Verified claim · AI-ML · 100% confidence
GPT-3 parameter count: 175000000000.
Last verified 2026-05-16 · Methodology veritas-v0.1 · 1ca2cc2864dfb376
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Structured fields
- Subject
- GPT-3
- Predicate
parameter_count- Object
- 175000000000
- Confidence
- 100%
- Tags
- gpt-3 · openai · parameters · 175b · brown · 2020
Sources (2)
[1] preprint · OpenAI / arXiv (Brown et al.) · 2020-05-28
Language Models are Few-Shot Learners“We train GPT-3, an autoregressive language model with 175 billion parameters, 10x more than any previous non-sparse language model.”
[2] official blog · OpenAI · 2021-03-25
GPT-3 Powers the Next Generation of AppsOpenAI is rated by SourceScore — see its reliability →
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The record lists 2 cited source(s): OpenAI / arXiv (Brown et al.), OpenAI. Each is shown below with a short excerpt and URL. The JSON record at https://sourcescore.org/api/v1/claims/1ca2cc2864dfb376.json includes SourceScore-issued HMAC integrity metadata, not a public verification proof.
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cURL
curl https://sourcescore.org/api/v1/claims/1ca2cc2864dfb376.jsonJavaScript / TypeScript
const r = await fetch("https://sourcescore.org/api/v1/claims/1ca2cc2864dfb376.json");
const envelope = await r.json();
console.log(envelope.claim.statement);
// "GPT-3 parameter count: 175000000000."Python
import httpx
r = httpx.get("https://sourcescore.org/api/v1/claims/1ca2cc2864dfb376.json")
envelope = r.json()
print(envelope["claim"]["statement"])
# "GPT-3 parameter count: 175000000000."LangChain (retrieve-then-cite)
from langchain_core.tools import tool
import httpx
@tool
def get_gpt_3_fact() -> dict:
"""Fetch the verified SourceScore claim for GPT-3."""
r = httpx.get("https://sourcescore.org/api/v1/claims/1ca2cc2864dfb376.json")
return r.json()