Mistral Nemo 12B vs Gemma 3 12B
Comparing VRAM requirements, performance, and capabilities for running these models locally with Ollama.
Parameters
12B
Context
128K
VRAM Range
9.5–28 GB
Recommended
Q4_K_M (9.5 GB)
ByMistral AI·LicenseApache 2.0
Parameters
12B
Context
128K
VRAM Range
10.5–28 GB
Recommended
Q4_K_M (10.5 GB)
ByGoogle·LicenseGemma Terms of Use
VRAM Requirements by Quantization
Side-by-side memory needs at each quality level.
| Quantization | Mistral Nemo 12B | Gemma 3 12B | Difference |
|---|---|---|---|
| Q4_K_M | 9.5 GB | 10.5 GB | -1.0 GB |
| Q8_0 | 16 GB | 16 GB | 0.0 GB |
| F16 | 28 GB | 28 GB | 0.0 GB |
Capabilities
Feature support comparison.
| Capability | Mistral Nemo 12B | Gemma 3 12B |
|---|---|---|
| text generation | Yes | Yes |
| code generation | Yes | Yes |
| reasoning | Yes | Yes |
| multilingual | Yes | Yes |
| tool use | Yes | — |
| summarization | Yes | Yes |
| vision | — | Yes |
| math | — | Yes |
Benchmark Scores
Higher is better. Scores from published evaluations.
| Benchmark | Mistral Nemo 12B | Gemma 3 12B |
|---|---|---|
| mmlu | 68.0 | 76.0 |
Hardware Compatibility
Can each model run at recommended quantization on common VRAM tiers?
| VRAM | Mistral Nemo 12B | Gemma 3 12B |
|---|---|---|
| 8 GB | Offload | Offload |
| 12 GB | Runs | Tight |
| 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 Mistral Nemo 12B
ollama run mistral-nemo:12b-instruct-q4_K_MRun Gemma 3 12B
ollama run gemma3:12b-it-q4_K_MCheck your exact hardware
Use the compatibility checker to see how each model performs on your specific GPU or Mac.