{"slug": "classify-6700-pages-for-1-with-a-jev-compatible-vlm-api", "title": "Classify 6700 pages for $1 with a Jev-compatible VLM API", "summary": "VLM Run launched a Jev-compatible vision-language model API in its gateway that classifies documents at $1 per 6,700+ pages, with the full 1,651-page OmniDocBench run costing 25 cents. The API reads pages as pixels without an OCR-to-LLM pipeline and returns one typed, calibrated decision per page at roughly 180ms p50 end-to-end latency. Sign-up and trial of the gateway are free.", "body_md": "You can now classify documents with open-weight VLMs at ultra-low cost with our \n\n[@typesafeai](https://twitter.com/typesafeai)Jev-compatible API in the[@vlmrun](https://twitter.com/vlmrun)gateway! $1 buys you 6700+ pages, and the full 1,651-page OmniDocBench run cost 25 cents. It reads the page as pixels (no OCR->LLM hacks) and hands back one typed, calibrated decision per page - ~180ms p50 e2e. Jev really opened developers' eyes to re-thinking how we process data at the cost-pareto front. A week later we're bringing that to our APIs with vision as a first-class citizen. Try our gateway today - free to sign-up and try!\n00:00", "url": "https://wpnews.pro/news/classify-6700-pages-for-1-with-a-jev-compatible-vlm-api", "canonical_source": "https://twitter.com/spillai/status/2104652597248561477", "published_at": "2026-09-29 02:02:00+00:00", "updated_at": "2026-09-29 02:17:36.687953+00:00", "lang": "en", "topics": ["ai-products", "ai-tools", "computer-vision", "large-language-models", "ai-infrastructure"], "entities": ["VLM Run", "Jev", "OmniDocBench"], "also_reported_by": [], "alternates": {"html": "https://wpnews.pro/news/classify-6700-pages-for-1-with-a-jev-compatible-vlm-api", "markdown": "https://wpnews.pro/news/classify-6700-pages-for-1-with-a-jev-compatible-vlm-api.md", "text": "https://wpnews.pro/news/classify-6700-pages-for-1-with-a-jev-compatible-vlm-api.txt", "jsonld": "https://wpnews.pro/news/classify-6700-pages-for-1-with-a-jev-compatible-vlm-api.jsonld"}}