AI
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
- Data never leaves infrastructure. Compliance requirement.
- No per-query pricing. Fixed costs, near-zero marginal.
- No vendor lock-in. Your strategy isn't hostage to vendor earnings.
The practical path: hybrid
- Routine tasks → open-source.
- Hard problems → frontier APIs.
- Test open-source quarterly.
- Invest in MLOps early.
