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Local LLM Benchmarks Show Qwen3.5:9B Strength Against Gemma4:26B

By PulseAugur Editorial · [2 sources] ·

David Rodriguez conducted benchmarks of local large language models on a mid-tier gaming PC, finding that Qwen3.5:9B remains a powerful model, competitive even with Gemma4:26B. The analysis also highlighted a smaller ternary model that performed surprisingly well given its size. AI

IMPACT Provides performance insights for local LLM deployments, aiding users in selecting models for consumer hardware.

RANK_REASON The cluster describes benchmarks of existing local LLMs, not a new model release or significant research breakthrough.

Read on Mastodon — mastodon.social →

AI-generated summary · Google Gemini · from 2 sources. How we write summaries →

COVERAGE [2]

  1. Mastodon — sigmoid.social TIER_1 English(EN) · [email protected] ·

    New Blog Post on Local AI Model Benchmarks I benchmarked local LLMs on a mid-tier gaming PC. Qwen3.5:9B is still a very strong model, even compared to Gemma4:26

    New Blog Post on Local AI Model Benchmarks I benchmarked local LLMs on a mid-tier gaming PC. Qwen3.5:9B is still a very strong model, even compared to Gemma4:26B; and a tiny (in size, not parameters) ternary model punched above its weight. #AI #LLM #LocalLLM 🤖💻 www.strakul.com/bl…

    LINKS strakul.com/…/data-science-local-model-be…
  2. Mastodon — mastodon.social TIER_1 English(EN) · [email protected] ·

    New Blog Post on Local AI Model Benchmarks I benchmarked local LLMs on a mid-tier gaming PC. Qwen3.5:9B is still a very strong model, even compared to Gemma4:26

    New Blog Post on Local AI Model Benchmarks I benchmarked local LLMs on a mid-tier gaming PC. Qwen3.5:9B is still a very strong model, even compared to Gemma4:26B; and a tiny (in size, not parameters) ternary model punched above its weight. #AI #LLM #LocalLLM 🤖💻 www.strakul.com/bl…

    LINKS strakul.com/…/data-science-local-model-be…

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