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VECTOR WIREAI INTELLIGENCE
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A.X-K2 vs Celeris-1

SK Telecom · released

Wins 5 of 5 areas

Coding · Agents · Reasoning · Facts · Long documents

Celeris · released

Wins 0 of 5 areas

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A.X-K2 is the stronger all-rounder.

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.

A.X-K2No current price is tracked.
Celeris-1$0.20 to read · $0.70 to write$0.90Price from Artificial Analysis

The biggest differences

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

Where A.X-K2 pulls ahead

Where Celeris-1 pulls ahead

No clear win on a test scored out of 100.

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.

CodingA.X-K2

Full coding ranking

AgentsA.X-K2

Full agents ranking

ReasoningA.X-K2

Full reasoning ranking

FactsA.X-K2

Full facts ranking

Long documentsA.X-K2

Full long documents ranking

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.

Questions people ask

Which is better, A.X-K2 or Celeris-1?

A.X-K2 wins all five areas where both have results: coding, agents, reasoning, facts and long documents. Celeris-1 wins none.

Which is better for coding?

A.X-K2. It wins 2 of the 2 coding tests both models report; Celeris-1 wins none.

How do you compare the two?

We use the 14 benchmark tests both models have published scores on. The verdict counts the 11 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.