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
| Parameter | Gemma | Llama |
|---|---|---|
| Category | Text, Image + text, Code | Text, Image + text |
| Developer | Google, USA | Meta, USA |
| Releases | Feb 2024 – Jun 2026 | Feb 2023 – Apr 2025 |
| Sizes | 270M – 31B | 1B – 405B |
| Hardware | Laptop, 1 GPU | Laptop, 1 GPU, Cluster |
| Commercial use | Commercial use allowed | Commercial use with conditions |
| License | Gemma 4 and DiffusionGemma: Apache 2.0; earlier versions, CodeGemma and FunctionGemma: Gemma Terms of Use | Llama Community License |
| Russian | Not stated | Not supported |
| Ollama | Yes | Yes |
| Without GPU | Yes | Yes |
| Tasks |
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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
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
Other comparisons
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- Cohere Command or Llama: which to choose for a knowledge base
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- GigaChat or YandexGPT: which to choose for business
- DeepSeek or Qwen: which to choose for business
- gpt-oss or Qwen: which one to run on your own server
- Mistral or Qwen: which to choose for business
Need a model for your task?
An open model can run on your own server: data stays in-house, there is no per-request fee, and the model can be fine-tuned on your documents.
- SelectThe model and size for your task and hardware budget
- DeployOn your server or in a closed network, with an API
- Fine-tuneOn your data, or connect a knowledge base
- IntegrateInto your CRM, ERP, bot, website or team chat


