Model comparison
ERNIE 5.0 0110 vs GLM-4.6V
ERNIE 5.0 0110 and GLM-4.6V score almost the same on the Noometry Index (41.8 vs 41.3), so choose on price, context window or the category you care about most.
Last verified . 12 shared benchmarks.
BaiduSummary
- They share 12 benchmarks with published results for both. ERNIE 5.0 0110 scores higher in 7 categories and GLM-4.6V in 1 category; 8 gaps are clear of the uncertainty.
- The widest gap is in reasoning, where GLM-4.6V leads 27.6 to 17.0.
- GLM-4.6V has downloadable open weights; the other is API-only.
Side by side
| ERNIE 5.0 0110 | GLM-4.6V | |
|---|---|---|
| Provider | Baidu | Z.ai (Zhipu) |
| Noometry Index | 41.8 | 41.3 |
| Released | — | 2025-12-08 |
| Weights | Proprietary | Open |
| Context window | — | 128K |
| Max output | — | 33K |
| Input $ / M tokens | — | $0.30 |
| Output $ / M tokens | — | $0.90 |
| Results tracked | 20 | 12 |
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Category by category
Coding ERNIE 5.0 0110 leads
ERNIE 5.0 0110: 43.0 (#94), GLM-4.6V: 40.9 (#128)
| Benchmark | ERNIE 5.0 0110 | GLM-4.6V |
|---|---|---|
| LMArena Coding | 1455 | 1390 |
Reasoning GLM-4.6V leads
ERNIE 5.0 0110: 17.0 (#297), GLM-4.6V: 27.6 (#115)
| Benchmark | ERNIE 5.0 0110 | GLM-4.6V |
|---|---|---|
| LMArena Hard Prompts | 1445 | 1368 |
| NYT Connections (extended) | 10.3% | — |
| Thematic Generalization | 41.7% | — |
Math Not comparable
ERNIE 5.0 0110: 39.3 (#110), GLM-4.6V: —
| Benchmark | ERNIE 5.0 0110 | GLM-4.6V |
|---|---|---|
| LMArena Math | 1437 | — |
Knowledge ERNIE 5.0 0110 leads
ERNIE 5.0 0110: 39.8 (#128), GLM-4.6V: 38.0 (#149)
| Benchmark | ERNIE 5.0 0110 | GLM-4.6V |
|---|---|---|
| LMArena Expert | 1428 | 1371 |
Multimodal ERNIE 5.0 0110 leads
ERNIE 5.0 0110: 39.9 (#53), GLM-4.6V: 34.8 (#90)
| Benchmark | ERNIE 5.0 0110 | GLM-4.6V |
|---|---|---|
| LMArena Vision | 1249 | 1164 |
Multilingual ERNIE 5.0 0110 leads
ERNIE 5.0 0110: 54.1 (#49), GLM-4.6V: 48.6 (#141)
| Benchmark | ERNIE 5.0 0110 | GLM-4.6V |
|---|---|---|
| LMArena Non-English | 1436 | 1359 |
| LMArena Chinese | 1512 | 1425 |
| LMArena Russian | 1446 | 1340 |
| LMArena French | 1467 | — |
| LMArena German | 1460 | — |
| LMArena Japanese | 1382 | — |
| LMArena Korean | 1406 | — |
| LMArena Spanish | 1473 | — |
Instruction Following ERNIE 5.0 0110 leads
ERNIE 5.0 0110: 74.5 (#92), GLM-4.6V: 71.4 (#151)
| Benchmark | ERNIE 5.0 0110 | GLM-4.6V |
|---|---|---|
| LMArena Instruction Following | 1413 | 1352 |
Long Context ERNIE 5.0 0110 leads
ERNIE 5.0 0110: 43.4 (#95), GLM-4.6V: 41.3 (#143)
| Benchmark | ERNIE 5.0 0110 | GLM-4.6V |
|---|---|---|
| LMArena Longer Query | 1422 | 1358 |
Writing & Preference ERNIE 5.0 0110 leads
ERNIE 5.0 0110: 63.1 (#66), GLM-4.6V: 56.6 (#137)
| Benchmark | ERNIE 5.0 0110 | GLM-4.6V |
|---|---|---|
| LMArena Text | 1445 | 1377 |
| LMArena Creative Writing | 1426 | 1347 |
| LMArena Multi-Turn | 1434 | 1360 |
Frequently asked questions
Is ERNIE 5.0 0110 better than GLM-4.6V?
ERNIE 5.0 0110 and GLM-4.6V score almost the same on the Noometry Index (41.8 vs 41.3), so choose on price, context window or the category you care about most.
Is ERNIE 5.0 0110 or GLM-4.6V better for coding?
ERNIE 5.0 0110 scores higher on coding benchmarks: 43.0 versus 40.9 in the Noometry coding category.
How many benchmarks do ERNIE 5.0 0110 and GLM-4.6V share?
12 benchmarks have published results for both models. ERNIE 5.0 0110 has 20 scored results on Noometry and GLM-4.6V has 12.