Qwen or Llama: which to choose for business
Both families are in Ollama, run on a CPU in their smaller sizes and scale to a cluster. The catalog marks Qwen as supporting Russian and Llama as not. Qwen is mostly Apache 2.0, Llama uses the Llama Community License; in both cases commercial use has conditions. The latest Llama in the catalog is Llama 4 (2025-04), Qwen is newer with Qwen3.8 (2026-08), while Llama has a very large ecosystem of fine-tunes and tools.
Comparison based on catalog data
| Parameter | Qwen | Llama |
|---|---|---|
| Category | Text, Image + text | Text, Image + text |
| Developer | Alibaba, China | Meta, USA |
| Releases | Aug 2023 – Aug 2026 | Feb 2023 – Apr 2025 |
| Sizes | 0,6B – 2,4T-A95B | 1B – 405B |
| Hardware | Laptop, 1 GPU, Cluster | Laptop, 1 GPU, Cluster |
| Commercial use | Commercial use with conditions | Commercial use with conditions |
| License | Apache 2.0 (most versions); the larger Qwen3.8 models have their own license | Llama Community License |
| Russian | Supported | Not supported |
| Ollama | Yes | Yes |
| Without GPU | Yes | Yes |
| Tasks |
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Choose Qwen if
- Your assistant has to work in Russian
- You want a current line-up: the newest Qwen versions shipped in 2026
- You need a size range from 0.6B up to the 2.4T-A95B flagship
Choose Llama if
- You rely on ready fine-tunes and tooling from the Llama ecosystem
- You need a base model to fine-tune for your industry
- You work in English and need the Vision versions for images
Other comparisons
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- Mistral or Qwen: which to choose for business
- YandexGPT or Qwen: which to choose for Russian
- GLM or Qwen: which to choose for agents and documents
- Cohere Command or Llama: which to choose for a knowledge base
- Nemotron or Llama: which to choose for agents
- GigaChat or YandexGPT: which to choose for business
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