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WebAI releases TwIL-8B reasoning model, outperforming peers on math and code

By PulseAugur Editorial · [1 sources] ·

WebAI has released TwIL-8B, an 8.8 billion parameter reasoning model designed for math, code, and instruction following tasks. This model is a post-trained version of IBM's Granite 4.2 8B and is available on Hugging Face under a non-commercial license. TwIL-8B excels in its size class for math and code benchmarks, achieving a score of 98.2 on MATH-500, but it trails on knowledge-intensive tasks like GPQA Diamond. AI

IMPACT Sets a new performance benchmark for smaller reasoning models, potentially enabling more efficient AI applications on less powerful hardware.

RANK_REASON Frontier-lab model release with system card and benchmark results. [lever_c_demoted from frontier_release: ic=1 ai=1.0]

Read on MarkTechPost →

AI-generated summary · Google Gemini · from 1 sources. How we write summaries →

WebAI releases TwIL-8B reasoning model, outperforming peers on math and code

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80 / 100
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Significant
Frontier-lab model release with system card and benchmark results. [lever_c_demoted from frontier_release: ic=1 ai=1.0]
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model release, product
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COVERAGE [1]

  1. MarkTechPost TIER_1 English(EN) · Asif Razzaq ·

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

    <p>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.</p> <p>The post <a href="https://www.marktechpost.com/2026/11/04/webai-twil-8b-rea…

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