# Dolly 2.0-12b vs GLM-4.7-Flash

> GLM-4.7-Flash is the stronger model overall, scoring 38.4 to 24.9 on the Noometry Index.

- Canonical page: https://noometry.com/compare/dolly-2-0-12b-vs-glm-4-7-flash
- 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-4.7-Flash in 6 categories; 6 gaps are clear of the uncertainty.
- The widest gap is in writing & preference, where GLM-4.7-Flash leads 47.7 to 15.3.

## Snapshot

| | Dolly 2.0-12b | GLM-4.7-Flash |
|---|---|---|
| Provider | Databricks | Z.ai (Zhipu) |
| Noometry Index | 24.9 | 38.4 |
| Rank | 339 | 175 |
| Context | — | 200K |
| Input $/M | — | $0.06 |
| Output $/M | — | $0.40 |
| Weights | Open | Open |

## Coding

- Dolly 2.0-12b: 23.0 (#327)
- GLM-4.7-Flash: 40.0 (#133)

| Benchmark | Dolly 2.0-12b | GLM-4.7-Flash |
|---|---|---|
| LMArena Coding | 776 | 1383 |

## Reasoning

- Dolly 2.0-12b: 14.6 (#315)
- GLM-4.7-Flash: 20.2 (#224)

| Benchmark | Dolly 2.0-12b | GLM-4.7-Flash |
|---|---|---|
| LMArena Hard Prompts | 804 | 1356 |
| Chess Puzzles | — | 0% |
| Epoch Capabilities Index | 88.94 | — |
| HellaSwag | 70.8% | — |
| PIQA | 75.4% | — |
| WinoGrande | 61.8% | — |

## Math

- Dolly 2.0-12b: 25.0 (#250)
- GLM-4.7-Flash: 34.4 (#159)

| Benchmark | Dolly 2.0-12b | GLM-4.7-Flash |
|---|---|---|
| LMArena Math | 871 | 1354 |
| OTIS Mock AIME 2024-2025 | — | 58.3% |

## Knowledge

- Dolly 2.0-12b: —
- GLM-4.7-Flash: 35.4 (#177)

| Benchmark | Dolly 2.0-12b | GLM-4.7-Flash |
|---|---|---|
| GPQA Diamond | — | 60.5% |
| Vectara Hallucination Rate | — | 9.3% |
| LMArena Expert | — | 1357 |
| ARC (AI2) Challenge | 39.6% | — |
| BoolQ | 56.3% | — |
| MMLU | 26.2% | — |
| OpenBookQA | 39.2% | — |

## Multilingual

- Dolly 2.0-12b: 17.4 (#291)
- GLM-4.7-Flash: 46.8 (#152)

| Benchmark | Dolly 2.0-12b | GLM-4.7-Flash |
|---|---|---|
| LMArena Non-English | 836 | 1331 |
| LMArena Chinese | 836 | 1403 |
| LMArena French | — | 1332 |
| LMArena German | — | 1336 |
| LMArena Korean | — | 1284 |
| LMArena Russian | — | 1333 |
| LMArena Spanish | — | 1351 |

## Instruction Following

- Dolly 2.0-12b: 38.9 (#299)
- GLM-4.7-Flash: 70.3 (#162)

| Benchmark | Dolly 2.0-12b | GLM-4.7-Flash |
|---|---|---|
| LMArena Instruction Following | 814 | 1327 |

## Long Context

- Dolly 2.0-12b: —
- GLM-4.7-Flash: 40.9 (#143)

| Benchmark | Dolly 2.0-12b | GLM-4.7-Flash |
|---|---|---|
| LMArena Longer Query | — | 1345 |

## Writing & Preference

- Dolly 2.0-12b: 15.3 (#306)
- GLM-4.7-Flash: 47.7 (#206)

| Benchmark | Dolly 2.0-12b | GLM-4.7-Flash |
|---|---|---|
| LMArena Text | 851 | 1351 |
| LMArena Creative Writing | 864 | 1297 |
| LMArena Multi-Turn | 740 | 1342 |
| EQ-Bench Creative Writing | — | 1125 |

## FAQ

### Is Dolly 2.0-12b better than GLM-4.7-Flash?

GLM-4.7-Flash is the stronger model overall, scoring 38.4 to 24.9 on the Noometry Index.

### Is Dolly 2.0-12b or GLM-4.7-Flash better for coding?

GLM-4.7-Flash scores higher on coding benchmarks: 40.0 versus 23.0 in the Noometry coding category.

### How many benchmarks do Dolly 2.0-12b and GLM-4.7-Flash share?

9 benchmarks have published results for both models. Dolly 2.0-12b has 17 scored results on Noometry and GLM-4.7-Flash has 21.