{"slug": "increasing-performance-of-jev", "title": "Increasing Performance of Jev", "summary": "SERV Reasoning, an API from OpenServ, pushed the model Jev into the top tier of a benchmark that also evaluates leading AI models, beating Claude Fable 5 at 30x lower cost, GPT-5.5 at roughly 15-20x lower cost, Gemini 3.5 Flash at about 15x lower cost, and Grok 4.3 at roughly 6-7x lower cost. Jev, described as a new frontier AI model trained with a method called RLCD and claimed to be 20-200x faster, materially outperformed its standalone results when paired with SERV, which adds a reasoning layer for high-volume agentic work. The SERV Reasoning API is live for developers to test and deploy.", "body_md": "Jev is seriously impressive. SERV makes it better.\nWe put Jev through the same benchmark we use to evaluate leading AI models, testing it both standalone and armed with SERV Reasoning.\nPaired with SERV, Jev moves into the top tier of our benchmark, beating Claude Fable 5 at 30x lower cost, with cost similar advantages over GPT-5.5 (~15–20x), Gemini 3.5 Flash (~15x), and Grok 4.3 (~6–7x).\nThe result is clear: Jev + SERV materially outperformed Jev on its own.\nJev is extremely fast, well designed, and great at decision-making. Instead of relying on open-ended responses, it produces structured decisions with probability scores attached. SERV pushes that performance further, adding a stronger reasoning layer to improve the quality of those decisions for high volume agentic work.\nThe SERV Reasoning API is live, so any developer can test and deploy SERV Reasoning today in just a couple minutes. Get access at: \n\n[openserv.ai](http://openserv.ai)The agentic economy won’t scale on better models alone. It needs better reasoning infrastructure that are finetuned to the reliability, auditability, and affordability requirements of enterprise agents. SERV is building that layer.\nAfter co-inventing ChatGPT, I kept asking myself: why have superhuman chat models not led to AGI?\nI’ve spent the last 2 years in stealth building a new way to train models (RLCD), and a new type of frontier AI model that we are releasing today: Jev\n• 20-200x faster\n• 40-400x \n\n00:00", "url": "https://wpnews.pro/news/increasing-performance-of-jev", "canonical_source": "https://twitter.com/openservai/status/2101344580419440921", "published_at": "2026-09-22 15:07:20+00:00", "updated_at": "2026-09-22 15:25:18.836559+00:00", "lang": "en", "topics": ["ai-agents", "ai-products", "ai-tools", "ai-research", "large-language-models"], "entities": ["Jev", "SERV Reasoning", "OpenServ", "Claude Fable 5", "GPT-5.5", "Gemini 3.5 Flash", "Grok 4.3", "ChatGPT"], "alternates": {"html": "https://wpnews.pro/news/increasing-performance-of-jev", "markdown": "https://wpnews.pro/news/increasing-performance-of-jev.md", "text": "https://wpnews.pro/news/increasing-performance-of-jev.txt", "jsonld": "https://wpnews.pro/news/increasing-performance-of-jev.jsonld"}}