Day 7 · 2026-10-30
15 launches checked60 claims quoted word for word87 user reports linked10 verified fixes linked6 corrections publishedLive 7 days5 of 5 founding sponsor spots left
AI launches, checked against real usersLast re-stamped 30 Oct 2026

AI models / Compare

EmbeddingGemma 2 vs Gemini 4 Argon: which delivered after 7 days?

EmbeddingGemma 2 got the stronger stamp (Delivered) against Gemini 4 Argon (Partly), based on the user reports linked on each receipt.

EmbeddingGemma 2Gemini 4 Argon
VerdictDeliveredPartly
Claims held40
Claims mixed12
Claims failed01
Claims unclear01
User reports1410
Launched6 Oct 202613 Oct 2026
Last stamped25 Oct 202622 Oct 2026

No. 009 · Google

EmbeddingGemma 2

DeliveredDay 7 verdict

The open weights, the shared text-image-audio space and the code gains check out in independent tests; text-only users get no boost, as Google said.

Launched
6 Oct 2026
Stamped
25 Oct 2026
Claims
✓4 held · ~1 mixed · ✗0 failed · ?0 unclear
Reports
14 (6 praise · 5 problem · 3 mixed)

What they claimed

“Today, we’re launching EmbeddingGemma 2, expanding beyond text to unify code, images, video, and audio in a shared embedding space.”
✓ Holds
“Built on the Gemma 4 architecture and released under a commercially permissive Apache 2.0 license, EmbeddingGemma 2 has 740 million parameters, making it optimal for on-device inference.”
✓ Holds
“Using Matryoshka Representation Learning (MRL), developers can dynamically truncate output vectors from 768 dimensions down to 512, 256, or 128 dimensions.”
✓ Holds
“EmbeddingGemma 2 matches the strong multilingual text performance of EmbeddingGemma while delivering a significant 9.92-point improvement on code performance (in MTEB Code, from 68.76 to 78.68), making it well-suited for local codebase indexing, semantic code search, and coding agent retrieval.”
✓ Holds
“We worked closely with the following partners to ensure EmbeddingGemma 2 works immediately where you build:”
~ Mixed

Full receipt

No. 005 · Google

Gemini 4 Argon

PartlyDay 7 verdict

It is live in the API and Gemini app, but the advertised 95% cache discount gave users zero cache hits, and many Pro and Business subscribers still can't use it in Antigravity.

Launched
13 Oct 2026
Stamped
22 Oct 2026
Claims
✓0 held · ~2 mixed · ✗1 failed · ?1 unclear
Reports
10 (1 praise · 8 problem · 1 mixed)

What they claimed

“Gemini 4 Argon is now globally available today for developers and enterprises via the API in AI Studio and Gemini platform, for Google AI Ultra subscribers in Google Antigravity, and Google AI Ultra and Pro subscribers in the Gemini app and AI Mode in Search.”
~ Mixed
“Today, we’re rolling out Gemini 4 Argon directly inside Google Antigravity for Google AI Pro and Ultra subscribers — available in the Antigravity desktop app and the Antigravity CLI.”
~ Mixed
“The model launches today at an introductory price of $2 per million input tokens and $10 per million output tokens (with cached input tokens at 95% off).”
✗ Fails
“Its depth and precision across multi-step tasks leads Argon to outperform other frontier models on benchmarks across domains, ranking #1 on the Vals Index”
? Unclear

Full receipt

Both stamps come from the public user reports linked on each receipt, under the same method. Verdicts are opinion and are never paid for.

Keep comparingall AI models