# DeepSeek-V2 (MoE-236B, May 2024) vs Yi-1.5-34B

> Yi-1.5-34B has enough public results to be ranked (#286); DeepSeek-V2 (MoE-236B, May 2024) does not yet, so treat this comparison as directional.

- Canonical page: https://noometry.com/compare/deepseek-v2-vs-yi-1-5-34b
- Last updated: 2026-10-10
- Shared benchmarks: 2

## Summary

- They share 2 benchmarks with published results for both. DeepSeek-V2 (MoE-236B, May 2024) scores higher in 1 category and Yi-1.5-34B 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 31.9.
- The biggest single-benchmark swing is BigCodeBench Complete: 59.4% for DeepSeek-V2 (MoE-236B, May 2024) and 43.8% for Yi-1.5-34B.

## Snapshot

| | DeepSeek-V2 (MoE-236B, May 2024) | Yi-1.5-34B |
|---|---|---|
| Provider | DeepSeek | 01.AI |
| Noometry Index | 39.7 | 30.2 |
| Rank | — | 286 |
| Context | — | — |
| Input $/M | — | — |
| Output $/M | — | — |
| Weights | Open | Open |

## Coding

- DeepSeek-V2 (MoE-236B, May 2024): 39.8 (#141)
- Yi-1.5-34B: 31.9 (#267)

| Benchmark | DeepSeek-V2 (MoE-236B, May 2024) | Yi-1.5-34B |
|---|---|---|
| BigCodeBench Instruct | 48.9% | 33.9% |
| BigCodeBench Complete | 59.4% | 43.8% |
| LMArena Coding | — | 1169 |

## Reasoning

- DeepSeek-V2 (MoE-236B, May 2024): —
- Yi-1.5-34B: 21.5 (#195)

| Benchmark | DeepSeek-V2 (MoE-236B, May 2024) | Yi-1.5-34B |
|---|---|---|
| LMArena Hard Prompts | — | 1160 |
| BIG-Bench Hard | 78.8% | — |
| Epoch Capabilities Index | 124.78 | — |
| HellaSwag | 87.1% | — |
| PIQA | 83.9% | — |
| WinoGrande | 86.3% | — |

## Math

- DeepSeek-V2 (MoE-236B, May 2024): —
- Yi-1.5-34B: 25.3 (#248)

| Benchmark | DeepSeek-V2 (MoE-236B, May 2024) | Yi-1.5-34B |
|---|---|---|
| LMArena Math | — | 1182 |
| MATH Level 5 | — | 25.5% |

## Knowledge

- DeepSeek-V2 (MoE-236B, May 2024): —
- Yi-1.5-34B: 14.8 (#290)

| Benchmark | DeepSeek-V2 (MoE-236B, May 2024) | Yi-1.5-34B |
|---|---|---|
| GPQA Diamond | — | 32% |
| LMArena Expert | — | 1144 |
| ARC (AI2) Challenge | 92.2% | — |
| MMLU | 78.4% | — |
| TriviaQA | 80% | — |

## Multilingual

- DeepSeek-V2 (MoE-236B, May 2024): —
- Yi-1.5-34B: 32.5 (#251)

| Benchmark | DeepSeek-V2 (MoE-236B, May 2024) | Yi-1.5-34B |
|---|---|---|
| LMArena Non-English | — | 1121 |
| LMArena Chinese | — | 1213 |
| LMArena French | — | 1155 |
| LMArena German | — | 1111 |
| LMArena Japanese | — | 1021 |
| LMArena Korean | — | 1005 |
| LMArena Russian | — | 1091 |
| LMArena Spanish | — | 1120 |

## Instruction Following

- DeepSeek-V2 (MoE-236B, May 2024): —
- Yi-1.5-34B: 59.4 (#252)

| Benchmark | DeepSeek-V2 (MoE-236B, May 2024) | Yi-1.5-34B |
|---|---|---|
| LMArena Instruction Following | — | 1139 |

## Long Context

- DeepSeek-V2 (MoE-236B, May 2024): —
- Yi-1.5-34B: 34.6 (#243)

| Benchmark | DeepSeek-V2 (MoE-236B, May 2024) | Yi-1.5-34B |
|---|---|---|
| LMArena Longer Query | — | 1144 |

## Writing & Preference

- DeepSeek-V2 (MoE-236B, May 2024): —
- Yi-1.5-34B: 37.6 (#252)

| Benchmark | DeepSeek-V2 (MoE-236B, May 2024) | Yi-1.5-34B |
|---|---|---|
| LMArena Text | — | 1173 |
| LMArena Creative Writing | — | 1135 |
| LMArena Multi-Turn | — | 1153 |

## FAQ

### Is DeepSeek-V2 (MoE-236B, May 2024) better than Yi-1.5-34B?

Yi-1.5-34B has enough public results to be ranked (#286); DeepSeek-V2 (MoE-236B, May 2024) does not yet, so treat this comparison as directional.

### Is DeepSeek-V2 (MoE-236B, May 2024) or Yi-1.5-34B better for coding?

DeepSeek-V2 (MoE-236B, May 2024) scores higher on coding benchmarks: 39.8 versus 31.9 in the Noometry coding category.

### How many benchmarks do DeepSeek-V2 (MoE-236B, May 2024) and Yi-1.5-34B share?

2 benchmarks have published results for both models. DeepSeek-V2 (MoE-236B, May 2024) has 10 scored results on Noometry and Yi-1.5-34B has 21.