DeepSeek-Coder V2 (class) vs Qwen2.5-Coder 14B
Size, context window, license, approximate VRAM and the minimum local hardware each model needs — computed from our catalog and compatibility engine, not benchmarks.
| DeepSeek-Coder V2 (class) | Qwen2.5-Coder 14B | |
|---|---|---|
| Parameters | 16B | 14B |
| Context window | 128K tokens | 128K tokens |
| License | DeepSeek License | Apache-2.0 |
| ~VRAM @ 4-bit (Q4_K_M) | ~11 GB | ~10 GB |
| ~VRAM @ 8-bit (Q8_0) | ~18 GB | ~16 GB |
| Minimum device | Intel Arc A770 16GB | NVIDIA GeForce RTX 3060 12GB |
| Recommended device | Supermicro 8x H100 SuperServer | Supermicro 8x H100 SuperServer |
| Deployment | Local / on-prem | Local / on-prem |
| Capabilities | Code, Long context | Code, Tools, Long context |
Highlighted cells mark the lighter / longer / more permissive side per row, for local deployment. Informational rows have no winner.
Bottom line
Qwen2.5-Coder 14B (~14B) is lighter than DeepSeek-Coder V2 (class) (~16B), so it runs on more modest hardware, while DeepSeek-Coder V2 (class) trades a larger footprint for more capacity. At 4-bit, Qwen2.5-Coder 14B needs about 10GB versus ~11GB, a meaningful gap when choosing a GPU. Both target a 128K context window. Qwen2.5-Coder 14B's Apache-2.0 license is the more permissive of the two for commercial use. Minimum viable hardware differs: DeepSeek-Coder V2 (class) starts on a Intel Arc A770 16GB, Qwen2.5-Coder 14B on a NVIDIA GeForce RTX 3060 12GB. Figures are approximate working-set estimates, not benchmarks — verify the exact release before committing hardware.
Pick DeepSeek-Coder V2 (class) if you have the memory to spare and want the larger model, or your focus is coding.
Pick Qwen2.5-Coder 14B if you want the lighter footprint and cheaper hardware, or you want the more permissive Apache-2.0 license, or your focus is coding.
The compact coder variants fit 16GB+ at 4-bit; larger MoE variants need 48GB+ or cloud.
16GB+ GPUs at 4-bit. A strong balance of coding quality and footprint for a developer workstation.
Run the winner on hardware you control
Pick the model that fits your footprint, then turn the right machine into a private AI Business OS — no per-seat data leaving your premises.