Model comparison
DBRX vs GLM-4.7-Flash
GLM-4.7-Flash is the stronger model overall, scoring 38.8 to 29.4 on the Noometry Index.
Last verified . 17 shared benchmarks.
Summary
- They share 17 benchmarks with published results for both. DBRX scores higher in 1 category and GLM-4.7-Flash in 7 categories; 7 gaps are clear of the uncertainty.
- The widest gap is in knowledge, where GLM-4.7-Flash leads 35.5 to 14.9.
- The biggest single-benchmark swing is GPQA Diamond: 32.9% for DBRX and 60.5% for GLM-4.7-Flash.
Side by side
| DBRX | GLM-4.7-Flash | |
|---|---|---|
| Provider | Databricks | Z.ai (Zhipu) |
| Noometry Index | 29.4 | 38.8 |
| Released | 2024-03-27 | 2026-01-19 |
| Weights | Open | Open |
| Context window | — | 200K |
| Max output | — | 131K |
| Input $ / M tokens | — | $0.06 |
| Output $ / M tokens | — | $0.40 |
| Results tracked | 21 | 21 |
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Category by category
Coding GLM-4.7-Flash leads
DBRX: 32.9 (#266), GLM-4.7-Flash: 40.6 (#135)
| Benchmark | DBRX | GLM-4.7-Flash |
|---|---|---|
| LMArena Coding | 1132 | 1383 |
| HumanEval+ | 70.1% | — |
| MBPP+ | 55.8% | — |
Reasoning Too close to call
DBRX: 21.4 (#222), GLM-4.7-Flash: 20.9 (#229)
| Benchmark | DBRX | GLM-4.7-Flash |
|---|---|---|
| LMArena Hard Prompts | 1113 | 1356 |
| Chess Puzzles | — | 0% |
Math GLM-4.7-Flash leads
DBRX: 24.3 (#269), GLM-4.7-Flash: 36.1 (#173)
| Benchmark | DBRX | GLM-4.7-Flash |
|---|---|---|
| LMArena Math | 1145 | 1355 |
| OTIS Mock AIME 2024-2025 | — | 58.3% |
| MATH Level 5 | 11.7% | — |
Knowledge GLM-4.7-Flash leads
DBRX: 14.9 (#294), GLM-4.7-Flash: 35.5 (#184)
| Benchmark | DBRX | GLM-4.7-Flash |
|---|---|---|
| GPQA Diamond | 32.9% | 60.5% |
| LMArena Expert | 1076 | 1357 |
| Vectara Hallucination Rate | — | 9.3% |
Multilingual GLM-4.7-Flash leads
DBRX: 29.3 (#268), GLM-4.7-Flash: 46.5 (#158)
| Benchmark | DBRX | GLM-4.7-Flash |
|---|---|---|
| LMArena Non-English | 1071 | 1330 |
| LMArena Chinese | 1068 | 1403 |
| LMArena French | 1096 | 1332 |
| LMArena German | 1057 | 1337 |
| LMArena Korean | 993 | 1283 |
| LMArena Russian | 1078 | 1332 |
| LMArena Spanish | 1064 | 1350 |
| LMArena Japanese | 990 | — |
Instruction Following GLM-4.7-Flash leads
DBRX: 57.5 (#270), GLM-4.7-Flash: 70.1 (#167)
| Benchmark | DBRX | GLM-4.7-Flash |
|---|---|---|
| LMArena Instruction Following | 1112 | 1327 |
Long Context GLM-4.7-Flash leads
DBRX: 33.7 (#258), GLM-4.7-Flash: 40.9 (#148)
| Benchmark | DBRX | GLM-4.7-Flash |
|---|---|---|
| LMArena Longer Query | 1112 | 1345 |
Writing & Preference GLM-4.7-Flash leads
DBRX: 33.6 (#275), GLM-4.7-Flash: 47.4 (#210)
| Benchmark | DBRX | GLM-4.7-Flash |
|---|---|---|
| LMArena Text | 1119 | 1351 |
| LMArena Creative Writing | 1104 | 1297 |
| LMArena Multi-Turn | 1111 | 1342 |
| EQ-Bench Creative Writing | — | 1125 |
Frequently asked questions
Is DBRX better than GLM-4.7-Flash?
GLM-4.7-Flash is the stronger model overall, scoring 38.8 to 29.4 on the Noometry Index.
Is DBRX or GLM-4.7-Flash better for coding?
GLM-4.7-Flash scores higher on coding benchmarks: 40.6 versus 32.9 in the Noometry coding category.
How many benchmarks do DBRX and GLM-4.7-Flash share?
17 benchmarks have published results for both models. DBRX has 21 scored results on Noometry and GLM-4.7-Flash has 21.