Celeris-1 vs Motif-3-Beta
Wins 0 of 5 areas
—
Wins 5 of 5 areas
Coding · Agents · Reasoning · Facts · Long documents
Motif-3-Beta is the stronger all-rounder.
Scores updated · 13 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.
- ReasoningHard problems that need careful thinking03Motif-3-Beta3 of 3 tests
- CodingWriting and fixing software02Motif-3-Beta2 of 2 tests
- AgentsCarrying out multi-step tasks on its own02Motif-3-Beta2 of 2 tests
- FactsGetting facts right instead of making them up02Motif-3-Beta2 of 2 tests
- Long documentsFinding answers in very long texts01Motif-3-Beta1 of 1 test
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.
The biggest differences
The tests each model wins by the widest margin, up to three each. Scores are out of 100.
Where Motif-3-Beta pulls ahead
- Command-line tasks in a real terminalTerminal-Bench 2.1+59.6points ahead
- Avoids making up answers it doesn't knowAA-Omniscience · Non-hallucination+43.7points ahead
- Reasons across sets of long documentsAA-LCR+36.7points ahead
Where Celeris-1 pulls ahead
No clear win on a test scored out of 100.
Every test, side by side
All 13 tests both models report. The winning score is in its model's colour; marks a score checked independently.
CodingMotif-3-Beta
- Terminal-Bench 2.1Motif-3-Beta by 59.611.270.8+59.6
- SciCodeMotif-3-Beta by 22.721.644.3+22.7
AgentsMotif-3-Beta
- GDPValMotif-3-Beta by 30.3030.3+30.3
- τ-Bench V3 · BankingMotif-3-Beta by 253.928.9+25
ReasoningMotif-3-Beta
- Humanity's Last ExamMotif-3-Beta by 33.66.840.4+33.6
- GPQA DiamondMotif-3-Beta by 23.863.186.9+23.8
- CritPtMotif-3-Beta by 606+6
FactsMotif-3-Beta
- AA-Omniscience · Non-hallucinationMotif-3-Beta by 43.77.250.9+43.7
- AA-Omniscience · AccuracyMotif-3-Beta by 101121+10
Other results3 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.
- AA-OmniscienceMotif-3-Beta by 53.8-71.6-17.8+53.8
- Artificial Analysis Coding IndexMotif-3-Beta by 47.614.462+47.6
- AA IntelligenceMotif-3-Beta by 266.332.3+26
Questions people ask
Which is better, Celeris-1 or Motif-3-Beta?
Motif-3-Beta wins all five areas where both have results: coding, agents, reasoning, facts and long documents. Celeris-1 wins none.
Which is better for coding?
Motif-3-Beta. It wins 2 of the 2 coding tests both models report; Celeris-1 wins none.
How do you compare the two?
We use the 13 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 3 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.