Compare / Mistral Large 4 vs GLM 5.3
Mistral Large 4 vs GLM 5.3
16 results from 2 sources that measured both models. Each row is in the source's own units; there is no overall winner.
| Benchmark | Metric | Mistral Large 4 | GLM 5.3 |
|---|---|---|---|
| ROASBenchmeasured by us | Audience scorescore out of 100 | 55.8 | 51.0 |
| ROASBenchmeasured by us | Business scorescore out of 100 | 34.2 | 12.9 |
| ROASBenchmeasured by us | Consistency scorescore out of 100 | 16.7 | 14.8 |
| ROASBenchmeasured by us | Contribution profitsimulated US dollars | $533,401 | $9,718 |
| ROASBenchmeasured by us | Cost of a runUS dollars | $0.0657 | $0.13 |
| ROASBenchmeasured by us | Months over budgetmonths of 12 | 0 | 0 |
| ROASBenchmeasured by us | Overall scorescore out of 100 | 37.0 | 24.8 |
| ROASBenchmeasured by us | Planning scorescore out of 100 | 55.0 | 51.7 |
| ROASBenchmeasured by us | Return on ad spendprofit per $1 spent | $0.45 | $0.01 |
| Artificial Analysisreported | Artificial Analysis Intelligence Indexindex score | 38.4 | 44.8 |
| Artificial Analysisreported | Humanity's Last Exam% of questions | 35.0% | 42.3% |
| Artificial Analysisreported | Long-context reasoning (AA-LCR)% of questions | 81.3% | 79.7% |
| Artificial Analysisreported | Output speedtokens per second | 106 | 73.9 |
| Artificial Analysisreported | SciCode% of problems | 54.2% | 59.0% |
| Artificial Analysisreported | Terminal-Bench 4.0% of tasks | 26.8% | 41.9% |
| Artificial Analysisreported | Time to first answer tokenseconds | 19.8 | 29.7 |
Bold green marks the better value on that metric. Where a source reports ranges that overlap, the difference may not be meaningful; see the benchmark page for ranges.