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title: AI models get better at math but still get low marks
description: The ORCA Benchmark, consisting of 500 practical math questions, evaluated a new round of leading LLMs including ChatGPT 5.2, Gemini 3 Flash, Grok 4.1, and...
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og:description: The ORCA Benchmark, consisting of 500 practical math questions, evaluated a new round of leading LLMs including ChatGPT 5.2, Gemini 3 Flash, Grok 4.1, and...
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# AI models get better at math but still get low marks

**[The Register](https://daily.dev/sources/theregister)** · 5 min read · 1 upvotes · 0 comments

## Summary

The ORCA Benchmark, consisting of 500 practical math questions, evaluated a new round of leading LLMs including ChatGPT 5.2, Gemini 3 Flash, Grok 4.1, and DeepSeek V3.2. Gemini 3 Flash led with 72.8% accuracy, while others scored between 54–60%. All models improved except Grok 4.1, which regressed. A key finding is that calculation errors now account for 39.8% of all mistakes, up from 33.4%, while models have gotten better at making math look correct through formatting. Researchers attribute the persistent failures to LLMs being prediction engines rather than logic engines, essentially pattern-matching rather than truly calculating. Potential mitigations include function calling to offload arithmetic to deterministic systems, and formal proof verification using tools like Lean.

## Full article

daily.dev links to this article rather than hosting it. Read it at the original source: <https://go.theregister.com/feed/www.theregister.com/2026/02/26/ai_models_get_better_at/>

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