{"slug": "webai-releases-twil-8b-an-8-8b-reasoning-model-scoring-98-2-on-math-500", "title": "webAI Releases TwIL-8B, an 8.8B Reasoning Model Scoring 98.2 on MATH-500", "summary": "WebAI released TwIL-8B, an 8.8B-parameter reasoning model post-trained from IBM Granite 4.2 8B, which scores 98.2 on MATH-500 and 81.6 on LiveCodeBench while trailing similar-size models on knowledge benchmarks. The release gives developers a compact reasoning model tuned for math and code tasks, though its weaker knowledge-benchmark results mark a trade-off against general-purpose peers.", "body_md": "webAI released TwIL-8B, an 8.8B reasoning model post-trained from IBM Granite 4.2 8B. It posts 98.2 on MATH-500 and 81.6 on LiveCodeBench, but trails similar-size models on knowledge benchmarks.\n\nThe post [webAI Releases TwIL-8B, an 8.8B Reasoning Model Scoring 98.2 on MATH-500](https://www.marktechpost.com/2026/11/04/webai-twil-8b-reasoning-model/) appeared first on [MarkTechPost](https://www.marktechpost.com).", "url": "https://wpnews.pro/news/webai-releases-twil-8b-an-8-8b-reasoning-model-scoring-98-2-on-math-500", "canonical_source": "https://www.marktechpost.com/2026/11/04/webai-twil-8b-reasoning-model/", "published_at": "2026-11-04 22:25:05+00:00", "updated_at": "2026-11-04 23:19:31.070145+00:00", "lang": "en", "topics": ["artificial-intelligence", "machine-learning", "large-language-models", "ai-research"], "entities": ["webAI", "TwIL-8B", "IBM", "Granite 4.2 8B", "MATH-500", "LiveCodeBench", "MarkTechPost"], "also_reported_by": [], "alternates": {"html": "https://wpnews.pro/news/webai-releases-twil-8b-an-8-8b-reasoning-model-scoring-98-2-on-math-500", "markdown": "https://wpnews.pro/news/webai-releases-twil-8b-an-8-8b-reasoning-model-scoring-98-2-on-math-500.md", "text": "https://wpnews.pro/news/webai-releases-twil-8b-an-8-8b-reasoning-model-scoring-98-2-on-math-500.txt", "jsonld": "https://wpnews.pro/news/webai-releases-twil-8b-an-8-8b-reasoning-model-scoring-98-2-on-math-500.jsonld"}}