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GPU prices rise while LLM token costs plummet, data shows

A tool developed by Smart Inference has tracked GPU and token prices, revealing a divergence in market trends. While the cost of newer GPUs like the NVIDIA H100, H200, and B200 has increased by approximately 20-25% from June to October, older hardware such as the A100 has seen a price decrease. Concurrently, the price for inference tokens from newer open-source models like DeepSeek V4 and GLM-5 has plummeted by up to 77%, despite the models themselves remaining unchanged and hardware costs rising. This suggests that model providers may be subsidizing inference costs, making it more economical to rent tokens than to operate one's own GPUs for many workloads. AI

IMPACT Shifts the cost-benefit analysis for AI operators, potentially favoring token rentals over self-hosted GPUs for newer models.

RANK_REASON The item discusses market trends and pricing data related to AI infrastructure and models, offering analysis and theories rather than announcing a new product or research.

Read on dev.to — LLM tag →

AI-generated summary · Google Gemini · from 1 sources. How we write summaries →

GPU prices rise while LLM token costs plummet, data shows

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The item discusses market trends and pricing data related to AI infrastructure and models, offering analysis and theories rather than announcing a new product or research.
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COVERAGE [1]

  1. dev.to — LLM tag TIER_1 English(EN) · Paul Piper ·

    Learnings from tracking GPU and token prices for fun

    <p>Part of my job, and honestly part of my hobby, is watching prices. Not all of them, of course (I mean, what a lunatic must you be), but specific ones: GPU and inference endpoints. A while back I noticed that they differ immensely across providers, so I built a tool. Smart Infe…