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Microsoft Is the Best (But Slow), IBM Beats Most of OpenAI: What I Found Testing 50+ LLMs

Large Language Models (LLMs) are everywhere now – GPT-4, Claude 3, Gemini, LLaMA, Mistral, and more. Everyone talks about which is "the best," but surprisingly, real side-by-side performance comparisons are rare. So, I built one myself. I tested over 50 LLMs – both cloud-based and local – on my own hardware, using real-world developer tasks. And the results? Shocking. Microsoft's Phi-4 was the most accurate model overall (yes, a local model!). IBM’s Granite models outperformed many of OpenAI’s most hyped offerings. Speed vs. accuracy is a serious tradeoff – and the best choice depends on your workflow. Here's a breakdown of how I tested, what I found, and how you can pick the right model.

Apr 2, 2025 - 07:14
 0
Microsoft Is the Best (But Slow), IBM Beats Most of OpenAI: What I Found Testing 50+ LLMs

Large Language Models (LLMs) are everywhere now – GPT-4, Claude 3, Gemini, LLaMA, Mistral, and more. Everyone talks about which is "the best," but surprisingly, real side-by-side performance comparisons are rare. So, I built one myself.

I tested over 50 LLMs – both cloud-based and local – on my own hardware, using real-world developer tasks. And the results? Shocking.

  • Microsoft's Phi-4 was the most accurate model overall (yes, a local model!).
  • IBM’s Granite models outperformed many of OpenAI’s most hyped offerings.
  • Speed vs. accuracy is a serious tradeoff – and the best choice depends on your workflow.

Here's a breakdown of how I tested, what I found, and how you can pick the right model.

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