Open Source AI Finally Moves Beyond Benchmarks to Real Work
Source: Semianalysis
DeepSeek's R1 proved open models could match closed competitors on test scores, but the January 2025 moment meant little without actual adoption. The past two months have seen open models deployed in production systems where they're generating genuine economic value. The threshold has shifted from "can it score well?" to "will anyone bet their workflow on it?" That's where the real competitive pressure on OpenAI and Anthropic begins, since enterprises optimize for cost and latency once reliability thresholds are met. Open source isn't catching up in capability; it's catching up in the only metric that matters: being trusted enough to run the business.