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Michelle Chen (@michellechen) says hosting a model on Workers AI requires…

2026-07-31 · 18:20 UTC ·@michellechen ·1 min read

Brief

Michelle Chen outlines a staged deployment approach for models: evaluate economics, demand, and capacity; run market tests on OpenRouter to collect data and fall back to other providers if a model is torn down; once confident, migrate models onto Workers AI with longer-term commitments. She announced DeepSeek 0731 live on OpenRouter on 2026-07-31 and thanked the OpenRouter team.

Why it matters

Michelle Chen (@michellechen) says hosting a model on Workers AI requires assessing economic viability, expected demand, and available capacity before committing to run it long-term.

Key details

  • She tests models on OpenRouter (openrouter.ai) to launch them into market and gather usage data; if a model must be torn down, traffic is routed to other providers, then stable models are migrated to Workers AI for longer commitments.
  • On 2026-07-31 she announced DeepSeek 0731 deployed on OpenRouter and credited the OpenRouter team for enabling rapid experimentation.
Source evidence

when we host a model on workers ai, we have to consider if we're going to be able to serve a model economically + what demand looks like + what capacity we have.
testing models on @OpenRouter allows us to launch these things in market and gather data. if we have to tear a model down, your traffic gets routed to other providers. once we're confident in our deployment, then we bring it on platform for Workers AI users, where we commit to running the model for longer.
it's been a joy to work with openrouter team to enable us to experiment with models quickly 🧡

michelle (@michellechen)

first to get deepseek 0731 up on @OpenRouter
openrouter.ai/deepseek/deeps…

— https://nitter.net/michellechen/status/2083252861937275038#m