The two are evenly matched.
Scores updated · 11 tests both models report · How we compare
Where each one wins
Tests won in each of the one area 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.
Reasoning rests on a single test.
Every test, side by side
All 11 tests both models report. The winning score is in its model's colour; marks a score checked independently.
Other results10 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.
- AlignBenchDeepSeek-V2.5 by 72.180.48.3+72.1
- MMLUHunyuan Large Instruct by 9.580.489.9+9.5
- Arena HardHunyuan Large Instruct by 5.676.281.8+5.6
- BBHHunyuan Large Instruct by 5.284.389.5+5.2
- IFEvalHunyuan Large Instruct by 4.480.685+4.4
- MATHHunyuan Large Instruct by 2.774.777.4+2.7
- HellaSwagDeepSeek-V2.5 by 1.890.388.5+1.8
- AlpacaEval-2.0Hunyuan Large Instruct by 1.350.551.8+1.3
- HumanEvalHunyuan Large Instruct by 18990+1
- MT-Benchtie99.4tie
Questions people ask
Which is better, DeepSeek-V2.5 or Hunyuan Large Instruct?
Neither wins more tests than the other in any of the one area where both have results.
How do you compare the two?
We use the 11 benchmark tests both models have published scores on. The verdict counts the 1 tests in the eight capability areas, and a gap under one point (ten on rating-style scales) counts as a tie. The other 10 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.