← Every modelAlibaba (Qwen) · 14B, dense

Qwen3 14B

The point where a local model starts to feel smart. Noticeably better than 8B at reasoning and code, and it still fits a 12 GB card.

ollama run qwen3:14b

Needs about 11 GB of graphics memory, or unified memory on a Mac. First time? Install Ollama, then paste that into a terminal.

Download9.3 GB
Memory to runAbout 11 GB
Read per token9.3 GB
LicenseApache 2.0
Context32K tokens, 128K with YaRN
ReleasedApril 2025
Good for
  • Coding help and code review
  • Reasoning through problems with thinking mode
  • Tool calling and simple agents
  • Best pick for 12 GB cards
Not the best pick for
  • Cards with 8 GB or less: it won't fit with room for context
110 GPUs and Macs

What runs Qwen3 14B

Estimated speed on each card at the smallest memory size that fits it, from memory bandwidth. As a dense model it reads all its weights for every token, so memory bandwidth sets the speed.

Runs great 62 cards

Cheapest build from our list that runs it well: Used desktop + RTX 3060 12 GB, from $600 used, at about 21 tok/s. See the builds.

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