Qwen 2.5 Coder 14B vs DeepSeek R1 14B
Comparing VRAM requirements, performance, and capabilities for running these models locally with Ollama.
Parameters
14B
Context
128K
VRAM Range
12–33 GB
Recommended
Q4_K_M (12 GB)
ByAlibaba·LicenseApache 2.0
Parameters
14B
Context
128K
VRAM Range
9.9–16 GB
Recommended
Q4_K_M (9.9 GB)
ByDeepSeek·LicenseMIT
VRAM Requirements by Quantization
Side-by-side memory needs at each quality level.
| Quantization | Qwen 2.5 Coder 14B | DeepSeek R1 14B | Difference |
|---|---|---|---|
| Q4_K_M | 12 GB | 9.9 GB | +2.1 GB |
| Q8_0 | 19 GB | 16 GB | +3.0 GB |
| F16 | 33 GB | — | — |
Capabilities
Feature support comparison.
| Capability | Qwen 2.5 Coder 14B | DeepSeek R1 14B |
|---|---|---|
| text generation | Yes | Yes |
| code generation | Yes | Yes |
| reasoning | — | Yes |
| math | — | Yes |
Benchmark Scores
Higher is better. Scores from published evaluations.
| Benchmark | Qwen 2.5 Coder 14B | DeepSeek R1 14B |
|---|---|---|
| mmlu | 72.0 | 79.7 |
Hardware Compatibility
Can each model run at recommended quantization on common VRAM tiers?
| VRAM | Qwen 2.5 Coder 14B | DeepSeek R1 14B |
|---|---|---|
| 8 GB | Offload | Offload |
| 12 GB | Offload | Runs |
| 16 GB | Runs | Runs |
| 24 GB | Runs | Runs |
| 32 GB | Runs | Runs |
| 48 GB | Runs | Runs |
| 64 GB | Runs | Runs |
| 96 GB | Runs | Runs |
Run Qwen 2.5 Coder 14B
ollama run qwen2.5-coder:14b-instruct-q4_K_MRun DeepSeek R1 14B
ollama run deepseek-r1:14b-q4_K_MCheck your exact hardware
Use the compatibility checker to see how each model performs on your specific GPU or Mac.