Model comparison
Dolly 2.0-12b vs GLM-4.5
GLM-4.5 is the stronger model overall, scoring 42.0 to 25.5 on the Noometry Index.
Last verified . 9 shared benchmarks.
DatabricksSummary
- They share 9 benchmarks with published results for both. Dolly 2.0-12b scores higher in 0 categories and GLM-4.5 in 6 categories; 6 gaps are clear of the uncertainty.
- The widest gap is in writing & preference, where GLM-4.5 leads 57.5 to 15.2.
Side by side
| Dolly 2.0-12b | GLM-4.5 | |
|---|---|---|
| Provider | Databricks | Z.ai (Zhipu) |
| Noometry Index | 25.5 | 42.0 |
| Released | 2023-04-11 | 2025-07-27 |
| Weights | Open | Open |
| Context window | — | 131K |
| Max output | — | 98K |
| Input $ / M tokens | — | $0.60 |
| Output $ / M tokens | — | $2.20 |
| Results tracked | 17 | 27 |
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Category by category
Coding GLM-4.5 leads
Dolly 2.0-12b: 23.4 (#332), GLM-4.5: 41.4 (#125)
| Benchmark | Dolly 2.0-12b | GLM-4.5 |
|---|---|---|
| LMArena Coding | 776 | 1434 |
| SWE-bench Verified (bash only) | — | 54.2% |
| WeirdML | — | 40.6% |
| ALE-Bench | — | 344.82 |
| AlgoTune | — | 1.52 |
Reasoning GLM-4.5 leads
Dolly 2.0-12b: 15.3 (#316), GLM-4.5: 28.6 (#100)
| Benchmark | Dolly 2.0-12b | GLM-4.5 |
|---|---|---|
| LMArena Hard Prompts | 804 | 1429 |
| Kagi LLM Benchmark | — | 57.9% |
| Epoch Capabilities Index | 89.67 | — |
| HellaSwag | 70.8% | — |
| PIQA | 75.4% | — |
| WinoGrande | 61.8% | — |
Math GLM-4.5 leads
Dolly 2.0-12b: 27.3 (#251), GLM-4.5: 39.0 (#116)
| Benchmark | Dolly 2.0-12b | GLM-4.5 |
|---|---|---|
| LMArena Math | 871 | 1427 |
Knowledge Not comparable
Dolly 2.0-12b: —, GLM-4.5: 35.9 (#179)
| Benchmark | Dolly 2.0-12b | GLM-4.5 |
|---|---|---|
| Humanity's Last Exam | — | 8.3% |
| Confabulations | — | 11.3% |
| LMArena Expert | — | 1433 |
| ARC (AI2) Challenge | 39.6% | — |
| BoolQ | 56.3% | — |
| MMLU | 26.2% | — |
| OpenBookQA | 39.2% | — |
Multilingual GLM-4.5 leads
Dolly 2.0-12b: 17.4 (#296), GLM-4.5: 52.8 (#77)
| Benchmark | Dolly 2.0-12b | GLM-4.5 |
|---|---|---|
| LMArena Non-English | 836 | 1417 |
| LMArena Chinese | 836 | 1465 |
| LMArena French | — | 1418 |
| LMArena German | — | 1407 |
| LMArena Japanese | — | 1415 |
| LMArena Korean | — | 1380 |
| LMArena Russian | — | 1414 |
| LMArena Spanish | — | 1454 |
Instruction Following GLM-4.5 leads
Dolly 2.0-12b: 38.7 (#304), GLM-4.5: 74.1 (#104)
| Benchmark | Dolly 2.0-12b | GLM-4.5 |
|---|---|---|
| LMArena Instruction Following | 814 | 1404 |
Long Context Not comparable
Dolly 2.0-12b: —, GLM-4.5: 38.2 (#201)
| Benchmark | Dolly 2.0-12b | GLM-4.5 |
|---|---|---|
| Fiction.LiveBench | — | 58.3% |
| LMArena Longer Query | — | 1412 |
Writing & Preference GLM-4.5 leads
Dolly 2.0-12b: 15.2 (#311), GLM-4.5: 57.5 (#127)
| Benchmark | Dolly 2.0-12b | GLM-4.5 |
|---|---|---|
| LMArena Text | 851 | 1430 |
| LMArena Creative Writing | 864 | 1395 |
| LMArena Multi-Turn | 740 | 1415 |
| Short-Story Creative Writing | — | 73.4% |
| EQ-Bench Creative Writing | — | 1343 |
Frequently asked questions
Is Dolly 2.0-12b better than GLM-4.5?
GLM-4.5 is the stronger model overall, scoring 42.0 to 25.5 on the Noometry Index.
Is Dolly 2.0-12b or GLM-4.5 better for coding?
GLM-4.5 scores higher on coding benchmarks: 41.4 versus 23.4 in the Noometry coding category.
How many benchmarks do Dolly 2.0-12b and GLM-4.5 share?
9 benchmarks have published results for both models. Dolly 2.0-12b has 17 scored results on Noometry and GLM-4.5 has 27.