Jev hits 32% of OpenRouter classification requests in 2 weeks; orgs now juggle 12 models
Tiancaixinxin · x · 2026-10-08
Citing Peter Walker's OpenRouter presentation, Tiancaixinxin summarizes where AI inference demand is heading:
- Jev's rapid rise: within just 2 weeks it captured a 32% weekly share of all classification requests on OpenRouter, based on real user data.
- More model churn: org users now switch across an average of 12 models, up from 8 in January.
- Uneven task migration: file read/write, shell execution, devops config, frontend UI, debugging, and SQL workloads move quickly to new models, while users stick to familiar ones for security audits, research, finance/trading, math, writing, roleplay, summarization, and support.
Related event: OpenRouter Report: Open-Source Models Hit 60% Share, Chinese Models ~70%(5 posts)→
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