase is a snap, requiring only a couple of lines of code.

This means you can quickly and effortlessly incorporate state-of-the-art AI models into your projects and applications.