Models · Pricing and access · Companies and people
Harvey, Abridge and Ramp moved from frontier lab APIs to open-weight models
According to Bloomberg, cost pressure forced the change. At legal AI company Harvey, margins fell from about 50% to minus 50% after token usage rose twentyfold this year following a March update. It was selling a fixed annual seat while buying a metered input, and agents broke that ratio. Margins turned positive again after Harvey trained its own model on Moonshot’s open-weight Kimi K3 in August. Abridge is building a clinical model on Nvidia’s open weights, and Ramp is weighing training for the first time.
Sources
- Bloomberg, “Startups Like Harvey Embrace Open Models to Cut Reliance on Anthropic, OpenAI”, (bloomberg.com)
- Harvey, “Harvey Tenet Research Preview”, (harvey.ai)
- NVIDIA, “Nemotron Labs: How Open Models Give Enterprises and Nations AI They Can Trust, Control and Customize”, (blogs.nvidia.com)
About this story
This story was posted on Instagram by @jarrus.tech on Sept. 27, 2026.
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This story in Turkish: Harvey, Abridge ve Ramp büyük laboratuvarların API’leri yerine açık ağırlıklı modellere geçti
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