SourceScore

Verified claim · AI-ML · 100% confidence

Gemini 2.5 Pro publicly released on: 2025-03-25 by Google DeepMind.

Last verified 2026-05-16 · Methodology veritas-v0.1 · 1529ff37ac65916a

Structured fields

Subject
Gemini 2.5 Pro
Predicate
publicly_released_on
Object
2025-03-25 by Google DeepMind
Confidence
100%
Tags
gemini-2.5-pro · gemini-2.5 · google · deepmind · reasoning · released_on · 2025

Sources (2)

  1. [1] official blog · Google · 2025-03-25

    Gemini 2.5: Our most intelligent AI model
    Today, we're introducing Gemini 2.5, our most intelligent AI model. Our first 2.5 model, Gemini 2.5 Pro Experimental, is a state-of-the-art thinking model, capable of reasoning through its thoughts before responding, resulting in enhanced performance and improved accuracy.
  2. [2] docs · Google DeepMind · 2025-03-25

    Gemini 2.5 Pro — Google DeepMind

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Ready-to-paste citation (Markdown / plain text):

Gemini 2.5 Pro publicly released on: 2025-03-25 by Google DeepMind. — SourceScore Claim 1529ff37ac65916a (verified 2026-05-16). https://sourcescore.org/api/v1/claims/1529ff37ac65916a.json

Embed this claim

Drop this iframe into any blog post, docs page, or knowledge base. The widget renders the signed claim + primary source + click-through to this canonical page. CC-BY 4.0; attribution included.

<iframe src="https://sourcescore.org/embed/claim/1529ff37ac65916a/" width="100%" height="360" frameborder="0" loading="lazy" title="Gemini 2.5 Pro publicly released on: 2025-03-25 by Google DeepMind."></iframe>

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Fetch this signed envelope from your application. The response includes the verbatim excerpt, primary source URLs, and an HMAC-SHA256 signature you can verify locally for audit trails.

cURL

curl https://sourcescore.org/api/v1/claims/1529ff37ac65916a.json

JavaScript / TypeScript

const r = await fetch("https://sourcescore.org/api/v1/claims/1529ff37ac65916a.json"); const envelope = await r.json(); console.log(envelope.claim.statement); // "Gemini 2.5 Pro publicly released on: 2025-03-25 by Google DeepMind."

Python

import httpx r = httpx.get("https://sourcescore.org/api/v1/claims/1529ff37ac65916a.json") envelope = r.json() print(envelope["claim"]["statement"]) # "Gemini 2.5 Pro publicly released on: 2025-03-25 by Google DeepMind."

LangChain (retrieve-then-cite)

from langchain_core.tools import tool import httpx @tool def get_gemini_2_5_pro_fact() -> dict: """Fetch the verified SourceScore claim for Gemini 2.5 Pro.""" r = httpx.get("https://sourcescore.org/api/v1/claims/1529ff37ac65916a.json") return r.json()