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LLMs for research: quality, speed and cost. Comparison with Pi, replaying project tickets from Imperial Dragon Harness workflows

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  • Minh Ha-Duong

    (CIRED - Centre International de Recherche sur l'Environnement et le Développement - Cirad - Centre de Coopération Internationale en Recherche Agronomique pour le Développement - EHESS - École des hautes études en sciences sociales - AgroParisTech - Université Paris-Saclay - CNRS - Centre National de la Recherche Scientifique - ENPC - École nationale des ponts et chaussées - IP Paris - Institut Polytechnique de Paris)

Abstract

Twenty hosted and local language-model configurations replay ten tickets randomly sampled from research project histories. A single model completes each task and reviews its own output; three blinded judge models score the deliverable out of 30. The report compares quality, elapsed time and direct cost per ticket, with Pareto frontiers, paired Wilcoxon tests (no comparison survives Holm correction), distributions of paired differences, and a selection guide by confidentiality, delay, budget and available hardware.

Suggested Citation

  • Minh Ha-Duong, 2026. "LLMs for research: quality, speed and cost. Comparison with Pi, replaying project tickets from Imperial Dragon Harness workflows," CIRED Working Papers hal-05847479, HAL.
    • Handle: RePEc:hal:ciredw:hal-05847479
    Note: View the original document on HAL open archive server: https://hal.science/hal-05847479v1
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