Day 7 · 2026-10-30
15 launches checked60 claims quoted word for word113 user reports linked10 verified fixes linked26 corrections publishedLive 7 days5 of 5 founding sponsor spots left
AI launches, checked against real usersLast re-stamped 30 Oct 2026

AI models / Compare

GPT-6.1 Terra vs LFM3: which delivered after 7 days?

Neither has a verdict yet: both are stamped Too early, with fewer than about five solid user reports each.

GPT-6.1 TerraLFM3
VerdictToo earlyToo early
Claims held32
Claims mixed00
Claims failed10
Claims unclear01
User reports26
Launched26 Oct 202627 Oct 2026
Last stamped30 Oct 202630 Oct 2026

No. 011 · OpenAI

GPT-6.1 Terra

Day 4 of 7
Too earlyDay 7 verdict

Cheap and the coding gain is real, but independent timing finds it about 15 to 25% faster than Sol, nowhere near 3x.

Launched
26 Oct 2026
Stamped
30 Oct 2026
Claims
✓3 held · ~0 mixed · ✗1 failed · ?0 unclear
Reports
2 (0 praise · 0 problem · 2 mixed)

What they claimed

“At max effort, Terra is over three times as token efficient as Claude Opus 5.5, and one-fourth its price per token, resulting in a ~9x lower cost per task.”
✓ Holds
“Terra is also much quicker, completing tasks over three times faster than both GPT-6 Astra and GPT-6.1 Sol.”
✗ Fails
“At maximum reasoning effort, GPT‑6.1 Terra solves 50.3% of tasks, more than double GPT‑5.6 Terra’s published score of 21.5%.”
✓ Holds
“Standard API pricing is $1 per million input tokens, $0.05 per million cached input tokens, and $5 per million output tokens.”
✓ Holds

Full receipt

No. 013 · Liquid AI

LFM3

Day 3 of 7
Too earlyDay 7 verdict

It is as small and long-context as promised, but every comparison with the previous model is still Liquid's own, and one hands-on test found it fails coding and multi-step tasks.

Launched
27 Oct 2026
Stamped
30 Oct 2026
Claims
✓2 held · ~0 mixed · ✗0 failed · ?1 unclear
Reports
6 (0 praise · 1 problem · 5 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.”
✓ Holds
“256K context window for the text model.”
✓ Holds

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.

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