From 743b66f039220ad89b3eca7400f3b76040aa79dd Mon Sep 17 00:00:00 2001 From: multipleof4 Date: Wed, 3 Dec 2025 10:08:45 -0800 Subject: [PATCH] Delete blog/benchmark-analysis-2024.html --- blog/benchmark-analysis-2024.html | 165 ------------------------------ 1 file changed, 165 deletions(-) delete mode 100644 blog/benchmark-analysis-2024.html diff --git a/blog/benchmark-analysis-2024.html b/blog/benchmark-analysis-2024.html deleted file mode 100644 index d2c773e..0000000 --- a/blog/benchmark-analysis-2024.html +++ /dev/null @@ -1,165 +0,0 @@ - - - - - LLM Benchmark Analysis 2024 - Lynchmark - - - - - - - - - - - - - - - - -
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Data Analysis
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LLM Benchmark Analysis 2024

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- 231 automated tests reveal clear performance tiers, surprising failures, and critical insights for production use. -

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Executive Summary

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Overall Performance Ranking

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- 1. Claude Opus 4.5 (TEMP 0.7) -
- 10/11 Tests Passed -
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- 2. Gemini 3 Pro (TEMP 0.35) -
- 10/11 Tests Passed -
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- 3. Claude Sonnet 4.5 (TEMP 0.7) -
- 9/11 Tests Passed -
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- 4. GPT-5.1 Codex - 9/11 Tests Passed -
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- 5. DeepSeek V3.2 - 8/11 Tests Passed -
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Critical Failure Analysis

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- Scrypt Hash Test: 4 models failed due to incorrect library imports or parameter handling.

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The CDN Import Challenge

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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: correct library import paths for browser environments. -

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Library-Specific Knowledge

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- Models that used cdn.skypack.dev or incorrect version paths consistently failed. -

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Performance Insights

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- Claude Opus - Gemini 3 Pro - Claude Sonnet - GPT-5.1 Codex -
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Key Findings

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- ✓ - Temperature matters: Gemini at 0.35 outperformed default settings.
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- ✓ - Claude Opus demonstrated superior library knowledge and implementation accuracy.
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- ✗ - Grok-4 and Minimax M2 showed significant weaknesses in complex implementations.
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- For production-grade code generation: Claude Opus 4.5 at TEMP 0.7 remains the most reliable choice across diverse coding challenges.

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