Gemma or Llama: which to choose for business

Both families are in Ollama and run on a CPU. Google's Gemma is more compact (270M to 31B) and targets a single computer or a single GPU; Gemma 4 is Apache 2.0 with commercial use allowed. Llama covers a wider range (1B to 405B, the flagship needs a cluster), uses the Llama Community License with conditions and is known for a very large ecosystem of fine-tunes. Gemma's latest release is 2026-06, Llama's is 2025-04; the catalog does not confirm Russian for either.

Comparison based on catalog data

ParameterGemmaLlama
CategoryText, Image + text, CodeText, Image + text
DeveloperGoogle, USAMeta, USA
ReleasesFeb 2024 – Jun 2026Feb 2023 – Apr 2025
Sizes270M – 31B1B – 405B
HardwareLaptop, 1 GPULaptop, 1 GPU, Cluster
Commercial useCommercial use allowedCommercial use with conditions
LicenseGemma 4 and DiffusionGemma: Apache 2.0; earlier versions, CodeGemma and FunctionGemma: Gemma Terms of UseLlama Community License
RussianNot statedNot supported
OllamaYesYes
Without GPUYesYes
Tasks
  • Offline assistant on a laptop
  • Reading photos of documents and receipts
  • Customer request classification
  • Assistant for employees
  • Summaries of meetings and documents
  • Base for industry-specific fine-tuning
  • Image understanding (Vision versions)

Choose Gemma if

  • The model has to run on a laptop, modest hardware or a mobile device
  • You want Apache 2.0 (Gemma 4) for unconditional commercial use
  • You need niche variants: FunctionGemma 270M for function calling, CodeGemma for code
Gemma

Choose Llama if

  • You need a flagship up to 405B on multi-GPU servers
  • You use ready fine-tunes and tooling from the Llama ecosystem
  • You need a base model to fine-tune for your industry
Llama

Other comparisons

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