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<!DOCTYPE html>
<html lang="en">
<head>
<meta charset="UTF-8"><meta name="viewport" content="width=device-width, initial-scale=1.0">
<title>Lynchmark Newsletter - Issue 1</title>
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</style>
</head>
<body>
<div class="email">
<div class="header">
<h1>Lynchmark Newsletter</h1>
</div>
<div class="content">
<p>gpt5.1codexmax just got added to API after having been added to Codex 2 weeks ago.</p>
<div class="score-card">
<div class="model">
<div class="model-icon">M</div>
<div>
<div class="model-name">GPT5.1CodexMax</div>
<div style="font-size: 12px; color: #666;">Just released to API</div>
</div>
</div>
<div class="grade c">8/11 C</div>
</div>
<div class="vs">versus</div>
<div class="score-card">
<div class="model">
<div class="model-icon">C</div>
<div>
<div class="model-name">GPT5.1Codex</div>
<div style="font-size: 12px; color: #666;">Previous version</div>
</div>
</div>
<div class="grade d">7/11 D</div>
</div>
<div class="insight">
<h3>The Takeaway</h3>
<p>Max scores <span class="highlight">one point better</span> than regular Codex. That's something. But it's still <span class="highlight">worse than Gemini 3 Pro</span>, Claude Opus 4.5, and DeepSeek v3.2. It's only on par with Claude Sonnet 4.5.</p>
</div>
<div class="callout">
<strong>The reality check:</strong> Even with this release, OpenAI is still far behind. This shows exactly why they declared "code red." The gap is real. They're not closing it fast enough.
</div>
<p><strong>What's coming:</strong> The rumors say OpenAI's upcoming model (codenamed "Garlic") arrives next week. The pressure is on. The anticipation is building. I'll benchmark it the moment it drops.</p>
<p class="signature">— Lynchmark</p>
</div>
<div class="footer">
<p>Lynchmark tests LLMs by requiring correct CDN imports and library-specific implementations in browser JavaScript.</p>
<p><a href="https://lynchmark.com">View full benchmark results</a> | <a href="https://lynchmark.com/unsubscribe.html">Unsubscribe</a></p>
</div>
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