Comparing OpenAI Models on AWS for Workload Efficiency
Organizations often compare models based solely on the price per million tokens, but this overlooks critical factors like how often a model is correct and the number of tokens needed. This post uses an open-source benchmark to measure these multipliers across five models: gpt-5.6-luna, gpt-5.6-terra, gpt-5.6-sol from Amazon Bedrock, and two OpenAI API baselines (gpt-5.4-mini and gpt-5.4-nano).…
Key points
- luna from Amazon Bedrock is cheaper per token than OpenAI API baselines
- gpt-5.6-luna outperforms other models in terms of accuracy and cost per outcome
- gpt-5.6-luna achieves higher rubric scores for professional deliverables
The story so far
8 episodes →- Comparing OpenAI Models on AWS for Workload Efficiencythis story
Beyond the price per token: Choosing the right OpenAI model on Amazon Bedrock for your workload
AWS Machine Learning Blog · 11 September 2026
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