Open-weight models are so cheap they break the closed-source pricing model

The Unbearable Cheapness of Open Weight Models

The author noticed DeepSeek V4 costs $0.09 vs Anthropic's $5.00—a ~50x gap. He argues Anthropic and OpenAI are trapped by high cost structures and can't compete on price. The post speculates they'll lean on scarcity branding and China-fear lobbying instead of cutting prices. It also points to Allen AI's OLMo as the real open-source path, with training data included. No performance benchmarks are provided; the price delta is the only hard number.

Why it matters: The author uses a real pricing comparison to surface the structural cost tension between open-weight and closed-source labs. The 50x gap is a hard number, not rhetoric. The body is truncated so the full argument is missing — score stays at the featured threshold without a bump.