Codestral 22B vs Qwen 2.5 Coder 14B
Comparing VRAM requirements, performance, and capabilities for running these models locally with Ollama.
Parameters
22B
Context
32K
VRAM Range
14.7–24 GB
Recommended
Q4_K_M (14.7 GB)
ByMistral AI·LicenseMistral AI Non-Production License
Parameters
14B
Context
128K
VRAM Range
12–33 GB
Recommended
Q4_K_M (12 GB)
ByAlibaba·LicenseApache 2.0
VRAM Requirements by Quantization
Side-by-side memory needs at each quality level.
| Quantization | Codestral 22B | Qwen 2.5 Coder 14B | Difference |
|---|---|---|---|
| Q4_K_M | 14.7 GB | 12 GB | +2.7 GB |
| Q8_0 | 24 GB | 19 GB | +5.0 GB |
| F16 | — | 33 GB | — |
Capabilities
Feature support comparison.
| Capability | Codestral 22B | Qwen 2.5 Coder 14B |
|---|---|---|
| text generation | Yes | Yes |
| code generation | Yes | Yes |
Benchmark Scores
Higher is better. Scores from published evaluations.
| Benchmark | Codestral 22B | Qwen 2.5 Coder 14B |
|---|---|---|
| mmlu | 60.0 | 72.0 |
Hardware Compatibility
Can each model run at recommended quantization on common VRAM tiers?
| VRAM | Codestral 22B | Qwen 2.5 Coder 14B |
|---|---|---|
| 8 GB | No | Offload |
| 12 GB | Offload | Offload |
| 16 GB | Tight | Runs |
| 24 GB | Runs | Runs |
| 32 GB | Runs | Runs |
| 48 GB | Runs | Runs |
| 64 GB | Runs | Runs |
| 96 GB | Runs | Runs |
Run Codestral 22B
ollama run codestral:22b-v0.1-q4_K_MRun Qwen 2.5 Coder 14B
ollama run qwen2.5-coder:14b-instruct-q4_K_MCheck your exact hardware
Use the compatibility checker to see how each model performs on your specific GPU or Mac.