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VECTOR WIREAI INTELLIGENCE
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Apodex 1.1 vs Motif-3-Beta

Apodex · released

Wins 1 of 5 areas

Long documents

Motif Technologies · released

Wins 1 of 5 areas

Reasoning

The two are evenly matched.Apodex 1.1 is better at long documents; Motif-3-Beta at reasoning.

Scores updated · 14 tests both models report · How we compare

Where each one wins

Tests won in each of the five areas where both have results. Each piece is one test, so a longer bar means more evidence; grey means the two scored within a point of each other.

Long documents rests on a single test.

What it costs

Prices per million tokens, roughly 750,000 words. The bars show the cost of a million tokens read plus a million written.

Apodex 1.1$0.30 to read · $3.00 to write$3.30Price from Artificial Analysis
Motif-3-BetaNo current price is tracked.

The biggest differences

The three tests each model wins by the widest margin. Scores are out of 100.

Where Motif-3-Beta pulls ahead

Where Apodex 1.1 pulls ahead

  • Answers hard knowledge questions correctlyAA-Omniscience · Accuracy+10.7points aheadApodex 1.131.7Motif-3-Beta21
  • Reasons across sets of long documentsAA-LCR+4.6points aheadApodex 1.179.3Motif-3-Beta74.7
  • Real work tasks from 44 professionsGDPVal+4.5points aheadApodex 1.134.8Motif-3-Beta30.3

Every test, side by side

All 14 tests both models report. The winning score is in its model's colour; marks a score checked independently.

CodingEven

Full coding ranking

AgentsEven

Full agents ranking

ReasoningMotif-3-Beta

Full reasoning ranking

FactsEven

Full facts ranking

Long documentsApodex 1.1
  • AA-LCRApodex 1.1 by 4.679.374.7+4.6

Full long documents ranking

Other results4 tests, not counted

Tests outside the eight areas. They are not counted above: several are summary scores built from other tests, or the same test under another name.

Questions people ask

Which is better, Apodex 1.1 or Motif-3-Beta?

Apodex 1.1 and Motif-3-Beta each win one of the five areas where both have results. Apodex 1.1 wins long documents; Motif-3-Beta wins reasoning. They are level on coding, agents and facts.

Which is better for coding?

Neither. They win 1 coding test each of the 2 both models report.

How do you compare the two?

We use the 14 benchmark tests both models have published scores on. The verdict counts the 10 tests in the eight capability areas, and a gap under one point (ten on rating-style scales) counts as a tie. The other 4 are listed but not counted, because several are summary scores or repeat a test. Each score is the one shown on the model's own page.