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Gemma 4, Qwen 3.8, and gpt-oss compared in local performance tests

By PulseAugur Editorial · [1 sources] ·

The author conducted a local performance comparison of three open-source large language models: Gemma 4, Qwen 3.8, and gpt-oss. The evaluation focused on their capabilities when run on personal hardware, aiming to provide practical insights for users considering local deployment. The article details the performance and usability of each model in this context. AI

IMPACT Provides practical insights for users evaluating local LLM deployment options.

RANK_REASON Comparison of multiple open-source models run locally. [lever_c_demoted from research: ic=1 ai=1.0]

Read on Towards AI →

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

Gemma 4, Qwen 3.8, and gpt-oss compared in local performance tests

How we ranked this

Signal score
2 / 100
Composite score across the factors below. Higher = stronger signal that this story matters right now.
Newsworthiness bucket
Tool
Comparison of multiple open-source models run locally. [lever_c_demoted from research: ic=1 ai=1.0]
Source corroboration
Single-source cluster
Only one publisher covered this so far. Single-source stories can still rank when the publisher is high-authority, but they lack cross-source corroboration.
Topics
model release, product
Editorial topic classification. Feeds into how the story surfaces on /topic/<slug> hub pages and into the per-entity coverage mix.
AI-industry relevance
High
Clearly on-topic for AI-industry coverage.
Story freshness
Same-day
Cluster formed today. Ranking reflects the current source set at time of score.

Full methodology in our editorial standards.

COVERAGE [1]

  1. Towards AI TIER_1 English(EN) · inprogrammer ·

    Gemma 4 vs Qwen 3.8 vs GPT OSS: I Ran All Three Locally So You Do Not Have To

    <div class="medium-feed-item"><p class="medium-feed-image"><a href="https://pub.towardsai.net/gemma-4-vs-qwen-3-8-vs-gpt-oss-i-ran-all-three-locally-so-you-do-not-have-to-b18b15bd0e75?source=rss----98111c9905da---4"><img src="https://cdn-images-1.medium.com/max/2600/1*4ZPKfdriOod…

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