Now Supporting Bedrock GPT OSS in AI Model Cost Recommendations

Save up to 93 % on LLM spend while increasing speed and quality

nOps AI Model Provider Recommendations give you side-by-side guidance on when to switch AI models — such as from OpenAI to Amazon Bedrock — to cut costs by an order of magnitude while maintaining or improving speed and quality.

In the example below, a conversational service running GPT-4o costs $33,785.71 per month. Our engine flagged that the same prompt mix fits GPT OSS 120B on Bedrock just as well, bringing projected spend down to $2,257.65: a savings of $31,528.06 (93%) and quality increase of 20.32%. In another example, our engine suggested switching from Gemini 2.5 Flash to GPT OSS 120B to reduce cost by 53% — with an increase of 4.94% in quality.

AI provider recommendations in the nOps UI

View potential savings, quality score, and other key metrics

What's New

nOps automatically detects your OpenAI models and assesses latency, context-window and function-calling needs. It calculates token economics using the latest model provider pricing from Amazon, OpenAI, Claude, Llama, to select and recommend the most cost-efficient Bedrock model tier that meets your requirements—no guesswork needed.

Each recommendation includes a clear explanation of the proposed model switch, including pricing, capabilities, and projected savings.

Recommendation details include cost, speed and latency benchmarking

How to Get Started

To access the new recommendations, log in to nOps. Navigate from Cost Optimization to the AI Model Provider Recommendations dashboard.

If you're already on nOps...

Have questions about AI Model Provider Recommendations? Need help getting started? Our dedicated support team is here for you. Simply reach out to your Customer Success Manager or visit our Help Center. If you’re not sure who your CSM is, send our Support Team an email.

If you’re new to nOps…

Ranked #1 on G2 for cloud cost management and trusted to optimise $5B+ in annual spend, nOps gives you automated GenAI savings with complete confidence. Book a demo to start saving on LLM cost without compromising on performance.

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