Home icon

Benchmarking Amazon Nova and GPT-4o models with FloTorch

Machine Learning Blog



FloTorch conducted a comprehensive benchmark comparing Amazon Nova models with OpenAI's GPT-4o models using the CRAG dataset, focusing on latency, accuracy, and cost across five diverse topics.

  • Amazon Nova Pro was 97% faster and 65.26% more cost-effective than GPT-4o
  • GPT-4o showed a slight 1.5% accuracy advantage over Amazon Nova Pro
  • Amazon Nova Micro and Lite outperformed GPT-4o-mini by 2-4 percentage points in accuracy
  • Amazon Nova Micro and Lite were 10-56% cheaper than GPT-4o-mini
  • Amazon Nova models demonstrated 20-48% faster response times

The study suggests that Amazon Nova models offer comparable or superior performance to GPT-4o models, particularly in terms of cost and speed, making them attractive for enterprise AI applications.



Go to article

The AWS News Feed is currently looking for gold sponsors. If you want to support the AWS community and reach a large audience of AWS professionals, consider sponsoring the AWS News Feed.

Related articles

Jul 24
2025
Benchmarking Amazon Nova: A comprehensive analysis through MT-Bench and Arena-Hard-Auto
Mar 13
2025
Benchmarking customized models on Amazon Bedrock using LLMPerf and LiteLLM
Nov 19
2024
Benchmarking Amazon Aurora Limitless with pgbench
Aug 19
2025
Benchmarking document information localization with Amazon Nova

The AWS News Feed is currently looking for silver sponsors. If you want to support the AWS community and reach a large audience of AWS professionals, consider sponsoring the AWS News Feed.