Can I run Gemma 4 on my laptop?

Yes—RTX 3070 Ti (8GB) or better. Quantized to 9.6GB, spills to RAM fine. M-series Macs work too, ~20 tok/s.

How much can Gemma 4 save on API costs?

$10/day easy for classification/extraction. Scales to $3K+/year per app. 80% workloads local-ready.

For routing, classify, extract—yes, 25 tok/s steady. Toggle think=false. Tools shine with 2048+ predict.

$10 daily API burn? Wiped out. Gemma 4 on a gaming laptop now handles classification, extraction, and tools—for zero bucks.

DevTools Feed Apr 03, 2026 3 min read 20 views

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Gemma 4 hits 25 tok/s on RTX 3070 for production tasks like classification and tool calls. 𝕏
"Think=false" delivers 2-7x speedups with zero quality drop—essential hack. 𝕏
Two-tier local/cloud hybrid zaps 80% of API costs; Gemma owns the simple stuff. 𝕏

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#API savings #Gemma 4 #local LLMs #ollama

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Originally reported by dev.to