Model comparison
GLM-4.5 vs Magistral Small
GLM-4.5 is the stronger model overall, scoring 42.0 to 30.2 on the Noometry Index.
Last verified . 1 shared benchmarks.
Mistral AISummary
- They share 1 benchmark with published results for both. GLM-4.5 scores higher in 4 categories and Magistral Small in 0 categories; 4 gaps are clear of the uncertainty.
- The widest gap is in reasoning, where GLM-4.5 leads 28.6 to 6.8.
- The biggest single-benchmark swing is Kagi LLM Benchmark: 57.9% for GLM-4.5 and 6.3% for Magistral Small.
- Magistral Small is cheaper at $0.50 / $1.50 per million input/output tokens, against $0.60 / $2.20 for GLM-4.5.
- GLM-4.5 accepts more context: 131K tokens versus 128K.
Side by side
| GLM-4.5 | Magistral Small | |
|---|---|---|
| Provider | Z.ai (Zhipu) | Mistral AI |
| Noometry Index | 42.0 | 30.2 |
| Released | 2025-07-27 | 2025-06-10 |
| Weights | Open | Open |
| Context window | 131K | 128K |
| Max output | 98K | 40K |
| Input $ / M tokens | $0.60 | $0.50 |
| Output $ / M tokens | $2.20 | $1.50 |
| Results tracked | 27 | 10 |
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Category by category
Coding GLM-4.5 leads
GLM-4.5: 41.4 (#125), Magistral Small: 38.4 (#176)
| Benchmark | GLM-4.5 | Magistral Small |
|---|---|---|
| SWE-bench Verified (bash only) | 54.2% | — |
| SciCode | — | 35.2% |
| WeirdML | 40.6% | — |
| LMArena Coding | 1434 | — |
| ALE-Bench | 344.82 | — |
| AlgoTune | 1.52 | — |
Reasoning GLM-4.5 leads
GLM-4.5: 28.6 (#100), Magistral Small: 6.8 (#350)
| Benchmark | GLM-4.5 | Magistral Small |
|---|---|---|
| Kagi LLM Benchmark | 57.9% | 6.3% |
| ARC-AGI-2 | — | 0% |
| ARC-AGI-1 | — | 5% |
| CritPt | — | 0.3% |
| Chess Puzzles | — | 3% |
| LMArena Hard Prompts | 1429 | — |
| DTBench | — | 61.3% |
| Epoch Capabilities Index | — | 133.19 |
Math GLM-4.5 leads
GLM-4.5: 39.0 (#116), Magistral Small: 26.2 (#261)
| Benchmark | GLM-4.5 | Magistral Small |
|---|---|---|
| OTIS Mock AIME 2024-2025 | — | 30% |
| LMArena Math | 1427 | — |
Knowledge GLM-4.5 leads
GLM-4.5: 35.9 (#179), Magistral Small: 30.9 (#223)
| Benchmark | GLM-4.5 | Magistral Small |
|---|---|---|
| GPQA Diamond | — | 56.1% |
| Humanity's Last Exam | 8.3% | — |
| Confabulations | 11.3% | — |
| LMArena Expert | 1433 | — |
Multilingual Not comparable
GLM-4.5: 52.8 (#77), Magistral Small: —
| Benchmark | GLM-4.5 | Magistral Small |
|---|---|---|
| LMArena Non-English | 1417 | — |
| LMArena Chinese | 1465 | — |
| LMArena French | 1418 | — |
| LMArena German | 1407 | — |
| LMArena Japanese | 1415 | — |
| LMArena Korean | 1380 | — |
| LMArena Russian | 1414 | — |
| LMArena Spanish | 1454 | — |
Instruction Following Not comparable
GLM-4.5: 74.1 (#104), Magistral Small: —
| Benchmark | GLM-4.5 | Magistral Small |
|---|---|---|
| LMArena Instruction Following | 1404 | — |
Long Context Not comparable
GLM-4.5: 38.2 (#201), Magistral Small: —
| Benchmark | GLM-4.5 | Magistral Small |
|---|---|---|
| Fiction.LiveBench | 58.3% | — |
| LMArena Longer Query | 1412 | — |
Writing & Preference Not comparable
GLM-4.5: 57.5 (#127), Magistral Small: —
| Benchmark | GLM-4.5 | Magistral Small |
|---|---|---|
| LMArena Text | 1430 | — |
| LMArena Creative Writing | 1395 | — |
| Short-Story Creative Writing | 73.4% | — |
| EQ-Bench Creative Writing | 1343 | — |
| LMArena Multi-Turn | 1415 | — |
Frequently asked questions
Is GLM-4.5 better than Magistral Small?
GLM-4.5 is the stronger model overall, scoring 42.0 to 30.2 on the Noometry Index.
Which is cheaper, GLM-4.5 or Magistral Small?
Magistral Small is cheaper. It lists at $0.50 per million input tokens and $1.50 per million output tokens; GLM-4.5 lists at $0.60 and $2.20.
Is GLM-4.5 or Magistral Small better for coding?
GLM-4.5 scores higher on coding benchmarks: 41.4 versus 38.4 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 Small share?
1 benchmark has published results for both models. GLM-4.5 has 27 scored results on Noometry and Magistral Small has 10.