Model comparison
GLM-4.5 vs Mistral
GLM-4.5 is the stronger model overall, scoring 42.0 to 29.9 on the Noometry Index.
Last verified . 17 shared benchmarks.
Mistral AISummary
- They share 17 benchmarks with published results for both. GLM-4.5 scores higher in 8 categories and Mistral in 0 categories; 8 gaps are clear of the uncertainty.
- The widest gap is in instruction following, where GLM-4.5 leads 74.1 to 52.6.
- GLM-4.5 has downloadable open weights; the other is API-only.
Side by side
| GLM-4.5 | Mistral | |
|---|---|---|
| Provider | Z.ai (Zhipu) | Mistral AI |
| Noometry Index | 42.0 | 29.9 |
| Released | 2025-07-27 | — |
| Weights | Open | Proprietary |
| Context window | 131K | — |
| Max output | 98K | — |
| Input $ / M tokens | $0.60 | — |
| Output $ / M tokens | $2.20 | — |
| Results tracked | 27 | 22 |
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Category by category
Coding GLM-4.5 leads
GLM-4.5: 41.4 (#125), Mistral: 33.8 (#250)
| Benchmark | GLM-4.5 | Mistral |
|---|---|---|
| LMArena Coding | 1434 | 1162 |
| SWE-bench Verified (bash only) | 54.2% | — |
| WeirdML | 40.6% | — |
| ALE-Bench | 344.82 | — |
| AlgoTune | 1.52 | — |
Reasoning GLM-4.5 leads
GLM-4.5: 28.6 (#100), Mistral: 22.2 (#200)
| Benchmark | GLM-4.5 | Mistral |
|---|---|---|
| LMArena Hard Prompts | 1429 | 1149 |
| Kagi LLM Benchmark | 57.9% | — |
Math GLM-4.5 leads
GLM-4.5: 39.0 (#116), Mistral: 22.3 (#278)
| Benchmark | GLM-4.5 | Mistral |
|---|---|---|
| LMArena Math | 1427 | 1180 |
| Omni-MATH | — | 7.2% |
Knowledge GLM-4.5 leads
GLM-4.5: 35.9 (#179), Mistral: 16.6 (#288)
| Benchmark | GLM-4.5 | Mistral |
|---|---|---|
| LMArena Expert | 1433 | 1125 |
| Humanity's Last Exam | 8.3% | — |
| MMLU-Pro | — | 27.7% |
| Confabulations | 11.3% | — |
| GPQA (HELM) | — | 30.3% |
Multilingual GLM-4.5 leads
GLM-4.5: 52.8 (#77), Mistral: 32.8 (#254)
| Benchmark | GLM-4.5 | Mistral |
|---|---|---|
| LMArena Non-English | 1417 | 1129 |
| LMArena Chinese | 1465 | 1109 |
| LMArena French | 1418 | 1180 |
| LMArena German | 1407 | 1155 |
| LMArena Japanese | 1415 | 1013 |
| LMArena Korean | 1380 | 1032 |
| LMArena Russian | 1414 | 1168 |
| LMArena Spanish | 1454 | 1143 |
Instruction Following GLM-4.5 leads
GLM-4.5: 74.1 (#104), Mistral: 52.6 (#288)
| Benchmark | GLM-4.5 | Mistral |
|---|---|---|
| LMArena Instruction Following | 1404 | 1152 |
| IFEval | — | 56.8% |
Long Context GLM-4.5 leads
GLM-4.5: 38.2 (#201), Mistral: 35.0 (#245)
| Benchmark | GLM-4.5 | Mistral |
|---|---|---|
| LMArena Longer Query | 1412 | 1153 |
| Fiction.LiveBench | 58.3% | — |
Writing & Preference GLM-4.5 leads
GLM-4.5: 57.5 (#127), Mistral: 37.0 (#260)
| Benchmark | GLM-4.5 | Mistral |
|---|---|---|
| LMArena Text | 1430 | 1165 |
| LMArena Creative Writing | 1395 | 1158 |
| LMArena Multi-Turn | 1415 | 1147 |
| Short-Story Creative Writing | 73.4% | — |
| EQ-Bench Creative Writing | 1343 | — |
| WildBench | — | 66% |
Frequently asked questions
Is GLM-4.5 better than Mistral?
GLM-4.5 is the stronger model overall, scoring 42.0 to 29.9 on the Noometry Index.
Is GLM-4.5 or Mistral better for coding?
GLM-4.5 scores higher on coding benchmarks: 41.4 versus 33.8 in the Noometry coding category.
How many benchmarks do GLM-4.5 and Mistral share?
17 benchmarks have published results for both models. GLM-4.5 has 27 scored results on Noometry and Mistral has 22.