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gemma3-4b vs llama3.1-8b

Quick answer: gemma3-4b and llama3.1-8b have similar local inference requirements in Q4_K_M; compare quality scores, benchmark sources, and GPU-specific speed before choosing.
Insufficient community data for a verdict score. Showing model quality data only.
gemma3-4b
Quantizations: Q4_K_M
Quality score: 44 / 100
MMLU-Pro · IFEval · HumanEval · MBPP+ · LiveCodeBench
llama3.1-8b
Quantizations: Q4_K_M
Quality score: 48 / 100
MMLU · MMLU-Pro · IFEval · GSM8K · ARC-C · HumanEval · MBPP+
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Model comparison FAQ

Which is better, gemma3-4b or llama3.1-8b?

gemma3-4b and llama3.1-8b have similar local inference requirements in Q4_K_M; compare quality scores, benchmark sources, and GPU-specific speed before choosing.

Do gemma3-4b and llama3.1-8b use the same quantization on this page?

Yes. This comparison uses Q4_K_M for gemma3-4b and Q4_K_M for llama3.1-8b.

Which model has the higher quality score?

llama3.1-8b has the higher listed quality score (48 vs 44).

Where should I check speed for this model pair?

Use the GPU-specific comparison pages or GPU detail pages, because local LLM speed depends heavily on GPU, VRAM, backend, and context length.

Can I contribute a better verdict?

Yes. Add benchmark links, correction notes, or community verdict data in the LocalLLM Compare GitHub repository.

Last updated: 2026-06-16 · Improve this data