Can LLMs Audit Smart Contracts? Benchmarking Claude Opus 4.7, GPT-5.5, and Gemin

<h1> We Tested 10 Untested LLMs on Agent Coding — The Results Are In </h1> <p>Yesterday I promised to benchmark 10 LLMs that have never been tested on real agent coding tasks. I

<p><em>This is a submission for the <a href="https://dev.to/challenges/kaggle-2026-09-23">Kaggle Benchmarking Challenge</a></em></p> <h2> What I Benchmarked </h2> <p>A JSON

<p>There's a class of prompt injection attack that bypasses almost every AI firewall on the market — and it's sitting in the blind spot of your agentic stack right now.</p>

<p>On March 31, 2026, <a href="https://www.anthropic.com/" rel="noopener noreferrer">Anthropic</a> published version 2.1.88 of their <a

<p>The price page hasn't moved. Five dollars per million input. Twenty-five per million output. Identical to Opus 4.6.</p> <p>Run the same Claude Code call on both, though, and

<p>Anthropic shipped Opus 4.7 on April 16, 2026. Same $5/$25 pricing as 4.6. Same 1M context. Same 128K output ceiling. Different model entirely when you put it in an agentic

<!-- SC_OFF --><div class="md"><p>I run Gemma 4 26B-A4B locally via Ollama as part of a custom self-hosted AI platform. The platform stores every model interaction in SQLite,

<!-- SC_OFF --><div class="md"><p>I spent the few days building a benchmark that maps where frontier LLMs fall on a 2D political compass (economic left/right + social