# Dolly 2.0-12b vs GLM-4.6

> GLM-4.6 is the stronger model overall, scoring 40.9 to 24.9 on the Noometry Index.

- Canonical page: https://noometry.com/compare/dolly-2-0-12b-vs-glm-4-6
- Last updated: 2026-10-10
- Shared benchmarks: 9

## Summary

- They share 9 benchmarks with published results for both. Dolly 2.0-12b scores higher in 0 categories and GLM-4.6 in 6 categories; 6 gaps are clear of the uncertainty.
- The widest gap is in writing & preference, where GLM-4.6 leads 61.3 to 15.3.

## Snapshot

| | Dolly 2.0-12b | GLM-4.6 |
|---|---|---|
| Provider | Databricks | Z.ai (Zhipu) |
| Noometry Index | 24.9 | 40.9 |
| Rank | 339 | 132 |
| Context | — | 205K |
| Input $/M | — | $0.60 |
| Output $/M | — | $2.20 |
| Weights | Open | Open |

## Coding

- Dolly 2.0-12b: 23.0 (#327)
- GLM-4.6: 39.9 (#137)

| Benchmark | Dolly 2.0-12b | GLM-4.6 |
|---|---|---|
| LMArena Coding | 776 | 1449 |
| SWE-bench Verified (bash only) | — | 55.4% |
| LMArena WebDev | — | 1339 |
| SciCode | — | 38.4% |
| ALE-Bench | — | 340.82 |

## Agentic & Tool Use

- Dolly 2.0-12b: —
- GLM-4.6: 32.1 (#60)

| Benchmark | Dolly 2.0-12b | GLM-4.6 |
|---|---|---|
| Terminal-Bench | — | 24.5% |
| Berkeley Function Calling Leaderboard | — | 72.4% |

## Reasoning

- Dolly 2.0-12b: 14.6 (#315)
- GLM-4.6: 23.1 (#168)

| Benchmark | Dolly 2.0-12b | GLM-4.6 |
|---|---|---|
| LMArena Hard Prompts | 804 | 1440 |
| Kagi LLM Benchmark | — | 47.4% |
| CritPt | — | 1.1% |
| Epoch Capabilities Index | 88.94 | — |
| HellaSwag | 70.8% | — |
| PIQA | 75.4% | — |
| WinoGrande | 61.8% | — |

## Math

- Dolly 2.0-12b: 25.0 (#250)
- GLM-4.6: 36.4 (#115)

| Benchmark | Dolly 2.0-12b | GLM-4.6 |
|---|---|---|
| LMArena Math | 871 | 1431 |
| FrontierMath (Feb 2025 set) | — | 3.8% |
| FrontierMath Tier 4 (v1) | — | 2.1% |

## Knowledge

- Dolly 2.0-12b: —
- GLM-4.6: 39.6 (#118)

| Benchmark | Dolly 2.0-12b | GLM-4.6 |
|---|---|---|
| Vectara Hallucination Rate | — | 9.5% |
| LMArena Expert | — | 1432 |
| ARC (AI2) Challenge | 39.6% | — |
| BoolQ | 56.3% | — |
| MMLU | 26.2% | — |
| OpenBookQA | 39.2% | — |

## Multilingual

- Dolly 2.0-12b: 17.4 (#291)
- GLM-4.6: 53.6 (#62)

| Benchmark | Dolly 2.0-12b | GLM-4.6 |
|---|---|---|
| LMArena Non-English | 836 | 1426 |
| LMArena Chinese | 836 | 1500 |
| LMArena French | — | 1459 |
| LMArena German | — | 1447 |
| LMArena Japanese | — | 1394 |
| LMArena Korean | — | 1401 |
| LMArena Russian | — | 1418 |
| LMArena Spanish | — | 1436 |

## Instruction Following

- Dolly 2.0-12b: 38.9 (#299)
- GLM-4.6: 74.5 (#93)

| Benchmark | Dolly 2.0-12b | GLM-4.6 |
|---|---|---|
| LMArena Instruction Following | 814 | 1410 |

## Long Context

- Dolly 2.0-12b: —
- GLM-4.6: 43.4 (#91)

| Benchmark | Dolly 2.0-12b | GLM-4.6 |
|---|---|---|
| LMArena Longer Query | — | 1423 |

## Writing & Preference

- Dolly 2.0-12b: 15.3 (#306)
- GLM-4.6: 61.3 (#86)

| Benchmark | Dolly 2.0-12b | GLM-4.6 |
|---|---|---|
| LMArena Text | 851 | 1440 |
| LMArena Creative Writing | 864 | 1411 |
| LMArena Multi-Turn | 740 | 1427 |
| EQ-Bench Creative Writing | — | 1411 |

## FAQ

### Is Dolly 2.0-12b better than GLM-4.6?

GLM-4.6 is the stronger model overall, scoring 40.9 to 24.9 on the Noometry Index.

### Is Dolly 2.0-12b or GLM-4.6 better for coding?

GLM-4.6 scores higher on coding benchmarks: 39.9 versus 23.0 in the Noometry coding category.

### How many benchmarks do Dolly 2.0-12b and GLM-4.6 share?

9 benchmarks have published results for both models. Dolly 2.0-12b has 17 scored results on Noometry and GLM-4.6 has 29.