DeepSeek or Qwen: which to choose for business

Both lines are in Ollama and reach sizes that need a cluster. DeepSeek is MIT (except V2 and earlier), allows commercial use, offers context up to 1M tokens and is listed for tool-using agents, long contracts and coding help; CPU use is not marked and Russian support is not confirmed in its card. Qwen is marked as supporting Russian and has very small versions from 0.6B that run on a CPU, but the larger Qwen3.8 models carry their own license. The newest DeepSeek release is V4.1-Flash (2026-09), the newest Qwen is Qwen3.8 (2026-08).

Comparison based on catalog data

ParameterDeepSeekQwen
CategoryText, Image + textText, Image + text
DeveloperDeepSeek, ChinaAlibaba, China
ReleasesNov 2023 – Sep 2026Aug 2023 – Aug 2026
Sizes7B – 1.6T-A49B0,6B – 2,4T-A95B
HardwareLaptop, 1 GPU, ClusterLaptop, 1 GPU, Cluster
Commercial useCommercial use allowedCommercial use with conditions
LicenseMIT (V2 and earlier versions: DeepSeek's own license prohibiting harmful use)Apache 2.0 (most versions); the larger Qwen3.8 models have their own license
RussianNot statedSupported
OllamaYesYes
Without GPUNoYes
Tasks
  • Employee assistant on your own server
  • Analysis of long contracts and reports
  • Agents that work with tools and APIs
  • Help for developers
  • Chatbot and knowledge-base assistant
  • Replies to emails and customer requests
  • Document parsing and classification
  • Product description generation

Choose DeepSeek if

  • You process very long documents: context goes up to 1M tokens
  • You build agents that work with tools and APIs
  • You want MIT on current versions with commercial use allowed
DeepSeek

Choose Qwen if

  • Confirmed Russian support is critical for the task
  • The model must run on modest hardware or without a GPU
  • Your tasks are e-commerce and support: product copy, replies to requests
Qwen

Other comparisons

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.

  1. SelectThe model and size for your task and hardware budget
  2. DeployOn your server or in a closed network, with an API
  3. Fine-tuneOn your data, or connect a knowledge base
  4. IntegrateInto your CRM, ERP, bot, website or team chat
Discuss deployment