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Qwen3.8-27B lags Ornith 1.5 in Mac speed tests

A recent comparison on a Mac Studio M4 Max evaluated the performance of Qwen3.8-27B and Ornith 1.5 models. Ornith 1.5 demonstrated significantly faster first-token generation, taking 0.49 seconds compared to Qwen3.8-27B's 3.46 seconds for an 800-token prompt. While Qwen3.8-27B achieved a respectable output speed of 55 tokens per second, Ornith 1.5 was faster at 90 tokens per second. In code review tests, both models performed similarly when reasoning was disabled, but Qwen3.8-27B struggled when reasoning was enabled, producing fewer correct bug identifications and often exceeding output limits. AI

IMPACT Highlights performance differences in local LLM inference, impacting user choice for Mac-based AI tasks.

RANK_REASON Comparison of two specific LLMs on local hardware using specific tools.

Read on dev.to — LLM tag →

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

Qwen3.8-27B lags Ornith 1.5 in Mac speed tests

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39 / 100
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Comparison of two specific LLMs on local hardware using specific tools.
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COVERAGE [1]

  1. dev.to — LLM tag TIER_1 English(EN) · Javier Rodeiro Rodríguez ·

    Qwen3.8 vs Ornith 1.5 on a Mac: speed and code review

    <p>On a Mac Studio M4 Max with 64 GB, Qwen3.8-27B with MTP does not replace the 35B mixture-of-experts model I already run. Measured on 12 October 2026 under oMLX 0.7.0, Qwen generated 55 tokens per second against 90, and took 3.46 seconds to produce its first token on an 800-tok…