Train Smart. Spend Less.

Model the financial impact of your LLM projects before they scale

Training Cost Breakdown

Estimate training & inference costs with precision.

( TCO Coming Soon)

Model Costs. Optimize Config. Save GPU Hours.

See how your costs stack up against industry leading LLMs.

Optimize your Setup
Compare with the Best

Why Cost Matters

Training and running large language models isn’t just about compute—it’s a major financial commitment that can quickly escalate without careful planning.

The architecture you choose and the hardware you run it on can make or break your AI budget. Model size, layer design, parallelization strategy, and GPU type all have a direct impact on both training and inference costs, often by orders of magnitude.

Without understanding these relationships upfront, teams risk overpaying for performance they don’t need or missing cost-saving optimizations. Our tools help you model these factors before you commit, so every design choice is also a smart financial one.

What's Coming Next

  • Full stack TCO analytics

  • Peer Benchmarking & Insights

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A computer screen displaying a webpage about ChatGPT, focusing on optimizing language models for dialogue. The webpage has text describing the model and includes the OpenAI logo. The background is green with some purple graphical elements on the side.
A computer screen displaying a webpage about ChatGPT, focusing on optimizing language models for dialogue. The webpage has text describing the model and includes the OpenAI logo. The background is green with some purple graphical elements on the side.

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