Model
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gpt-oss-120b (Low)

OPEN
OpenAI · gpt-oss family · released Aug 5, 2025

OpenAI's first open-weight model since GPT-2; 117B MoE (5.1B active), Apache 2.0.

ReasoningCodingVisionFunction callingTool useAgentic
1330.6
Elo · rank #151
Parameters
117B
Active params
5.1B (MoE)
Context
128K tokens
Architecture
Mixture-of-experts transformer, 128 experts/layer, top-4 active, 36 layers
License
Apache 2.0
Languages
API price (in/out)
No hosted API
Modalities
text
Benchmark results
Bar shows position within the tracked field; marker = field best
Aider PolyglotCoding24.0%#35
best: Claude Opus 4.5 · 89.4%
AIMEMath56.3%#114
best: GPT-5.2 · 100.0%
CodeforcesCoding1595#35
best: DeepSeek-V4-Pro (Think Max) · 3206
GDPval-AAAgents397#40
best: Claude Fable 5 · 1932
GPQA DiamondReasoning67.1%#133
best: GPT-5.6 · 94.6%
Humanity's Last ExamReasoning5.2%#115
best: Claude Sonnet 5 · 57.4%
IFBenchReasoning58.0%#31
best: MiniMax M3 · 83.0%
MMLUKnowledge85.9%#50
best: OpenAI o3 · 92.9%
MMMLUKnowledge74.1%#36
best: Gemini 3.1 Pro · 92.6%
SWE-bench VerifiedCoding47.9%#94
best: Claude Fable 5 · 95.0%
tau-benchAgents49.4%#22
best: Claude Opus 4.1 · 82.4%
Terminal-Bench 2.0Coding14.0%#59
best: GPT-5.6 · 88.8%
Run it locally
VRAM @ Q4
73 GB
VRAM @ FP16
234 GB
Fits on (Q4)
M3 Max 128GBM3 Ultra 512GBA100 80GBH100 80GBH200 141GBB200 192GB
Does not fit on a single RTX 4090 (24GB); OpenAI specifies a single 80GB GPU (H100/MI300X) for native MXFP4 inference.
Quantizations
MXFP4 (native) · GGUF Q4_K_M · GGUF Q8_0
API price weights · each benchmark row carries its own source badge (see methodology)