Model comparison
GLM-4.5 vs Hunyuan Large Vision
GLM-4.5 is the stronger model overall, scoring 42.0 to 37.6 on the Noometry Index.
Last verified . 12 shared benchmarks.
TencentSummary
- They share 12 benchmarks with published results for both. GLM-4.5 scores higher in 7 categories and Hunyuan Large Vision in 1 category; 7 gaps are clear of the uncertainty.
- The widest gap is in multilingual, where GLM-4.5 leads 52.8 to 39.9.
- GLM-4.5 has downloadable open weights; the other is API-only.
Side by side
| GLM-4.5 | Hunyuan Large Vision | |
|---|---|---|
| Provider | Z.ai (Zhipu) | Tencent |
| Noometry Index | 42.0 | 37.6 |
| Released | 2025-07-27 | — |
| Weights | Open | Proprietary |
| Context window | 131K | — |
| Max output | 98K | — |
| Input $ / M tokens | $0.60 | — |
| Output $ / M tokens | $2.20 | — |
| Results tracked | 27 | 13 |
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Category by category
Coding GLM-4.5 leads
GLM-4.5: 41.4 (#125), Hunyuan Large Vision: 38.3 (#180)
| Benchmark | GLM-4.5 | Hunyuan Large Vision |
|---|---|---|
| LMArena Coding | 1434 | 1308 |
| SWE-bench Verified (bash only) | 54.2% | — |
| WeirdML | 40.6% | — |
| ALE-Bench | 344.82 | — |
| AlgoTune | 1.52 | — |
Reasoning GLM-4.5 leads
GLM-4.5: 28.6 (#100), Hunyuan Large Vision: 24.8 (#158)
| Benchmark | GLM-4.5 | Hunyuan Large Vision |
|---|---|---|
| LMArena Hard Prompts | 1429 | 1257 |
| Kagi LLM Benchmark | 57.9% | — |
Math GLM-4.5 leads
GLM-4.5: 39.0 (#116), Hunyuan Large Vision: 35.5 (#183)
| Benchmark | GLM-4.5 | Hunyuan Large Vision |
|---|---|---|
| LMArena Math | 1427 | 1268 |
Knowledge GLM-4.5 leads
GLM-4.5: 35.9 (#179), Hunyuan Large Vision: 34.4 (#196)
| Benchmark | GLM-4.5 | Hunyuan Large Vision |
|---|---|---|
| LMArena Expert | 1433 | 1252 |
| Humanity's Last Exam | 8.3% | — |
| Confabulations | 11.3% | — |
Multimodal Not comparable
GLM-4.5: —, Hunyuan Large Vision: 35.7 (#83)
| Benchmark | GLM-4.5 | Hunyuan Large Vision |
|---|---|---|
| LMArena Vision | — | 1180 |
Multilingual GLM-4.5 leads
GLM-4.5: 52.8 (#77), Hunyuan Large Vision: 39.9 (#221)
| Benchmark | GLM-4.5 | Hunyuan Large Vision |
|---|---|---|
| LMArena Non-English | 1417 | 1236 |
| LMArena Chinese | 1465 | 1287 |
| LMArena Russian | 1414 | 1243 |
| LMArena French | 1418 | — |
| LMArena German | 1407 | — |
| LMArena Japanese | 1415 | — |
| LMArena Korean | 1380 | — |
| LMArena Spanish | 1454 | — |
Instruction Following GLM-4.5 leads
GLM-4.5: 74.1 (#104), Hunyuan Large Vision: 65.8 (#215)
| Benchmark | GLM-4.5 | Hunyuan Large Vision |
|---|---|---|
| LMArena Instruction Following | 1404 | 1251 |
Long Context Too close to call
GLM-4.5: 38.2 (#201), Hunyuan Large Vision: 38.9 (#189)
| Benchmark | GLM-4.5 | Hunyuan Large Vision |
|---|---|---|
| LMArena Longer Query | 1412 | 1280 |
| Fiction.LiveBench | 58.3% | — |
Writing & Preference GLM-4.5 leads
GLM-4.5: 57.5 (#127), Hunyuan Large Vision: 46.5 (#218)
| Benchmark | GLM-4.5 | Hunyuan Large Vision |
|---|---|---|
| LMArena Text | 1430 | 1263 |
| LMArena Creative Writing | 1395 | 1248 |
| LMArena Multi-Turn | 1415 | 1254 |
| Short-Story Creative Writing | 73.4% | — |
| EQ-Bench Creative Writing | 1343 | — |
Frequently asked questions
Is GLM-4.5 better than Hunyuan Large Vision?
GLM-4.5 is the stronger model overall, scoring 42.0 to 37.6 on the Noometry Index.
Is GLM-4.5 or Hunyuan Large Vision better for coding?
GLM-4.5 scores higher on coding benchmarks: 41.4 versus 38.3 in the Noometry coding category.
How many benchmarks do GLM-4.5 and Hunyuan Large Vision share?
12 benchmarks have published results for both models. GLM-4.5 has 27 scored results on Noometry and Hunyuan Large Vision has 13.