# DeepSeek-V2 (MoE-236B, May 2024) vs Dolly 2.0-12b

> Dolly 2.0-12b has enough public results to be ranked (#339); DeepSeek-V2 (MoE-236B, May 2024) does not yet, so treat this comparison as directional.

- Canonical page: https://noometry.com/compare/deepseek-v2-vs-dolly-2-0-12b
- Last updated: 2026-10-10
- Shared benchmarks: 6

## Summary

- They share 6 benchmarks with published results for both. DeepSeek-V2 (MoE-236B, May 2024) scores higher in 1 category and Dolly 2.0-12b in 0 categories; one gap is clear of the uncertainty.
- The widest gap is in coding, where DeepSeek-V2 (MoE-236B, May 2024) leads 39.8 to 23.0.

## Snapshot

| | DeepSeek-V2 (MoE-236B, May 2024) | Dolly 2.0-12b |
|---|---|---|
| Provider | DeepSeek | Databricks |
| Noometry Index | 39.7 | 24.9 |
| Rank | — | 339 |
| Context | — | — |
| Input $/M | — | — |
| Output $/M | — | — |
| Weights | Open | Open |

## Coding

- DeepSeek-V2 (MoE-236B, May 2024): 39.8 (#141)
- Dolly 2.0-12b: 23.0 (#327)

| Benchmark | DeepSeek-V2 (MoE-236B, May 2024) | Dolly 2.0-12b |
|---|---|---|
| BigCodeBench Instruct | 48.9% | — |
| LMArena Coding | — | 776 |
| BigCodeBench Complete | 59.4% | — |

## Reasoning

- DeepSeek-V2 (MoE-236B, May 2024): —
- Dolly 2.0-12b: 14.6 (#315)

| Benchmark | DeepSeek-V2 (MoE-236B, May 2024) | Dolly 2.0-12b |
|---|---|---|
| Epoch Capabilities Index | 124.78 | 88.94 |
| HellaSwag | 87.1% | 70.8% |
| PIQA | 83.9% | 75.4% |
| WinoGrande | 86.3% | 61.8% |
| LMArena Hard Prompts | — | 804 |
| BIG-Bench Hard | 78.8% | — |

## Math

- DeepSeek-V2 (MoE-236B, May 2024): —
- Dolly 2.0-12b: 25.0 (#250)

| Benchmark | DeepSeek-V2 (MoE-236B, May 2024) | Dolly 2.0-12b |
|---|---|---|
| LMArena Math | — | 871 |

## Knowledge

- DeepSeek-V2 (MoE-236B, May 2024): —
- Dolly 2.0-12b: —

| Benchmark | DeepSeek-V2 (MoE-236B, May 2024) | Dolly 2.0-12b |
|---|---|---|
| ARC (AI2) Challenge | 92.2% | 39.6% |
| MMLU | 78.4% | 26.2% |
| BoolQ | — | 56.3% |
| OpenBookQA | — | 39.2% |
| TriviaQA | 80% | — |

## Multilingual

- DeepSeek-V2 (MoE-236B, May 2024): —
- Dolly 2.0-12b: 17.4 (#291)

| Benchmark | DeepSeek-V2 (MoE-236B, May 2024) | Dolly 2.0-12b |
|---|---|---|
| LMArena Non-English | — | 836 |
| LMArena Chinese | — | 836 |

## Instruction Following

- DeepSeek-V2 (MoE-236B, May 2024): —
- Dolly 2.0-12b: 38.9 (#299)

| Benchmark | DeepSeek-V2 (MoE-236B, May 2024) | Dolly 2.0-12b |
|---|---|---|
| LMArena Instruction Following | — | 814 |

## Writing & Preference

- DeepSeek-V2 (MoE-236B, May 2024): —
- Dolly 2.0-12b: 15.3 (#306)

| Benchmark | DeepSeek-V2 (MoE-236B, May 2024) | Dolly 2.0-12b |
|---|---|---|
| LMArena Text | — | 851 |
| LMArena Creative Writing | — | 864 |
| LMArena Multi-Turn | — | 740 |

## FAQ

### Is DeepSeek-V2 (MoE-236B, May 2024) better than Dolly 2.0-12b?

Dolly 2.0-12b has enough public results to be ranked (#339); DeepSeek-V2 (MoE-236B, May 2024) does not yet, so treat this comparison as directional.

### Is DeepSeek-V2 (MoE-236B, May 2024) or Dolly 2.0-12b better for coding?

DeepSeek-V2 (MoE-236B, May 2024) scores higher on coding benchmarks: 39.8 versus 23.0 in the Noometry coding category.

### How many benchmarks do DeepSeek-V2 (MoE-236B, May 2024) and Dolly 2.0-12b share?

6 benchmarks have published results for both models. DeepSeek-V2 (MoE-236B, May 2024) has 10 scored results on Noometry and Dolly 2.0-12b has 17.