Model comparison
GLM-4.5V vs Magistral Small
GLM-4.5V is the stronger model overall, scoring 39.8 to 30.2 on the Noometry Index.
Last verified . 1 shared benchmarks.
Mistral AISummary
- They share 1 benchmark with published results for both. GLM-4.5V 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-4.5V leads 27.4 to 6.8.
- The biggest single-benchmark swing is Kagi LLM Benchmark: 59.8% for GLM-4.5V and 6.3% for Magistral Small.
- Magistral Small is cheaper at $0.50 / $1.50 per million input/output tokens, against $0.60 / $1.80 for GLM-4.5V.
- Magistral Small accepts more context: 128K tokens versus 64K.
Side by side
| GLM-4.5V | Magistral Small | |
|---|---|---|
| Provider | Z.ai (Zhipu) | Mistral AI |
| Noometry Index | 39.8 | 30.2 |
| Released | 2025-08-11 | 2025-06-10 |
| Weights | Open | Open |
| Context window | 64K | 128K |
| Max output | 16K | 40K |
| Input $ / M tokens | $0.60 | $0.50 |
| Output $ / M tokens | $1.80 | $1.50 |
| Results tracked | 15 | 10 |
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Category by category
Coding GLM-4.5V leads
GLM-4.5V: 39.5 (#155), Magistral Small: 38.4 (#176)
| Benchmark | GLM-4.5V | Magistral Small |
|---|---|---|
| SciCode | — | 35.2% |
| LMArena Coding | 1347 | — |
Reasoning GLM-4.5V leads
GLM-4.5V: 27.4 (#119), Magistral Small: 6.8 (#350)
| Benchmark | GLM-4.5V | Magistral Small |
|---|---|---|
| Kagi LLM Benchmark | 59.8% | 6.3% |
| ARC-AGI-2 | — | 0% |
| ARC-AGI-1 | — | 5% |
| CritPt | — | 0.3% |
| Chess Puzzles | — | 3% |
| LMArena Hard Prompts | 1334 | — |
| DTBench | — | 61.3% |
| Epoch Capabilities Index | — | 133.19 |
Math GLM-4.5V leads
GLM-4.5V: 37.4 (#159), Magistral Small: 26.2 (#261)
| Benchmark | GLM-4.5V | Magistral Small |
|---|---|---|
| OTIS Mock AIME 2024-2025 | — | 30% |
| LMArena Math | 1354 | — |
Knowledge GLM-4.5V leads
GLM-4.5V: 37.5 (#156), Magistral Small: 30.9 (#223)
| Benchmark | GLM-4.5V | Magistral Small |
|---|---|---|
| GPQA Diamond | — | 56.1% |
| LMArena Expert | 1353 | — |
Multimodal Not comparable
GLM-4.5V: 34.3 (#92), Magistral Small: —
| Benchmark | GLM-4.5V | Magistral Small |
|---|---|---|
| LMArena Vision | 1154 | — |
Multilingual Not comparable
GLM-4.5V: 44.6 (#177), Magistral Small: —
| Benchmark | GLM-4.5V | Magistral Small |
|---|---|---|
| LMArena Non-English | 1303 | — |
| LMArena Chinese | 1337 | — |
| LMArena Russian | 1298 | — |
| LMArena Spanish | 1336 | — |
Instruction Following Not comparable
GLM-4.5V: 69.2 (#175), Magistral Small: —
| Benchmark | GLM-4.5V | Magistral Small |
|---|---|---|
| LMArena Instruction Following | 1311 | — |
Long Context Not comparable
GLM-4.5V: 39.6 (#171), Magistral Small: —
| Benchmark | GLM-4.5V | Magistral Small |
|---|---|---|
| LMArena Longer Query | 1304 | — |
Writing & Preference Not comparable
GLM-4.5V: 52.5 (#170), Magistral Small: —
| Benchmark | GLM-4.5V | Magistral Small |
|---|---|---|
| LMArena Text | 1333 | — |
| LMArena Creative Writing | 1295 | — |
| LMArena Multi-Turn | 1332 | — |
Frequently asked questions
Is GLM-4.5V better than Magistral Small?
GLM-4.5V is the stronger model overall, scoring 39.8 to 30.2 on the Noometry Index.
Which is cheaper, GLM-4.5V or Magistral Small?
Magistral Small is cheaper. It lists at $0.50 per million input tokens and $1.50 per million output tokens; GLM-4.5V lists at $0.60 and $1.80.
Is GLM-4.5V or Magistral Small better for coding?
GLM-4.5V scores higher on coding benchmarks: 39.5 versus 38.4 in the Noometry coding category.
Which has the bigger context window?
Magistral Small does, with 128K tokens against 64K.
How many benchmarks do GLM-4.5V and Magistral Small share?
1 benchmark has published results for both models. GLM-4.5V has 15 scored results on Noometry and Magistral Small has 10.