AI models / Compare
Gemini 4 Argon vs LFM3: which delivered after 7 days?
Gemini 4 Argon is stamped Partly; LFM3 is still Too early to call, so this comparison isn't settled yet.
| Gemini 4 Argon | LFM3 | |
|---|---|---|
| Verdict | Partly | Too early |
| Claims held | 0 | 0 |
| Claims mixed | 2 | 0 |
| Claims failed | 1 | 0 |
| Claims unclear | 1 | 3 |
| User reports | 10 | 2 |
| Launched | 13 Oct 2026 | 27 Oct 2026 |
| Last stamped | 22 Oct 2026 | 29 Oct 2026 |
No. 005 · Google
Gemini 4 Argon
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
No. 013 · Liquid AI
LFM3
Day 3 of 7Two days in, only a few first-hand comments exist, and one reports a load failure and a wrong answer.
- Launched
- 27 Oct 2026
- Stamped
- 29 Oct 2026
- Claims
- ✓0 held · ~0 mixed · ✗0 failed · ?3 unclear
- Reports
- 2 (0 praise · 1 problem · 1 mixed)
What they claimed
“a new tri-hybrid architecture and training recipe allow LFM3-1.7B to outperform our previous LFM2.5-2.6B while using 35% fewer parameters.”? Unclear
“the text model fits in about 1 GB at 4-bit precision.”? Unclear
“256K context window for the text model.”? Unclear
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
Weekly email · Fridays 14:00 CEST
Get the Friday Receipt
Every Friday: the week’s new day 7 receipts, the ones we re-stamped, and any corrections. One email, no sponsors from companies we review.
Prefer not to give an email? Follow the RSS feed or @day7dev on X.