Model comparison
DBRX vs GLM-4.5
GLM-4.5 is the stronger model overall, scoring 42.0 to 29.4 on the Noometry Index.
Last verified . 17 shared benchmarks.
DatabricksSummary
- They share 17 benchmarks with published results for both. DBRX scores higher in 0 categories and GLM-4.5 in 8 categories; 8 gaps are clear of the uncertainty.
- The widest gap is in writing & preference, where GLM-4.5 leads 57.5 to 33.6.
Side by side
| DBRX | GLM-4.5 | |
|---|---|---|
| Provider | Databricks | Z.ai (Zhipu) |
| Noometry Index | 29.4 | 42.0 |
| Released | 2024-03-27 | 2025-07-27 |
| Weights | Open | Open |
| Context window | — | 131K |
| Max output | — | 98K |
| Input $ / M tokens | — | $0.60 |
| Output $ / M tokens | — | $2.20 |
| Results tracked | 21 | 27 |
Sponsored placements are available on pages like this one. Advertise on Noometry
Category by category
Coding GLM-4.5 leads
DBRX: 32.9 (#266), GLM-4.5: 41.4 (#125)
| Benchmark | DBRX | GLM-4.5 |
|---|---|---|
| LMArena Coding | 1132 | 1434 |
| SWE-bench Verified (bash only) | — | 54.2% |
| WeirdML | — | 40.6% |
| ALE-Bench | — | 344.82 |
| AlgoTune | — | 1.52 |
| HumanEval+ | 70.1% | — |
| MBPP+ | 55.8% | — |
Reasoning GLM-4.5 leads
DBRX: 21.4 (#222), GLM-4.5: 28.6 (#100)
| Benchmark | DBRX | GLM-4.5 |
|---|---|---|
| LMArena Hard Prompts | 1113 | 1429 |
| Kagi LLM Benchmark | — | 57.9% |
Math GLM-4.5 leads
DBRX: 24.3 (#269), GLM-4.5: 39.0 (#116)
| Benchmark | DBRX | GLM-4.5 |
|---|---|---|
| LMArena Math | 1145 | 1427 |
| MATH Level 5 | 11.7% | — |
Knowledge GLM-4.5 leads
DBRX: 14.9 (#294), GLM-4.5: 35.9 (#179)
| Benchmark | DBRX | GLM-4.5 |
|---|---|---|
| LMArena Expert | 1076 | 1433 |
| GPQA Diamond | 32.9% | — |
| Humanity's Last Exam | — | 8.3% |
| Confabulations | — | 11.3% |
Multilingual GLM-4.5 leads
DBRX: 29.3 (#268), GLM-4.5: 52.8 (#77)
| Benchmark | DBRX | GLM-4.5 |
|---|---|---|
| LMArena Non-English | 1071 | 1417 |
| LMArena Chinese | 1068 | 1465 |
| LMArena French | 1096 | 1418 |
| LMArena German | 1057 | 1407 |
| LMArena Japanese | 990 | 1415 |
| LMArena Korean | 993 | 1380 |
| LMArena Russian | 1078 | 1414 |
| LMArena Spanish | 1064 | 1454 |
Instruction Following GLM-4.5 leads
DBRX: 57.5 (#270), GLM-4.5: 74.1 (#104)
| Benchmark | DBRX | GLM-4.5 |
|---|---|---|
| LMArena Instruction Following | 1112 | 1404 |
Long Context GLM-4.5 leads
DBRX: 33.7 (#258), GLM-4.5: 38.2 (#201)
| Benchmark | DBRX | GLM-4.5 |
|---|---|---|
| LMArena Longer Query | 1112 | 1412 |
| Fiction.LiveBench | — | 58.3% |
Writing & Preference GLM-4.5 leads
DBRX: 33.6 (#275), GLM-4.5: 57.5 (#127)
| Benchmark | DBRX | GLM-4.5 |
|---|---|---|
| LMArena Text | 1119 | 1430 |
| LMArena Creative Writing | 1104 | 1395 |
| LMArena Multi-Turn | 1111 | 1415 |
| Short-Story Creative Writing | — | 73.4% |
| EQ-Bench Creative Writing | — | 1343 |
Frequently asked questions
Is DBRX better than GLM-4.5?
GLM-4.5 is the stronger model overall, scoring 42.0 to 29.4 on the Noometry Index.
Is DBRX or GLM-4.5 better for coding?
GLM-4.5 scores higher on coding benchmarks: 41.4 versus 32.9 in the Noometry coding category.
How many benchmarks do DBRX and GLM-4.5 share?
17 benchmarks have published results for both models. DBRX has 21 scored results on Noometry and GLM-4.5 has 27.