# DeepSeek-V2.5 (Sep 2024) vs Dolly 2.0-12b

> DeepSeek-V2.5 (Sep 2024) is the stronger model overall, scoring 37.6 to 25.5 on the Noometry Index.

- Canonical page: https://noometry.com/compare/deepseek-v2-5-vs-dolly-2-0-12b
- Last updated: 2026-10-12
- Shared benchmarks: 9

## Summary

- They share 9 benchmarks with published results for both. DeepSeek-V2.5 (Sep 2024) scores higher in 6 categories and Dolly 2.0-12b in 0 categories; 6 gaps are clear of the uncertainty.
- The widest gap is in writing & preference, where DeepSeek-V2.5 (Sep 2024) leads 49.8 to 15.2.

## Snapshot

| | DeepSeek-V2.5 (Sep 2024) | Dolly 2.0-12b |
|---|---|---|
| Provider | DeepSeek | Databricks |
| Noometry Index | 37.6 | 25.5 |
| Rank | 200 | 342 |
| Context | — | — |
| Input $/M | — | — |
| Output $/M | — | — |
| Weights | Open | Open |

## Coding

- DeepSeek-V2.5 (Sep 2024): 31.7 (#281)
- Dolly 2.0-12b: 23.4 (#332)

| Benchmark | DeepSeek-V2.5 (Sep 2024) | Dolly 2.0-12b |
|---|---|---|
| LMArena Coding | 1309 | 776 |
| Aider Polyglot | 17.8% | — |
| BigCodeBench Instruct | 48.6% | — |
| BigCodeBench Complete | 53.2% | — |
| HumanEval+ | 83.5% | — |
| MBPP+ | 74.1% | — |

## Reasoning

- DeepSeek-V2.5 (Sep 2024): 25.6 (#145)
- Dolly 2.0-12b: 15.3 (#316)

| Benchmark | DeepSeek-V2.5 (Sep 2024) | Dolly 2.0-12b |
|---|---|---|
| LMArena Hard Prompts | 1289 | 804 |
| Epoch Capabilities Index | — | 89.67 |
| HellaSwag | — | 70.8% |
| PIQA | — | 75.4% |
| WinoGrande | — | 61.8% |

## Math

- DeepSeek-V2.5 (Sep 2024): 35.9 (#177)
- Dolly 2.0-12b: 27.3 (#251)

| Benchmark | DeepSeek-V2.5 (Sep 2024) | Dolly 2.0-12b |
|---|---|---|
| LMArena Math | 1288 | 871 |

## Knowledge

- DeepSeek-V2.5 (Sep 2024): 34.8 (#193)
- Dolly 2.0-12b: —

| Benchmark | DeepSeek-V2.5 (Sep 2024) | Dolly 2.0-12b |
|---|---|---|
| LMArena Expert | 1266 | — |
| ARC (AI2) Challenge | — | 39.6% |
| BoolQ | — | 56.3% |
| MMLU | — | 26.2% |
| OpenBookQA | — | 39.2% |

## Multilingual

- DeepSeek-V2.5 (Sep 2024): 42.5 (#193)
- Dolly 2.0-12b: 17.4 (#296)

| Benchmark | DeepSeek-V2.5 (Sep 2024) | Dolly 2.0-12b |
|---|---|---|
| LMArena Non-English | 1273 | 836 |
| LMArena Chinese | 1318 | 836 |
| LMArena French | 1289 | — |
| LMArena German | 1258 | — |
| LMArena Japanese | 1228 | — |
| LMArena Korean | 1209 | — |
| LMArena Russian | 1289 | — |
| LMArena Spanish | 1248 | — |

## Instruction Following

- DeepSeek-V2.5 (Sep 2024): 67.5 (#194)
- Dolly 2.0-12b: 38.7 (#304)

| Benchmark | DeepSeek-V2.5 (Sep 2024) | Dolly 2.0-12b |
|---|---|---|
| LMArena Instruction Following | 1280 | 814 |

## Long Context

- DeepSeek-V2.5 (Sep 2024): 39.5 (#174)
- Dolly 2.0-12b: —

| Benchmark | DeepSeek-V2.5 (Sep 2024) | Dolly 2.0-12b |
|---|---|---|
| LMArena Longer Query | 1301 | — |

## Writing & Preference

- DeepSeek-V2.5 (Sep 2024): 49.8 (#187)
- Dolly 2.0-12b: 15.2 (#311)

| Benchmark | DeepSeek-V2.5 (Sep 2024) | Dolly 2.0-12b |
|---|---|---|
| LMArena Text | 1294 | 851 |
| LMArena Creative Writing | 1285 | 864 |
| LMArena Multi-Turn | 1297 | 740 |

## FAQ

### Is DeepSeek-V2.5 (Sep 2024) better than Dolly 2.0-12b?

DeepSeek-V2.5 (Sep 2024) is the stronger model overall, scoring 37.6 to 25.5 on the Noometry Index.

### Is DeepSeek-V2.5 (Sep 2024) or Dolly 2.0-12b better for coding?

DeepSeek-V2.5 (Sep 2024) scores higher on coding benchmarks: 31.7 versus 23.4 in the Noometry coding category.

### How many benchmarks do DeepSeek-V2.5 (Sep 2024) and Dolly 2.0-12b share?

9 benchmarks have published results for both models. DeepSeek-V2.5 (Sep 2024) has 22 scored results on Noometry and Dolly 2.0-12b has 17.