Verified claim · AI-ML · 100% confidence
Cohere Aya Vision publicly released on: 2025-03-04 by Cohere For AI — multilingual open-weight vision-language models (8B + 32B), 23 languages.
Last verified 2026-05-16 · Methodology veritas-v0.1 · e3a0e94cbeffe2c4
Structured fields
- Subject
- Cohere Aya Vision
- Predicate
publicly_released_on- Object
- 2025-03-04 by Cohere For AI — multilingual open-weight vision-language models (8B + 32B), 23 languages
- Confidence
- 100%
- Tags
- aya-vision · cohere · multilingual · vision-language · open-weight · released_on · 2025
Sources (2)
[1] official blog · Cohere For AI · 2025-03-04
Aya Vision: Expanding the multilingual frontier with vision“Aya Vision is the first multilingual vision-language model in our Aya series, supporting 23 languages across 8B and 32B parameter sizes.”
[2] model card · Cohere For AI / Hugging Face · 2025-03-04
aya-vision-32b on Hugging Face
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Cohere Aya Vision publicly released on: 2025-03-04 by Cohere For AI — multilingual open-weight vision-language models (8B + 32B), 23 languages. — SourceScore Claim e3a0e94cbeffe2c4 (verified 2026-05-16). https://sourcescore.org/api/v1/claims/e3a0e94cbeffe2c4.jsonEmbed this claim
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Frequently asked questions
Is the claim "Cohere Aya Vision publicly released on: 2025-03-04 by Cohere For AI — multilingual open-weight vision-language models (8B + 32B), 23 languages." verified?
Yes — SourceScore verified this claim with 100% confidence as of 2026-05-16. The verification uses 2 primary sources cross-referenced against the SourceScore methodology (version veritas-v0.1). Full source list + signed JSON envelope linked below.
What is the evidence for "Cohere Aya Vision publicly released on: 2025-03-04 by Cohere For AI — multilingual open-weight vision-language models (8B + 32B), 23 languages."?
Evidence comes from 2 primary sources: Cohere For AI, Cohere For AI / Hugging Face. Each source is listed below with verbatim excerpts and URLs. The signed JSON envelope at https://sourcescore.org/api/v1/claims/e3a0e94cbeffe2c4.json includes an HMAC-SHA256 signature for audit verification.
When was this claim last verified by SourceScore?
Last verified 2026-05-16 under methodology version veritas-v0.1. The signed JSON envelope is dated and cryptographically signed for audit trail. Re-verification cadence depends on the claim type and source freshness.
How can I cite this SourceScore claim in my code or article?
Fetch the signed JSON envelope from https://sourcescore.org/api/v1/claims/e3a0e94cbeffe2c4.json which includes the verbatim claim, primary sources, confidence, methodology version, last-verified date, and HMAC-SHA256 signature for audit. The CC-BY-4.0 license permits commercial use with attribution to SourceScore.
Use this claim in your code
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/e3a0e94cbeffe2c4.jsonJavaScript / TypeScript
const r = await fetch("https://sourcescore.org/api/v1/claims/e3a0e94cbeffe2c4.json");
const envelope = await r.json();
console.log(envelope.claim.statement);
// "Cohere Aya Vision publicly released on: 2025-03-04 by Cohere For AI — multilingual open-weight vision-language models (8B + 32B), 23 languages."Python
import httpx
r = httpx.get("https://sourcescore.org/api/v1/claims/e3a0e94cbeffe2c4.json")
envelope = r.json()
print(envelope["claim"]["statement"])
# "Cohere Aya Vision publicly released on: 2025-03-04 by Cohere For AI — multilingual open-weight vision-language models (8B + 32B), 23 languages."LangChain (retrieve-then-cite)
from langchain_core.tools import tool
import httpx
@tool
def get_cohere_aya_vision_fact() -> dict:
"""Fetch the verified SourceScore claim for Cohere Aya Vision."""
r = httpx.get("https://sourcescore.org/api/v1/claims/e3a0e94cbeffe2c4.json")
return r.json()