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

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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 DeepMindGoogle DeepMind is rated by SourceScore — see its reliability →

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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

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Frequently asked questions

How has SourceScore reviewed the claim "Gemini 2.5 Pro publicly released on: 2025-03-25 by Google DeepMind."?

SourceScore records this assertion with 100% legacy editorial confidence as of 2026-05-16, under methodology veritas-v0.1. That metadata is not a truth guarantee. Inspect the 2 cited source record(s), excerpts, and live evidence below.

What is the evidence for "Gemini 2.5 Pro publicly released on: 2025-03-25 by Google DeepMind."?

The record lists 2 cited source(s): Google, Google DeepMind. Each is shown below with a short excerpt and URL. The JSON record at https://sourcescore.org/api/v1/claims/1529ff37ac65916a.json includes SourceScore-issued HMAC integrity metadata, not a public verification proof.

When was this claim record last reviewed by SourceScore?

Last reviewed 2026-05-16 under methodology version veritas-v0.1. The dated JSON record includes SourceScore-issued HMAC metadata, which is not publicly recomputable. Refetch the record and inspect current evidence before relying on it.

How can I cite this SourceScore claim in my code or article?

Fetch the JSON record from https://sourcescore.org/api/v1/claims/1529ff37ac65916a.json, including the verbatim claim, cited evidence, confidence, methodology version, and last-verified date. Refetch the canonical HTTPS record and inspect cited evidence; the HMAC tag is not publicly independently verifiable. The CC-BY-4.0 license permits commercial use with attribution to SourceScore.

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cURL

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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()
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