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Figure 26: GPT-OSS 120B · diagram by Sebastian Raschka · click to zoom
Sparse MoEOpenAI 🇺🇸 · August 4, 2025

GPT-OSS (120B)

Larger gpt-oss variant keeps the same alternating-attention recipe as the 20B model.

Key detail

Shared architectural template scaled up for OpenAI's flagship open-weight release.

Total params

117B

Active / token

5.1B

Context

128K

Fact sheet

Scale
117B total, 5.1B active (4.4% active)
Context window
128,000 tokens
Decoder type
Sparse MoE
Attention
GQA with alternating sliding-window and global layers
Layer mix
18 sliding-window + 18 global
KV cache / token (bf16)
72 KiB · Low
License
Apache License 2.0
Released

Efficiency

Parameters active per token

4.4%

5.1B of 117B weights run for each token.

KV cache per token (bf16)

72 KiB

Smaller than 53% of models in the atlas. How it’s calculated

AA Intelligence Index v4.3.2

Source

11.6

General
18.8
Scientific
10.4
Coding
17
Agents
1.8

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