Qwen2.5 Instruct 72B is the stronger all-rounder.
Scores updated · 24 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.
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 Qwen2.5 Instruct 72B pulls ahead
- Graduate-level biology, physics and chemistry questionsGPQA Diamond+14.2points ahead
Where GLM-4.5-Base pulls ahead
No clear win on a test scored out of 100.
Every test, side by side
All 24 tests both models report. The winning score is in its model's colour; marks a score checked independently.
ReasoningQwen2.5 Instruct 72B
- GPQA DiamondQwen2.5 Instruct 72B by 14.234.949.1+14.2
Other results23 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.
- OpenBookQAQwen2.5 Instruct 72B by 46.649.696.2+46.6
- MATHQwen2.5 Instruct 72B by 27.46188.4+27.4
- SimpleQAGLM-4.5-Base by 20.229.39.1+20.2
- Chinese SimpleQA (C-SimpleQA)GLM-4.5-Base by 20.168.548.4+20.1
- MMLUGLM-4.5-Base by 10.787.777+10.7
- CRUXEval-I (input prediction)GLM-4.5-Base by 9.468.559.1+9.4
- HumanEvalQwen2.5 Instruct 72B by 8.478.286.6+8.4
- CRUXEval-O (output prediction)GLM-4.5-Base by 7.967.859.9+7.9
- MMLU-ProQwen2.5 Instruct 72B by 7.463.771.1+7.4
- MBPPQwen2.5 Instruct 72B by 6.681.688.2+6.6
- BBHGLM-4.5-Base by 6.486.279.8+6.4
- DROPGLM-4.5-Base by 6.282.976.7+6.2
- GSM8KQwen2.5 Instruct 72B by 5.790.195.8+5.7
- HellaSwagGLM-4.5-Base by 5.490.284.8+5.4
- MGSMGLM-4.5-Base by 5.181.376.2+5.1
- MMMLUGLM-4.5-Base by 4.579.374.8+4.5
- C-EvalQwen2.5 Instruct 72B by 3.485.889.2+3.4
- CMMLUQwen2.5 Instruct 72B by 386.589.5+3
- WinoGrandeGLM-4.5-Base by 2.985.282.3+2.9
- PIQAGLM-4.5-Base by 2.184.782.6+2.1
- ARC-ChallengeGLM-4.5-Base by 1.896.394.5+1.8
- MBPP+ (EvalPlus-augmented)GLM-4.5-Base by 1.17877+1.1
- MMLU-Reduxtie86.686.8tie
Questions people ask
Which is better, GLM-4.5-Base or Qwen2.5 Instruct 72B?
Qwen2.5 Instruct 72B wins the one area where both have results: reasoning. GLM-4.5-Base wins none.
How do you compare the two?
We use the 24 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 23 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.