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DiffusionGemma-26B-A4B-it leads local AI models in browser automation benchmark

A Q4 benchmark comparing local AI models for browser automation revealed DiffusionGemma-26B-A4B-it as the fastest performer. This model achieved a median time of 0.35 seconds with 84% accuracy. Gemma 4 12B Coder and Cohere North-Mini-Code 1.0 also achieved 84% accuracy but were slightly slower. AI

IMPACT DiffusionGemma-26B-A4B-it demonstrates leading performance for local browser automation tasks.

RANK_REASON Benchmark results for local AI models. [lever_c_demoted from research: ic=1 ai=1.0]

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

DiffusionGemma-26B-A4B-it leads local AI models in browser automation benchmark

COVERAGE [1]

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

    🔥 We just published our Q4 local planner benchmark comparing local AI models for browser automation: • DiffusionGemma-26B-A4B-it: 0.35s median, 84% accuracy — f

    🔥 We just published our Q4 local planner benchmark comparing local AI models for browser automation: • DiffusionGemma-26B-A4B-it: 0.35s median, 84% accuracy — fastest! • Gemma 4 12B Coder: 0.40s median, 84% accuracy • Cohere North-Mini-Code 1.0: 0.38s median, 84% accuracy All thr…