Model comparison
GLM-4.5 vs Magistral Medium
GLM-4.5 is the stronger model overall, scoring 41.4 to 34.8 on the Noometry Index.
Last verified . 18 shared benchmarks.
Mistral AISummary
- They share 18 benchmarks with published results for both. GLM-4.5 scores higher in 7 categories and Magistral Medium in 1 category; 8 gaps are clear of the uncertainty.
- The widest gap is in reasoning, where GLM-4.5 leads 27.7 to 8.7.
- The biggest single-benchmark swing is Kagi LLM Benchmark: 57.9% for GLM-4.5 and 16.2% for Magistral Medium.
- GLM-4.5 is cheaper at $0.60 / $2.20 per million input/output tokens, against $2 / $5 for Magistral Medium.
- GLM-4.5 accepts more context: 131K tokens versus 128K.
Side by side
| GLM-4.5 | Magistral Medium | |
|---|---|---|
| Provider | Z.ai (Zhipu) | Mistral AI |
| Noometry Index | 41.4 | 34.8 |
| Released | 2025-07-27 | 2025-03-17 |
| Weights | Open | Open |
| Context window | 131K | 128K |
| Max output | 98K | 16K |
| Input $ / M tokens | $0.60 | $2 |
| Output $ / M tokens | $2.20 | $5 |
| Results tracked | 27 | 22 |
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Category by category
Coding GLM-4.5 leads
GLM-4.5: 41.1 (#121), Magistral Medium: 38.6 (#161)
| Benchmark | GLM-4.5 | Magistral Medium |
|---|---|---|
| LMArena Coding | 1434 | 1319 |
| SWE-bench Verified (bash only) | 54.2% | — |
| SciCode | — | 39.2% |
| WeirdML | 40.6% | — |
| ALE-Bench | 344.82 | — |
| AlgoTune | 1.52 | — |
Reasoning GLM-4.5 leads
GLM-4.5: 27.7 (#99), Magistral Medium: 8.7 (#342)
| Benchmark | GLM-4.5 | Magistral Medium |
|---|---|---|
| Kagi LLM Benchmark | 57.9% | 16.2% |
| LMArena Hard Prompts | 1430 | 1267 |
| ARC-AGI-2 | — | 0% |
| ARC-AGI-1 | — | 6.1% |
| CritPt | — | 0.3% |
Math GLM-4.5 leads
GLM-4.5: 36.3 (#119), Magistral Medium: 32.4 (#187)
| Benchmark | GLM-4.5 | Magistral Medium |
|---|---|---|
| LMArena Math | 1427 | 1249 |
Knowledge GLM-4.5 leads
GLM-4.5: 35.5 (#172), Magistral Medium: 32.9 (#199)
| Benchmark | GLM-4.5 | Magistral Medium |
|---|---|---|
| LMArena Expert | 1433 | 1222 |
| Humanity's Last Exam | 8.3% | — |
| Confabulations | 11.3% | — |
Multilingual GLM-4.5 leads
GLM-4.5: 53.0 (#74), Magistral Medium: 39.8 (#219)
| Benchmark | GLM-4.5 | Magistral Medium |
|---|---|---|
| LMArena Non-English | 1417 | 1232 |
| LMArena Chinese | 1465 | 1225 |
| LMArena French | 1423 | 1268 |
| LMArena German | 1406 | 1248 |
| LMArena Japanese | 1416 | 1176 |
| LMArena Korean | 1382 | 1125 |
| LMArena Russian | 1414 | 1224 |
| LMArena Spanish | 1454 | 1269 |
Instruction Following GLM-4.5 leads
GLM-4.5: 74.3 (#100), Magistral Medium: 66.2 (#207)
| Benchmark | GLM-4.5 | Magistral Medium |
|---|---|---|
| LMArena Instruction Following | 1405 | 1254 |
Long Context Magistral Medium leads
GLM-4.5: 38.2 (#196), Magistral Medium: 39.3 (#178)
| Benchmark | GLM-4.5 | Magistral Medium |
|---|---|---|
| LMArena Longer Query | 1413 | 1295 |
| Fiction.LiveBench | 58.3% | — |
Writing & Preference GLM-4.5 leads
GLM-4.5: 57.7 (#121), Magistral Medium: 46.5 (#214)
| Benchmark | GLM-4.5 | Magistral Medium |
|---|---|---|
| LMArena Text | 1430 | 1255 |
| LMArena Creative Writing | 1395 | 1245 |
| LMArena Multi-Turn | 1415 | 1275 |
| Short-Story Creative Writing | 73.4% | — |
| EQ-Bench Creative Writing | 1343 | — |
Frequently asked questions
Is GLM-4.5 better than Magistral Medium?
GLM-4.5 is the stronger model overall, scoring 41.4 to 34.8 on the Noometry Index.
Which is cheaper, GLM-4.5 or Magistral Medium?
GLM-4.5 is cheaper. It lists at $0.60 per million input tokens and $2.20 per million output tokens; Magistral Medium lists at $2 and $5.
Is GLM-4.5 or Magistral Medium better for coding?
GLM-4.5 scores higher on coding benchmarks: 41.1 versus 38.6 in the Noometry coding category.
Which has the bigger context window?
GLM-4.5 does, with 131K tokens against 128K.
How many benchmarks do GLM-4.5 and Magistral Medium share?
18 benchmarks have published results for both models. GLM-4.5 has 27 scored results on Noometry and Magistral Medium has 22.