---
format: "aidr-story-markdown/v1"
id: "b0c94751374cda3ba960e2114d20ccec87c439ddbb661d2455038f0f8faa875b"
canonical_url: "https://aidr.today/b0c94751?lang=en"
title: "webAI Releases TwIL-8B, an 8.8B Reasoning Model Scoring 98.2 on MATH-500"
lang: "en"
requested_lang: "en"
available_langs: ["en","vi"]
translation_fallback: null
fallback_fields: []
published_at: "2026-11-04T22:25:05.000Z"
category: "Models"
topics: ["reasoning"]
source_urls: ["https://www.marktechpost.com/2026/11/04/webai-twil-8b-reasoning-model/"]
summary: "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. The model trails similar-size models on knowledge benchmarks."
---

# webAI Releases TwIL\-8B, an 8\.8B Reasoning Model Scoring 98\.2 on MATH\-500

> [Open the canonical story](<https://aidr.today/b0c94751?lang=en>)

**Published:** 2026-11-04T22:25:05.000Z
**Category:** Models
**Topics:** reasoning

## Summary

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\. The model trails similar\-size models on knowledge benchmarks\.

## Sources

- [Story source](<https://www.marktechpost.com/2026/11/04/webai-twil-8b-reasoning-model/>)