Test Results: Claude Haiku can substitute GPT-4 in 95% of AI tasks at 4% Cost
TL;DR
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.
Intro
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.
Test results
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 "Airport code extractor" prompt from OpenAI's prompt library, GPT-4 couldn't solve the problem, while Haiku successfully extracted the airport codes.
Conclusion
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.
How You Can Run Your Own Tests
Visit Keywords AI and click on "Get Started"
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:
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This means you can quickly and effortlessly incorporate state-of-the-art AI models into your projects and applications.