webAI Releases TwIL-8B, an 8.8B Reasoning Model Scoring 98.2 on MATH-500

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.

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. The 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 .