Undergrad AI researchers say one benchmark run can burn 2 million tokens
SNRU_VEVO · reddit · 2026-07-27
An undergraduate research team working on AI agents for cloud reliability says benchmark runs are becoming too expensive because of frontier-model token usage.
- They are testing agents in simulated cloud environments and processing large logs and traces.
- Even with compression and cheaper models for simple parsing, they still need frontier models for harder reasoning steps.
- A single benchmark run can consume 1.5 to 2 million tokens, and hundreds of runs may exceed their budget.
- They are already pooling student credits and using OpenRouter or Groq, and are looking for other cheap or free ways to access frontier models for academic benchmarking.
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