Summarizing 1,000 AI Papers Costs Just $4 with DeepSeek V4 Flash
nutlope · x · 2026-08-20
A developer benchmarked the inference cost of summarizing the top 1,000 AI research papers from the last year (30,681 pages) using DeepSeek V4 Flash, GPT 5.6 Luna, and Claude Haiku 4.5.
- Results: All models completed the task. DeepSeek V4 Flash was the cheapest, totaling $3.99 in model inference ($0.003995 per paper).
- Scale: The experiment involved extracting 102.7 million characters.
- Code: The project is open-source, providing full results and a cost analysis of using hosted models for large-scale document processing.
More from Infra
- LithosAI launches ultra-fast inference with Kimi K3 at 800+ tokens/s — JiaZhihao · 2026-08-20
- Baseten Hires: Inference Will Be the Largest Market Ever — philipkiely · 2026-08-20
- Deploy Qwen3.8-27B on Hugging Face for $5/hour with auto-scaling — victormustar · 2026-08-20
- Rural Residents Push Back Against Data Centers as Tech Giants Pivot Marketing — dinabass · 2026-08-20
- Startup Helps Wall Street Price AI Compute Amid Surge — TechCrunch AI · 2026-08-20
- AI uses 10x energy of a Google search, facing infrastructure supply cliff — ingliguori · 2026-08-20