# DeepSeek-V2 (MoE-236B, May 2024) vs Nemotron 3.5 Lightning

> Nemotron 3.5 Lightning has enough public results to be ranked (#155); DeepSeek-V2 (MoE-236B, May 2024) does not yet, so treat this comparison as directional.

- Canonical page: https://noometry.com/compare/deepseek-v2-vs-nemotron-3-5-lightning
- Last updated: 2026-10-12
- Shared benchmarks: 0

## Snapshot

| | DeepSeek-V2 (MoE-236B, May 2024) | Nemotron 3.5 Lightning |
|---|---|---|
| Provider | DeepSeek | NVIDIA |
| Noometry Index | 40.3 | 40.0 |
| Rank | — | 155 |
| Context | — | 262K |
| Input $/M | — | $0.05 |
| Output $/M | — | $0.20 |
| Weights | Open | Open |

## Coding

- DeepSeek-V2 (MoE-236B, May 2024): 40.4 (#139)
- Nemotron 3.5 Lightning: 40.4 (#141)

| Benchmark | DeepSeek-V2 (MoE-236B, May 2024) | Nemotron 3.5 Lightning |
|---|---|---|
| BigCodeBench Instruct | 48.9% | — |
| LMArena Coding | — | 1375 |
| BigCodeBench Complete | 59.4% | — |

## Reasoning

- DeepSeek-V2 (MoE-236B, May 2024): —
- Nemotron 3.5 Lightning: 26.8 (#127)

| Benchmark | DeepSeek-V2 (MoE-236B, May 2024) | Nemotron 3.5 Lightning |
|---|---|---|
| LMArena Hard Prompts | — | 1337 |
| BIG-Bench Hard | 78.8% | — |
| Epoch Capabilities Index | 124.77 | — |
| HellaSwag | 87.1% | — |
| PIQA | 83.9% | — |
| WinoGrande | 86.3% | — |

## Math

- DeepSeek-V2 (MoE-236B, May 2024): —
- Nemotron 3.5 Lightning: 37.5 (#155)

| Benchmark | DeepSeek-V2 (MoE-236B, May 2024) | Nemotron 3.5 Lightning |
|---|---|---|
| LMArena Math | — | 1359 |

## Knowledge

- DeepSeek-V2 (MoE-236B, May 2024): —
- Nemotron 3.5 Lightning: 37.5 (#154)

| Benchmark | DeepSeek-V2 (MoE-236B, May 2024) | Nemotron 3.5 Lightning |
|---|---|---|
| LMArena Expert | — | 1356 |
| ARC (AI2) Challenge | 92.2% | — |
| MMLU | 78.4% | — |
| TriviaQA | 80% | — |

## Multilingual

- DeepSeek-V2 (MoE-236B, May 2024): —
- Nemotron 3.5 Lightning: 44.0 (#180)

| Benchmark | DeepSeek-V2 (MoE-236B, May 2024) | Nemotron 3.5 Lightning |
|---|---|---|
| LMArena Non-English | — | 1295 |
| LMArena Chinese | — | 1359 |
| LMArena French | — | 1366 |
| LMArena German | — | 1282 |
| LMArena Japanese | — | 1206 |
| LMArena Korean | — | 1238 |
| LMArena Russian | — | 1253 |
| LMArena Spanish | — | 1345 |

## Instruction Following

- DeepSeek-V2 (MoE-236B, May 2024): —
- Nemotron 3.5 Lightning: 69.6 (#170)

| Benchmark | DeepSeek-V2 (MoE-236B, May 2024) | Nemotron 3.5 Lightning |
|---|---|---|
| LMArena Instruction Following | — | 1318 |

## Long Context

- DeepSeek-V2 (MoE-236B, May 2024): —
- Nemotron 3.5 Lightning: 39.9 (#165)

| Benchmark | DeepSeek-V2 (MoE-236B, May 2024) | Nemotron 3.5 Lightning |
|---|---|---|
| LMArena Longer Query | — | 1314 |

## Writing & Preference

- DeepSeek-V2 (MoE-236B, May 2024): —
- Nemotron 3.5 Lightning: 48.5 (#201)

| Benchmark | DeepSeek-V2 (MoE-236B, May 2024) | Nemotron 3.5 Lightning |
|---|---|---|
| LMArena Text | — | 1327 |
| LMArena Creative Writing | — | 1254 |
| EQ-Bench Creative Writing | — | 1280 |
| LMArena Multi-Turn | — | 1328 |

## FAQ

### Is DeepSeek-V2 (MoE-236B, May 2024) better than Nemotron 3.5 Lightning?

Nemotron 3.5 Lightning has enough public results to be ranked (#155); DeepSeek-V2 (MoE-236B, May 2024) does not yet, so treat this comparison as directional.

### Is DeepSeek-V2 (MoE-236B, May 2024) or Nemotron 3.5 Lightning better for coding?

They score almost the same on coding (40.4 vs 40.4); test both on your own repository before choosing.

### How many benchmarks do DeepSeek-V2 (MoE-236B, May 2024) and Nemotron 3.5 Lightning share?

0 benchmarks have published results for both models. DeepSeek-V2 (MoE-236B, May 2024) has 10 scored results on Noometry and Nemotron 3.5 Lightning has 18.