Qwen 2.5 Coder 32B vs DeepSeek R1 32B
Comparing VRAM requirements, performance, and capabilities for running these models locally with Ollama.
Parameters
32B
Context
128K
VRAM Range
23–70 GB
Recommended
Q4_K_M (23 GB)
ByAlibaba·LicenseApache 2.0
Parameters
32B
Context
128K
VRAM Range
20.7–34 GB
Recommended
Q4_K_M (20.7 GB)
ByDeepSeek·LicenseMIT
VRAM Requirements by Quantization
Side-by-side memory needs at each quality level.
| Quantization | Qwen 2.5 Coder 32B | DeepSeek R1 32B | Difference |
|---|---|---|---|
| Q4_K_M | 23 GB | 20.7 GB | +2.3 GB |
| Q8_0 | 39 GB | 34 GB | +5.0 GB |
| F16 | 70 GB | — | — |
Capabilities
Feature support comparison.
| Capability | Qwen 2.5 Coder 32B | DeepSeek R1 32B |
|---|---|---|
| text generation | Yes | Yes |
| code generation | Yes | Yes |
| reasoning | Yes | Yes |
| math | — | Yes |
| creative writing | — | Yes |
Benchmark Scores
Higher is better. Scores from published evaluations.
| Benchmark | Qwen 2.5 Coder 32B | DeepSeek R1 32B |
|---|---|---|
| mmlu | 78.0 | 83.2 |
Hardware Compatibility
Can each model run at recommended quantization on common VRAM tiers?
| VRAM | Qwen 2.5 Coder 32B | DeepSeek R1 32B |
|---|---|---|
| 8 GB | No | No |
| 12 GB | No | No |
| 16 GB | Offload | Offload |
| 24 GB | Offload | Tight |
| 32 GB | Runs | Runs |
| 48 GB | Runs | Runs |
| 64 GB | Runs | Runs |
| 96 GB | Runs | Runs |
Run Qwen 2.5 Coder 32B
ollama run qwen2.5-coder:32b-instruct-q4_K_MRun DeepSeek R1 32B
ollama run deepseek-r1:32b-q4_K_MCheck your exact hardware
Use the compatibility checker to see how each model performs on your specific GPU or Mac.