gpt-oss 120B vs Llama 4 Scout (109B/17B active)
Comparing VRAM requirements, performance, and capabilities for running these models locally with Ollama.
Parameters
117B
Context
128K
VRAM Range
70–70 GB
Recommended
MXFP4 (70 GB)
ByOpenAI·LicenseApache 2.0
Parameters
109B
Context
512K
VRAM Range
72–125 GB
Recommended
Q4_K_M (72 GB)
ByMeta·LicenseLlama 4 Community License
VRAM Requirements by Quantization
Side-by-side memory needs at each quality level.
| Quantization | gpt-oss 120B | Llama 4 Scout (109B/17B active) | Difference |
|---|---|---|---|
| Q4_K_M | — | 72 GB | — |
| Q8_0 | — | 125 GB | — |
Capabilities
Feature support comparison.
| Capability | gpt-oss 120B | Llama 4 Scout (109B/17B active) |
|---|---|---|
| text generation | Yes | Yes |
| code generation | Yes | Yes |
| reasoning | Yes | Yes |
| tool use | Yes | Yes |
| math | Yes | Yes |
| multilingual | — | Yes |
| vision | — | Yes |
| creative writing | — | Yes |
| summarization | — | Yes |
Benchmark Scores
Higher is better. Scores from published evaluations.
| Benchmark | gpt-oss 120B | Llama 4 Scout (109B/17B active) |
|---|---|---|
| mmlu | 90.0 | 80.0 |
Hardware Compatibility
Can each model run at recommended quantization on common VRAM tiers?
| VRAM | gpt-oss 120B | Llama 4 Scout (109B/17B active) |
|---|---|---|
| 8 GB | No | No |
| 12 GB | No | No |
| 16 GB | No | No |
| 24 GB | No | No |
| 32 GB | No | No |
| 48 GB | Offload | Offload |
| 64 GB | Offload | Offload |
| 96 GB | Runs | Runs |
Run gpt-oss 120B
ollama run gpt-oss:120bRun Llama 4 Scout (109B/17B active)
ollama run llama4:scout-q4_K_MCheck your exact hardware
Use the compatibility checker to see how each model performs on your specific GPU or Mac.