Model comparison
DBRX vs GLM-4.7
GLM-4.7 is the stronger model overall, scoring 42.0 to 29.4 on the Noometry Index.
Last verified . 18 shared benchmarks.
DatabricksSummary
- They share 18 benchmarks with published results for both. DBRX scores higher in 0 categories and GLM-4.7 in 8 categories; 8 gaps are clear of the uncertainty.
- The widest gap is in knowledge, where GLM-4.7 leads 47.0 to 14.9.
- The biggest single-benchmark swing is GPQA Diamond: 32.9% for DBRX and 83.3% for GLM-4.7.
Side by side
| DBRX | GLM-4.7 | |
|---|---|---|
| Provider | Databricks | Z.ai (Zhipu) |
| Noometry Index | 29.4 | 42.0 |
| Released | 2024-03-27 | 2025-12-22 |
| Weights | Open | Open |
| Context window | — | 205K |
| Max output | — | 131K |
| Input $ / M tokens | — | $0.60 |
| Output $ / M tokens | — | $2.20 |
| Results tracked | 21 | 36 |
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Category by category
Coding GLM-4.7 leads
DBRX: 32.9 (#266), GLM-4.7: 44.0 (#79)
| Benchmark | DBRX | GLM-4.7 |
|---|---|---|
| LMArena Coding | 1132 | 1454 |
| LMArena WebDev | — | 1435 |
| SciCode | — | 45.1% |
| ALE-Bench | — | 399.48 |
| HumanEval+ | 70.1% | — |
| MBPP+ | 55.8% | — |
Agentic & Tool Use Not comparable
DBRX: —, GLM-4.7: 26.5 (#103)
| Benchmark | DBRX | GLM-4.7 |
|---|---|---|
| Terminal-Bench | — | 33.4% |
| Vending-Bench 2 | — | 2,377 |
Reasoning GLM-4.7 leads
DBRX: 21.4 (#222), GLM-4.7: 24.3 (#164)
| Benchmark | DBRX | GLM-4.7 |
|---|---|---|
| LMArena Hard Prompts | 1113 | 1443 |
| SimpleBench | — | 47.7% |
| CritPt | — | 1.7% |
| Chess Puzzles | — | 6% |
| Epoch Capabilities Index | — | 143.51 |
Math GLM-4.7 leads
DBRX: 24.3 (#269), GLM-4.7: 38.6 (#135)
| Benchmark | DBRX | GLM-4.7 |
|---|---|---|
| LMArena Math | 1145 | 1423 |
| OTIS Mock AIME 2024-2025 | — | 83.3% |
| ProofBench | — | 6% |
| MATH Level 5 | 11.7% | — |
| FrontierMath (Feb 2025 set) | — | 2.4% |
| FrontierMath Tier 4 (v1) | — | 0% |
Knowledge GLM-4.7 leads
DBRX: 14.9 (#294), GLM-4.7: 47.0 (#80)
| Benchmark | DBRX | GLM-4.7 |
|---|---|---|
| GPQA Diamond | 32.9% | 83.3% |
| LMArena Expert | 1076 | 1424 |
| SimpleQA Verified | — | 32.2% |
| Vectara Hallucination Rate | — | 11.7% |
Multilingual GLM-4.7 leads
DBRX: 29.3 (#268), GLM-4.7: 52.8 (#79)
| Benchmark | DBRX | GLM-4.7 |
|---|---|---|
| LMArena Non-English | 1071 | 1417 |
| LMArena Chinese | 1068 | 1495 |
| LMArena French | 1096 | 1432 |
| LMArena German | 1057 | 1424 |
| LMArena Japanese | 990 | 1439 |
| LMArena Korean | 993 | 1399 |
| LMArena Russian | 1078 | 1423 |
| LMArena Spanish | 1064 | 1434 |
Instruction Following GLM-4.7 leads
DBRX: 57.5 (#270), GLM-4.7: 74.4 (#95)
| Benchmark | DBRX | GLM-4.7 |
|---|---|---|
| LMArena Instruction Following | 1112 | 1411 |
Long Context GLM-4.7 leads
DBRX: 33.7 (#258), GLM-4.7: 42.8 (#116)
| Benchmark | DBRX | GLM-4.7 |
|---|---|---|
| LMArena Longer Query | 1112 | 1432 |
| CL-bench | — | 15.9% |
| CL-bench Life | — | 10.9% |
Writing & Preference GLM-4.7 leads
DBRX: 33.6 (#275), GLM-4.7: 60.9 (#93)
| Benchmark | DBRX | GLM-4.7 |
|---|---|---|
| LMArena Text | 1119 | 1435 |
| LMArena Creative Writing | 1104 | 1401 |
| LMArena Multi-Turn | 1111 | 1446 |
| EQ-Bench Creative Writing | — | 1413 |
Frequently asked questions
Is DBRX better than GLM-4.7?
GLM-4.7 is the stronger model overall, scoring 42.0 to 29.4 on the Noometry Index.
Is DBRX or GLM-4.7 better for coding?
GLM-4.7 scores higher on coding benchmarks: 44.0 versus 32.9 in the Noometry coding category.
How many benchmarks do DBRX and GLM-4.7 share?
18 benchmarks have published results for both models. DBRX has 21 scored results on Noometry and GLM-4.7 has 36.