Model comparison
GLM-4.7 vs Mistral
GLM-4.7 is the stronger model overall, scoring 41.7 to 29.4 on the Noometry Index.
Last verified . 17 shared benchmarks.
Mistral AISummary
- They share 17 benchmarks with published results for both. GLM-4.7 scores higher in 8 categories and Mistral in 0 categories; 8 gaps are clear of the uncertainty.
- The widest gap is in knowledge, where GLM-4.7 leads 47.0 to 16.3.
- GLM-4.7 has downloadable open weights; the other is API-only.
Side by side
| GLM-4.7 | Mistral | |
|---|---|---|
| Provider | Z.ai (Zhipu) | Mistral AI |
| Noometry Index | 41.7 | 29.4 |
| Released | 2025-12-22 | — |
| Weights | Open | Proprietary |
| Context window | 205K | — |
| Max output | 131K | — |
| Input $ / M tokens | $0.60 | — |
| Output $ / M tokens | $2.20 | — |
| Results tracked | 36 | 22 |
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Category by category
Coding GLM-4.7 leads
GLM-4.7: 43.6 (#74), Mistral: 33.2 (#249)
| Benchmark | GLM-4.7 | Mistral |
|---|---|---|
| LMArena Coding | 1454 | 1162 |
| LMArena WebDev | 1435 | — |
| SciCode | 45.1% | — |
| ALE-Bench | 399.48 | — |
Agentic & Tool Use Not comparable
GLM-4.7: 26.4 (#96), Mistral: —
| Benchmark | GLM-4.7 | Mistral |
|---|---|---|
| Terminal-Bench | 33.4% | — |
| Vending-Bench 2 | 2,377 | — |
Reasoning GLM-4.7 leads
GLM-4.7: 23.7 (#161), Mistral: 21.3 (#199)
| Benchmark | GLM-4.7 | Mistral |
|---|---|---|
| LMArena Hard Prompts | 1443 | 1149 |
| SimpleBench | 47.7% | — |
| CritPt | 1.7% | — |
| Chess Puzzles | 6% | — |
| Epoch Capabilities Index | 143.53 | — |
Math GLM-4.7 leads
GLM-4.7: 37.7 (#92), Mistral: 20.5 (#275)
| Benchmark | GLM-4.7 | Mistral |
|---|---|---|
| LMArena Math | 1423 | 1180 |
| OTIS Mock AIME 2024-2025 | 83.3% | — |
| ProofBench | 6% | — |
| Omni-MATH | — | 7.2% |
| FrontierMath (Feb 2025 set) | 2.4% | — |
| FrontierMath Tier 4 (v1) | 0% | — |
Knowledge GLM-4.7 leads
GLM-4.7: 47.0 (#74), Mistral: 16.3 (#283)
| Benchmark | GLM-4.7 | Mistral |
|---|---|---|
| LMArena Expert | 1424 | 1125 |
| GPQA Diamond | 83.3% | — |
| SimpleQA Verified | 32.2% | — |
| MMLU-Pro | — | 27.7% |
| Vectara Hallucination Rate | 11.7% | — |
| GPQA (HELM) | — | 30.3% |
Multilingual GLM-4.7 leads
GLM-4.7: 53.0 (#75), Mistral: 33.0 (#249)
| Benchmark | GLM-4.7 | Mistral |
|---|---|---|
| LMArena Non-English | 1417 | 1129 |
| LMArena Chinese | 1495 | 1109 |
| LMArena French | 1432 | 1179 |
| LMArena German | 1426 | 1155 |
| LMArena Japanese | 1439 | 1012 |
| LMArena Korean | 1401 | 1032 |
| LMArena Russian | 1423 | 1168 |
| LMArena Spanish | 1433 | 1143 |
Instruction Following GLM-4.7 leads
GLM-4.7: 74.6 (#90), Mistral: 52.9 (#283)
| Benchmark | GLM-4.7 | Mistral |
|---|---|---|
| LMArena Instruction Following | 1411 | 1152 |
| IFEval | — | 56.8% |
Long Context GLM-4.7 leads
GLM-4.7: 42.8 (#111), Mistral: 35.0 (#240)
| Benchmark | GLM-4.7 | Mistral |
|---|---|---|
| LMArena Longer Query | 1432 | 1154 |
| CL-bench | 15.9% | — |
| CL-bench Life | 10.9% | — |
Writing & Preference GLM-4.7 leads
GLM-4.7: 61.1 (#89), Mistral: 37.2 (#255)
| Benchmark | GLM-4.7 | Mistral |
|---|---|---|
| LMArena Text | 1436 | 1165 |
| LMArena Creative Writing | 1401 | 1158 |
| LMArena Multi-Turn | 1446 | 1147 |
| EQ-Bench Creative Writing | 1413 | — |
| WildBench | — | 66% |
Frequently asked questions
Is GLM-4.7 better than Mistral?
GLM-4.7 is the stronger model overall, scoring 41.7 to 29.4 on the Noometry Index.
Is GLM-4.7 or Mistral better for coding?
GLM-4.7 scores higher on coding benchmarks: 43.6 versus 33.2 in the Noometry coding category.
How many benchmarks do GLM-4.7 and Mistral share?
17 benchmarks have published results for both models. GLM-4.7 has 36 scored results on Noometry and Mistral has 22.