Verified claim · AI-ML · 95% confidence
Google Gemini 2.5 Flash publicly released on: 2025-04-09 by Google DeepMind — Gemini 2.5 Flash with controllable thinking budget + 1M context.
Last verified 2026-05-16 · Methodology veritas-v0.1 · 57b435dfa168fdb1
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Structured fields
- Subject
- Google Gemini 2.5 Flash
- Predicate
publicly_released_on- Object
- 2025-04-09 by Google DeepMind — Gemini 2.5 Flash with controllable thinking budget + 1M context
- Confidence
- 95%
- Tags
- gemini-2-5-flash · google-deepmind · hybrid-reasoning · thinking-budget · released_on · 2025
Sources (2)
[1] official blog · Google · 2025-04-09
Start building with Gemini 2.5 Flash“Gemini 2.5 Flash is our latest hybrid reasoning model, offering controllable thinking budget for cost-quality trade-offs while maintaining 1M token context window.”
[2] docs · Google AI · 2025-04-09
Gemini 2.5 Flash — API documentation
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Google Gemini 2.5 Flash publicly released on: 2025-04-09 by Google DeepMind — Gemini 2.5 Flash with controllable thinking budget + 1M context. — SourceScore Claim 57b435dfa168fdb1 (verified 2026-05-16). https://sourcescore.org/api/v1/claims/57b435dfa168fdb1.jsonEmbed this claim
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<iframe src="https://sourcescore.org/embed/claim/57b435dfa168fdb1/" width="100%" height="360" frameborder="0" loading="lazy" title="Google Gemini 2.5 Flash publicly released on: 2025-04-09 by Google DeepMind — Gemini 2.5 Flash with controllable thinking budget + 1M context."></iframe>Preview: open in new tab
Frequently asked questions
How has SourceScore reviewed the claim "Google Gemini 2.5 Flash publicly released on: 2025-04-09 by Google DeepMind — Gemini 2.5 Flash with controllable thinking budget + 1M context."?
SourceScore records this assertion with 95% 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 "Google Gemini 2.5 Flash publicly released on: 2025-04-09 by Google DeepMind — Gemini 2.5 Flash with controllable thinking budget + 1M context."?
The record lists 2 cited source(s): Google, Google AI. Each is shown below with a short excerpt and URL. The JSON record at https://sourcescore.org/api/v1/claims/57b435dfa168fdb1.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/57b435dfa168fdb1.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.
Use this claim in your code
Fetch this record from your application. The response includes verbatim excerpts, primary-source URLs, and SourceScore-issued HMAC integrity metadata. Refetch the canonical HTTPS record and inspect cited evidence; public users cannot independently verify the HMAC tag.
cURL
curl https://sourcescore.org/api/v1/claims/57b435dfa168fdb1.jsonJavaScript / TypeScript
const r = await fetch("https://sourcescore.org/api/v1/claims/57b435dfa168fdb1.json");
const envelope = await r.json();
console.log(envelope.claim.statement);
// "Google Gemini 2.5 Flash publicly released on: 2025-04-09 by Google DeepMind — Gemini 2.5 Flash with controllable thinking budget + 1M context."Python
import httpx
r = httpx.get("https://sourcescore.org/api/v1/claims/57b435dfa168fdb1.json")
envelope = r.json()
print(envelope["claim"]["statement"])
# "Google Gemini 2.5 Flash publicly released on: 2025-04-09 by Google DeepMind — Gemini 2.5 Flash with controllable thinking budget + 1M context."LangChain (retrieve-then-cite)
from langchain_core.tools import tool
import httpx
@tool
def get_google_gemini_2_5_flash_fact() -> dict:
"""Fetch the verified SourceScore claim for Google Gemini 2.5 Flash."""
r = httpx.get("https://sourcescore.org/api/v1/claims/57b435dfa168fdb1.json")
return r.json()