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

Claude Opus 5.5 vs LFM3: which delivered after 7 days?

Claude Opus 5.5 is stamped Partly; LFM3 is still Too early to call, so this comparison isn't settled yet.

Claude Opus 5.5LFM3
VerdictPartlyToo early
Claims held00
Claims mixed30
Claims failed00
Claims unclear23
User reports72
Launched22 Sept 202627 Oct 2026
Last stamped22 Oct 202629 Oct 2026

No. 002 · Anthropic

Claude Opus 5.5

PartlyDay 7 verdict

The lower list price is real, but users report limits draining faster, more thinking tokens and safeguard false alarms, and nobody has independently confirmed the 40% saving.

Launched
22 Sept 2026
Stamped
22 Oct 2026
Claims
✓0 held · ~3 mixed · ✗0 failed · ?2 unclear
Reports
7 (1 praise · 6 problem · 0 mixed)

What they claimed

“It performs at the level of Claude Fable 5.1 on most work and costs 40% less to run than Opus 5.”
~ Mixed
“Input and output tokens are $4 and $20 per million, 20% less than Opus 5.”
? Unclear
“In addition to the price drop, we’re increasing five-hour usage limits on Pro, Max, Team, and seat-based Enterprise plans.”
~ Mixed
“It is much less likely than recent models to take hard-to-reverse actions or act outside the boundaries it’s been given”
~ Mixed
“Opus 5.5 also generates output more than 30% faster than Opus 5.”
? Unclear

Full receipt

No. 013 · Liquid AI

LFM3

Day 3 of 7
Too earlyDay 7 verdict

Two 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

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