Mistral or Qwen: which to choose for business

The catalog marks both as supporting Russian, both are in Ollama and both run on a CPU in their smaller sizes. Mistral is the European line with side branches: Pixtral for images, Leanstral for Lean proofs, Shieldstral for moderation; most versions are Apache 2.0, but Mistral Medium 3.5 uses a modified MIT under which high-revenue companies need paid access. Qwen covers a wider range, 0.6B to 2.4T-A95B, and was updated in August 2026, while the latest Mistral in the catalog is July 2026. The larger Qwen3.8 models also carry their own license, so in both families the commercial terms depend on the exact version.

Comparison based on catalog data

ParameterMistralQwen
CategoryText, Image + text, Code, Moderation and safetyText, Image + text
DeveloperMistral AI, FranceAlibaba, China
ReleasesSep 2023 – Jul 2026Aug 2023 – Aug 2026
Sizes3B – 675B0,6B – 2,4T-A95B
HardwareLaptop, 1 GPU, ClusterLaptop, 1 GPU, Cluster
Commercial useCommercial use with conditionsCommercial use with conditions
LicenseApache 2.0 (most versions, including Ministral 3, Pixtral 12B, Leanstral and Shieldstral); Mistral Medium 3.5: modified MIT, companies with large revenue need paid accessApache 2.0 (most versions); the larger Qwen3.8 models have their own license
RussianSupportedSupported
OllamaYesYes
Without GPUYesYes
Tasks
  • Fast chat responses
  • Data extraction from text
  • Translation and multilingual work
  • Chatbot and knowledge-base assistant
  • Replies to emails and customer requests
  • Document parsing and classification
  • Product description generation

Choose Mistral if

  • You need the side branches: Pixtral images, Leanstral proofs, Shieldstral moderation
  • The project is European and the vendor jurisdiction matters
  • Your work is data extraction from text and multilingual translation
Mistral

Choose Qwen if

  • You need something under 3B: Qwen starts at 0.6B
  • Your tasks are e-commerce: product copy, ticket triage, knowledge base answers
  • You need a cluster-scale flagship: Qwen tops out at 2.4T-A95B
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