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OpenAI Jev decision model launch
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OpenAI launched Jev, a decision model based on GPT-6 Luna designed for faster inference and lower token usage than traditional LLMs. TypeSafe's Jev reached $7.5B valuation and over $100M ARR within three weeks of launch, driven by adoption for agent evaluation and decision-making tasks.
- Jev valued at $7.5B with >$100M ARR just 3 weeks post-launch
- Built on GPT-6 Luna architecture; positioned as faster, more token-efficient alternative to LLMs
- Use cases include agent evaluation and decision-making workflows
- Simon Willison released LLM plugin enabling prompt routing to Jev
- Benchmarked against Haiku 4.5, GPT-5.4-mini, and Gemini 3.5 Flash
[HN]hacker news4
What we learned building 38 projects with Jev in 12 hours
Jev isn't a better judge than Claude
Jev-as-a-Judge for Agent Evaluations
Hands-on comparison of Jev with Haiku 4.5, GPT-5.4-mini, and Gemini 3.5 Flash