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OpenAI's GPT OSS 20B leads in speed and coding benchmarks on Mac

A comparison of three open-weight LLMs—OpenAI's GPT OSS 20B, Alibaba's Qwen3 14B, and Mistral AI's Mistral-Small 24B—was conducted on an Apple M2 machine with 24GB of RAM. GPT OSS 20B emerged as the fastest, outperforming Qwen3 14B by three to four times, and achieved perfect scores on GSM8K and HumanEval+ benchmarks. Qwen3 14B, however, led in raw knowledge with an 82% MMLU score, surpassing GPT OSS 20B's 72%. Mistral-Small 24B struggled with memory limitations on the 24GB hardware, timing out on larger benchmarks and proving to be an unreliable choice for this specific configuration. AI

IMPACT Provides practical insights into the performance of open-weight LLMs on consumer hardware, guiding developers on model selection for resource-constrained environments.

RANK_REASON Comparison of open-weight LLMs on specific hardware and benchmarks. [lever_c_demoted from research: ic=1 ai=1.0]

Read on dev.to — LLM tag →

AI-generated summary · Google Gemini · from 1 sources. How we write summaries →

OpenAI's GPT OSS 20B leads in speed and coding benchmarks on Mac

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28 / 100
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Comparison of open-weight LLMs on specific hardware and benchmarks. [lever_c_demoted from research: ic=1 ai=1.0]
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model release, product
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High
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COVERAGE [1]

  1. dev.to — LLM tag TIER_1 English(EN) · Pitambar Mahato ·

    I Ran 3 Open-Weight LLMs Head-to-Head on a 24GB Mac — One Was 3x Faster

    <p>I ran three Apache 2.0 open-weight LLMs — OpenAI's gpt-oss-20B, Alibaba's Qwen3-14B, and Mistral's Mistral-Small-24B — on the same Apple M2 24GB machine, through the same Ollama 0.12.x runtime, on the same four benchmark tasks. The fastest model is the one I didn't expect to w…