The open-source AI revolution: paying for GPT may not be necessary anymore

DeepSeek and Qwen went from 1% to 15% market share in one year.

Open-source AI models led by DeepSeek and Alibaba's Qwen went from 1% to 15% market share in twelve months — the fastest adoption curve in AI history. The "you need to pay for good AI" assumption is crumbling.

The models

  • DeepSeek V4: 1T parameters, 1M token context, multimodal. Outscores GPT-4.5 on coding. Free if self-hosted.
  • Qwen 3.5: Runs on iPhones and laptops. GPT-4 class performance on phone hardware.
  • Mistral Small 4: 119B parameters, Apache 2.0 licensed. 6B active per query.

Case for self-hosted AI

  1. Data never leaves infrastructure. Compliance requirement.
  2. No per-query pricing. Fixed costs, near-zero marginal.
  3. No vendor lock-in. Your strategy isn't hostage to vendor earnings.

The practical path: hybrid

  1. Routine tasks → open-source.
  2. Hard problems → frontier APIs.
  3. Test open-source quarterly.
  4. Invest in MLOps early.