Model comparison
GLM-4.5 vs Mistral Medium 3.1
GLM-4.5 is the stronger model overall, scoring 42.0 to 31.9 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 2 categories and Mistral Medium 3.1 in 0 categories; 2 gaps are clear of the uncertainty.
- The widest gap is in reasoning, where GLM-4.5 leads 28.6 to 10.6.
- Mistral Medium 3.1 is cheaper at $0.40 / $2 per million input/output tokens, against $0.60 / $2.20 for GLM-4.5.
- GLM-4.5 has downloadable open weights; the other is API-only.
Side by side
| GLM-4.5 | Mistral Medium 3.1 | |
|---|---|---|
| Provider | Z.ai (Zhipu) | Mistral AI |
| Noometry Index | 42.0 | 31.9 |
| Released | 2025-07-27 | — |
| Weights | Open | Proprietary |
| Context window | 131K | 131K |
| Max output | 98K | 105K |
| Input $ / M tokens | $0.60 | $0.40 |
| Output $ / M tokens | $2.20 | $2 |
| Results tracked | 27 | 3 |
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Category by category
Coding Not comparable
GLM-4.5: 41.4 (#125), Mistral Medium 3.1: —
| Benchmark | GLM-4.5 | Mistral Medium 3.1 |
|---|---|---|
| SWE-bench Verified (bash only) | 54.2% | — |
| WeirdML | 40.6% | — |
| LMArena Coding | 1434 | — |
| ALE-Bench | 344.82 | — |
| AlgoTune | 1.52 | — |
Reasoning GLM-4.5 leads
GLM-4.5: 28.6 (#100), Mistral Medium 3.1: 10.6 (#341)
| Benchmark | GLM-4.5 | Mistral Medium 3.1 |
|---|---|---|
| Kagi LLM Benchmark | 57.9% | — |
| NYT Connections (extended) | — | 6.5% |
| Thematic Generalization | — | 20.3% |
| LMArena Hard Prompts | 1429 | — |
Math Not comparable
GLM-4.5: 39.0 (#116), Mistral Medium 3.1: —
| Benchmark | GLM-4.5 | Mistral Medium 3.1 |
|---|---|---|
| LMArena Math | 1427 | — |
Knowledge Not comparable
GLM-4.5: 35.9 (#179), Mistral Medium 3.1: —
| Benchmark | GLM-4.5 | Mistral Medium 3.1 |
|---|---|---|
| Humanity's Last Exam | 8.3% | — |
| Confabulations | 11.3% | — |
| LMArena Expert | 1433 | — |
Multilingual Not comparable
GLM-4.5: 52.8 (#77), Mistral Medium 3.1: —
| Benchmark | GLM-4.5 | Mistral Medium 3.1 |
|---|---|---|
| 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), Mistral Medium 3.1: —
| Benchmark | GLM-4.5 | Mistral Medium 3.1 |
|---|---|---|
| LMArena Instruction Following | 1404 | — |
Long Context Not comparable
GLM-4.5: 38.2 (#201), Mistral Medium 3.1: —
| Benchmark | GLM-4.5 | Mistral Medium 3.1 |
|---|---|---|
| Fiction.LiveBench | 58.3% | — |
| LMArena Longer Query | 1412 | — |
Writing & Preference GLM-4.5 leads
GLM-4.5: 57.5 (#127), Mistral Medium 3.1: 55.5 (#145)
| Benchmark | GLM-4.5 | Mistral Medium 3.1 |
|---|---|---|
| EQ-Bench Creative Writing | 1343 | 1476 |
| LMArena Text | 1430 | — |
| LMArena Creative Writing | 1395 | — |
| Short-Story Creative Writing | 73.4% | — |
| LMArena Multi-Turn | 1415 | — |
Frequently asked questions
Is GLM-4.5 better than Mistral Medium 3.1?
GLM-4.5 is the stronger model overall, scoring 42.0 to 31.9 on the Noometry Index.
Which is cheaper, GLM-4.5 or Mistral Medium 3.1?
Mistral Medium 3.1 is cheaper. It lists at $0.40 per million input tokens and $2 per million output tokens; GLM-4.5 lists at $0.60 and $2.20.
Which has the bigger context window?
Both accept 131K tokens.
How many benchmarks do GLM-4.5 and Mistral Medium 3.1 share?
1 benchmark has published results for both models. GLM-4.5 has 27 scored results on Noometry and Mistral Medium 3.1 has 3.