Model comparison
DBRX vs GLM-4.6V
GLM-4.6V is the stronger model overall, scoring 40.9 to 29.0 on the Noometry Index.
Last verified . 11 shared benchmarks.
DatabricksSummary
- They share 11 benchmarks with published results for both. DBRX scores higher in 0 categories and GLM-4.6V in 7 categories; 7 gaps are clear of the uncertainty.
- The widest gap is in writing & preference, where GLM-4.6V leads 56.8 to 33.7.
Side by side
| DBRX | GLM-4.6V | |
|---|---|---|
| Provider | Databricks | Z.ai (Zhipu) |
| Noometry Index | 29.0 | 40.9 |
| Released | 2024-03-27 | 2025-12-08 |
| Weights | Open | Open |
| Context window | — | 128K |
| Max output | — | 33K |
| Input $ / M tokens | — | $0.30 |
| Output $ / M tokens | — | $0.90 |
| Results tracked | 21 | 12 |
Sponsored placements are available on pages like this one. Advertise on Noometry
Category by category
Coding GLM-4.6V leads
DBRX: 32.3 (#262), GLM-4.6V: 40.2 (#128)
| Benchmark | DBRX | GLM-4.6V |
|---|---|---|
| LMArena Coding | 1132 | 1390 |
| HumanEval+ | 70.1% | — |
| MBPP+ | 55.8% | — |
Reasoning GLM-4.6V leads
DBRX: 20.5 (#218), GLM-4.6V: 26.5 (#117)
| Benchmark | DBRX | GLM-4.6V |
|---|---|---|
| LMArena Hard Prompts | 1113 | 1368 |
Math Not comparable
DBRX: 22.3 (#265), GLM-4.6V: —
| Benchmark | DBRX | GLM-4.6V |
|---|---|---|
| LMArena Math | 1145 | — |
| MATH Level 5 | 11.7% | — |
Knowledge GLM-4.6V leads
DBRX: 14.9 (#289), GLM-4.6V: 37.4 (#148)
| Benchmark | DBRX | GLM-4.6V |
|---|---|---|
| LMArena Expert | 1076 | 1372 |
| GPQA Diamond | 32.9% | — |
Multimodal Not comparable
DBRX: —, GLM-4.6V: 34.2 (#83)
| Benchmark | DBRX | GLM-4.6V |
|---|---|---|
| LMArena Vision | — | 1164 |
Multilingual GLM-4.6V leads
DBRX: 29.4 (#263), GLM-4.6V: 48.8 (#135)
| Benchmark | DBRX | GLM-4.6V |
|---|---|---|
| LMArena Non-English | 1071 | 1359 |
| LMArena Chinese | 1068 | 1426 |
| LMArena Russian | 1078 | 1341 |
| LMArena French | 1095 | — |
| LMArena German | 1057 | — |
| LMArena Japanese | 990 | — |
| LMArena Korean | 993 | — |
| LMArena Spanish | 1064 | — |
Instruction Following GLM-4.6V leads
DBRX: 57.7 (#265), GLM-4.6V: 71.6 (#145)
| Benchmark | DBRX | GLM-4.6V |
|---|---|---|
| LMArena Instruction Following | 1112 | 1351 |
Long Context GLM-4.6V leads
DBRX: 33.7 (#253), GLM-4.6V: 41.3 (#138)
| Benchmark | DBRX | GLM-4.6V |
|---|---|---|
| LMArena Longer Query | 1112 | 1358 |
Writing & Preference GLM-4.6V leads
DBRX: 33.7 (#271), GLM-4.6V: 56.8 (#132)
| Benchmark | DBRX | GLM-4.6V |
|---|---|---|
| LMArena Text | 1119 | 1377 |
| LMArena Creative Writing | 1104 | 1347 |
| LMArena Multi-Turn | 1111 | 1359 |
Frequently asked questions
Is DBRX better than GLM-4.6V?
GLM-4.6V is the stronger model overall, scoring 40.9 to 29.0 on the Noometry Index.
Is DBRX or GLM-4.6V better for coding?
GLM-4.6V scores higher on coding benchmarks: 40.2 versus 32.3 in the Noometry coding category.
How many benchmarks do DBRX and GLM-4.6V share?
11 benchmarks have published results for both models. DBRX has 21 scored results on Noometry and GLM-4.6V has 12.