Production model
GPT-4
Architecture
| Positional encoding | — |
|---|---|
| Norm placement | — |
| Norm type | — |
| QK-Norm | — |
| Activation | — |
| Attention | — |
| MoE | — |
Architecture details for GPT-4 are not publicly documented. OpenAI’s GPT-4 Technical Report (March 2023) declines to discuss model architecture, training data, training compute, or parameter count. Subsequent statements from OpenAI have not changed this stance.
Per the closed-model policy, this knowledge base does not infer or report architectural claims for undocumented models. The fields below are confirmed public facts only:
- Release date: March 14, 2023.
- Context length: 8K base, 32K extended variant. Both confirmed by OpenAI’s official documentation.
- Open weights: No.
- Modality: Text + image input as of the public release.
Every other architectural slot — positional encoding, normalization placement, activation,
attention variant, MoE structure — is recorded as null in this knowledge base’s schema, and
the Compare matrix renders these as a dash.
Rumors, leaked details, and third-party reverse-engineering speculation are explicitly out of scope for this knowledge base. See the methodology page for the policy rationale.
Sources
Export
BibTeX
@article{arxiv_2303_08774,
title = {GPT-4},
author = {OpenAI},
year = {2023},
eprint = {2303.08774},
archivePrefix = {arXiv},
url = {https://arxiv.org/abs/2303.08774}
} CSL JSON
{
"id": "arxiv_2303_08774",
"type": "article-journal",
"title": "GPT-4",
"author": [
{
"literal": "OpenAI"
}
],
"issued": {
"date-parts": [
[
2023
]
]
},
"URL": "https://arxiv.org/abs/2303.08774",
"number": "2303.08774",
"source": "arXiv"
} RIS
TY - JOUR
TI - GPT-4
AU - OpenAI
PY - 2023
JO - arXiv
AN - arXiv:2303.08774
UR - https://arxiv.org/abs/2303.08774
ER -