👁 OpenAI
OpenAI
GPT-OSS 120B
Frontier
Jun 2025Released131K tokensContextMITLicense94 ExceptionalQuality
GPT-OSS 120B (117B parameters) requires approximately 77.8 GB of VRAM with Q4_K_M quantization. For the best balance of quality and speed, we recommend hardware with at least 90 GB of VRAM.
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— copy & paste to run locallyCopy-paste commands to run GPT-OSS 120B on your machine.
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ollama run gpt-oss:120bQuick specs
Parameters117B
Architecturedense
Context131K tokens
Modalitytext
Min RAM45.6 GB
Rec. RAM71.4 GB (Q4_K_M)
LicenseMIT
FamilyGPT-OSS
✓ Code✓ Chat✓ Reasoning
About this model
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Quantization options
VRAM estimates by quant level
No hardware detected — fit column shows raw VRAM estimates
| Quant | Bits | VRAM | Quality | Fit |
|---|---|---|---|---|
Q2_K | 2 | 45.6 GB | Low | — |
Q3_K_S | 3 | 57.3 GB | Low | — |
NVFP4 | 4 | 65.5 GB | Medium | — |
Q4_K_M | 4 | 71.4 GB | Medium | — |
Q5_K_M | 5 | 84.2 GB | High | — |
Q6_K | 6 | 95.9 GB | High | — |
Q8_0 | 8 | 125.2 GB | Very High | — |
F16 | 16 | 239.8 GB | Maximum | — |
Quality benchmarks
GPT-OSS 120B benchmark scores
Coding
SWE-bench Verified62.4%
HumanEval+—
Aider Polyglot—
LiveCodeBench81.9%
Reasoning
MMLU-Pro90.0%
GPQA Diamond80.1%
MATH-500—
ARC Challenge—
Source: official · 2025-08-15
Hardware compatibility
Fit estimates across all hardware
Computing compatibility...
Memory breakdown
Reference: RTX 2060 6GB
Weights71.4 GB
KV Cache4.9 GB
Runtime0.9 GB
Headroom0.6 GB
Frequently asked questions
FAQ — GPT-OSS 120B
See also