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AI Model Ox Alpha Is Free, Beats Claude Fable, and Nobody Knows Who Built It

Brave/tech.yahoo.com · 2026年8月25日 04:31 · 阅读约 5 分钟
AI Model Ox Alpha Is Free, Beats Claude Fable, and Nobody Knows Who Built It

AI Model Ox Alpha Is Free, Beats Claude Fable, and Nobody Knows Who Built It

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AI Model Ox Alpha Is Free, Beats Claude Fable, and Nobody Knows Who Built It

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AI Model Ox Alpha Is Free, Beats Claude Fable, and Nobody Knows Who Built It

Jose Antonio Lanz

Mon, August 24, 2026 at 8:46 PM UTC

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Mon, August 24, 2026 at 8:46 PM UTC

AI enthusiasts are getting very excited about an AI model called Ox Alpha, which appeared on OpenRouter on August 20 with no company name attached.

The listing describes it as "a reasoning model designed for coding, sustained agentic work, and production workloads," built by a third-party provider that has chosen to stay anonymous during the preview.

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What's more, the mystery AI model already tops Anthropic's Claude Fable 5 and OpenAI's GPT-5.6 Sol on impressive coding benchmarks.

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DeepSWE—a benchmark that scores how often a coding agent resolves real GitHub issues correctly on its first attempt, measured as a percentage of tasks passed across 113 tasks pulled from 91 repositories—shows that Ox Alpha is competitive against the best models.

Developer Ben Davis ran an initial 10-task sample and got Ox Alpha to 80% on the first pass, ahead of Claude Fable 5's 65% and GPT-5.6 Sol's 52%. That number went viral within a day, and versions of it are still circulating as if Ox Alpha has a clean edge over both models.

I ran this thing through 10 tasks on DeepSWE (so there could be a ton of variance in it's real score, this is a subset), but uh...

gpt-5.6-sol: 52%

fable: 65%

whatever the hell this is: 80% (was a near miss on the "x"s so actually over 80%)

I am very confused https://t.co/VfH6n5i7xc pic.twitter.com/NdDSTjoHLj

— Ben Davis (@davis7)

August 21, 2026

As of August 22, Ox Alpha still had no entry on Artificial Analysis or LMSys Arena.

The model is free to use, reads up to roughly 1 million tokens in a single context window, and takes text, image, and video as input while returning text. It also suppor


来源: Brave/tech.yahoo.com

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