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<title>LLM Benchmark Analysis 2024 - Lynchmark</title>
<meta name="description" content="Comprehensive analysis of 8 LLMs across 11 challenging coding tests, revealing clear performance tiers and surprising failures.">
<meta property="og:title" content="LLM Benchmark Analysis 2024">
<meta property="og:description" content="Deep analysis of 231 test results: Claude Opus leads, Gemini surprises, and critical failures exposed.">
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"datePublished": "2024-05-23",
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"description": "Comprehensive analysis of 8 LLMs across 11 challenging coding tests."
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<a href="/" class="text-gray-500 hover:text-blue-600 transition">Lynchmark</a>
<span class="text-gray-300">/</span>
<span class="font-medium text-gray-900">Benchmark Analysis</span>
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<div class="inline-flex items-center rounded-full border border-blue-200 bg-blue-50 text-blue-700 text-xs font-bold px-3 py-1 mb-4 uppercase tracking-wide">Data Analysis</div>
<h1 class="text-3xl md:text-4xl font-bold text-gray-900 mb-4">LLM Benchmark Analysis 2024</h1>
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231 automated tests reveal clear performance tiers, surprising failures, and critical insights for production use.
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<h2 class="text-xl font-bold text-gray-900 mb-4">Executive Summary</h2>
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<h3 class="font-bold text-gray-900 mb-3">Overall Performance Ranking</h3>
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<span class="mono text-sm">1. Claude Opus 4.5 (TEMP 0.7)</span>
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<span class="inline-flex items-center rounded-full bg-green-100 px-2 py-0.5 text-xs font-semibold text-green-800">10/11 Tests Passed</span>
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<span class="mono text-sm">2. Gemini 3 Pro (TEMP 0.35)</span>
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<span class="inline-flex items-center rounded-full bg-blue-100 px-2 py-0.5 text-xs font-semibold text-blue-800">10/11 Tests Passed</span>
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<span class="mono text-sm">3. Claude Sonnet 4.5 (TEMP 0.7)</span>
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<span class="inline-flex items-center rounded-full bg-yellow-100 px-2 py-0.5 text-xs font-semibold text-yellow-800">9/11 Tests Passed</span>
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<span class="mono text-sm">4. GPT-5.1 Codex</span>
<span class="inline-flex items-center rounded-full bg-yellow-100 px-2 py-0.5 text-xs font-semibold text-yellow-800">9/11 Tests Passed</span>
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<span class="mono text-sm">5. DeepSeek V3.2</span>
<span class="inline-flex items-center rounded-full bg-yellow-100 px-2 py-0.5 text-xs font-semibold text-yellow-800">8/11 Tests Passed</span>
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<h2 class="text-xl font-bold text-gray-900 mb-4">Critical Failure Analysis</h2>
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<strong class="text-gray-900">Scrypt Hash Test:</strong> 4 models failed due to incorrect library imports or parameter handling.</p>
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<h3 class="font-bold text-gray-900 mb-2">The CDN Import Challenge</h3>
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The scrypt test proved particularly challenging, with only 4 of 8 models passing. The failures reveal a critical gap in LLM knowledge: <em>correct library import paths for browser environments</em>.
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<h3 class="font-bold text-gray-900 mb-2">Library-Specific Knowledge</p>
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Models that used <code>cdn.skypack.dev</code> or incorrect version paths consistently failed.
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<h2 class="text-xl font-bold text-gray-900 mb-4">Performance Insights</h2>
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<span>Claude Opus</span>
<span>Gemini 3 Pro</span>
<span>Claude Sonnet</span>
<span>GPT-5.1 Codex</span>
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<h2 class="text-xl font-bold text-gray-900 mb-4">Key Findings</h2>
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<span class="mono text-sm">Temperature matters: Gemini at 0.35 outperformed default settings.</div>
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<span class="text-gray-700">Claude Opus demonstrated superior library knowledge and implementation accuracy.</div>
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<span class="mono text-sm">Grok-4 and Minimax M2 showed significant weaknesses in complex implementations.</div>
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For production-grade code generation: <span class="mono font-bold">Claude Opus 4.5 at TEMP 0.7</span> remains the most reliable choice across diverse coding challenges.</p>
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