# DeepSeek-V2 (MoE-236B, May 2024) vs DeepSeek-V3

> DeepSeek-V3 has enough public results to be ranked (#166); DeepSeek-V2 (MoE-236B, May 2024) does not yet, so treat this comparison as directional.

- Canonical page: https://noometry.com/compare/deepseek-v2-vs-deepseek-v3
- Last updated: 2026-10-10
- Shared benchmarks: 10

## Summary

- They share 10 benchmarks with published results for both. DeepSeek-V2 (MoE-236B, May 2024) scores higher in 0 categories and DeepSeek-V3 in 1 category; one gap is clear of the uncertainty.

## Snapshot

| | DeepSeek-V2 (MoE-236B, May 2024) | DeepSeek-V3 |
|---|---|---|
| Provider | DeepSeek | DeepSeek |
| Noometry Index | 40.3 | 39.5 |
| Rank | — | 166 |
| Context | — | 164K |
| Input $/M | — | $0.24 |
| Output $/M | — | $0.90 |
| Weights | Open | Open |

## Coding

- DeepSeek-V2 (MoE-236B, May 2024): 40.4 (#139)
- DeepSeek-V3: 42.3 (#106)

| Benchmark | DeepSeek-V2 (MoE-236B, May 2024) | DeepSeek-V3 |
|---|---|---|
| BigCodeBench Instruct | 48.9% | 50% |
| BigCodeBench Complete | 59.4% | 62.2% |
| Aider Polyglot | — | 55.1% |
| SciCode | — | 35.8% |
| WeirdML | — | 36.1% |
| LiveBench Coding | — | 70.9% |
| LMArena Coding | — | 1368 |
| HumanEval+ | — | 86.6% |
| MBPP+ | — | 73% |

## Agentic & Tool Use

- DeepSeek-V2 (MoE-236B, May 2024): —
- DeepSeek-V3: —

| Benchmark | DeepSeek-V2 (MoE-236B, May 2024) | DeepSeek-V3 |
|---|---|---|
| METR Time Horizons | — | 49.6% |

## Reasoning

- DeepSeek-V2 (MoE-236B, May 2024): —
- DeepSeek-V3: 20.5 (#236)

| Benchmark | DeepSeek-V2 (MoE-236B, May 2024) | DeepSeek-V3 |
|---|---|---|
| BIG-Bench Hard | 78.8% | 87.5% |
| Epoch Capabilities Index | 124.77 | 135.94 |
| HellaSwag | 87.1% | 88.9% |
| PIQA | 83.9% | 84.7% |
| WinoGrande | 86.3% | 85.2% |
| SimpleBench | — | 27.2% |
| Kagi LLM Benchmark | — | 52.3% |
| CritPt | — | 0% |
| LiveBench Reasoning | — | 65.8% |
| LMArena Hard Prompts | — | 1365 |
| DTBench | — | 64.8% |
| LiveBench Data Analysis | — | 60.9% |
| LMCA | — | 15.5% |
| ForecastBench | — | 59.1 |
| LiveBench | — | 66.9% |

## Math

- DeepSeek-V2 (MoE-236B, May 2024): —
- DeepSeek-V3: 32.1 (#219)

| Benchmark | DeepSeek-V2 (MoE-236B, May 2024) | DeepSeek-V3 |
|---|---|---|
| OTIS Mock AIME 2024-2025 | — | 37.8% |
| Omni-MATH | — | 40.3% |
| LiveBench Math | — | 73.5% |
| LMArena Math | — | 1373 |
| MATH Level 5 | — | 75.5% |
| FrontierMath (Feb 2025 set) | — | 1.7% |

## Knowledge

- DeepSeek-V2 (MoE-236B, May 2024): —
- DeepSeek-V3: 37.5 (#155)

| Benchmark | DeepSeek-V2 (MoE-236B, May 2024) | DeepSeek-V3 |
|---|---|---|
| ARC (AI2) Challenge | 92.2% | 95.3% |
| MMLU | 78.4% | 87.2% |
| TriviaQA | 80% | 82.9% |
| GPQA Diamond | — | 67.6% |
| MMLU-Pro | — | 72.3% |
| Confabulations | — | 26.1% |
| Vectara Hallucination Rate | — | 6.1% |
| GPQA (HELM) | — | 53.8% |
| LMArena Expert | — | 1351 |

## Multilingual

- DeepSeek-V2 (MoE-236B, May 2024): —
- DeepSeek-V3: 48.5 (#143)

| Benchmark | DeepSeek-V2 (MoE-236B, May 2024) | DeepSeek-V3 |
|---|---|---|
| LMArena Non-English | — | 1358 |
| LMArena Chinese | — | 1391 |
| LMArena French | — | 1385 |
| LMArena German | — | 1374 |
| LMArena Japanese | — | 1333 |
| LMArena Korean | — | 1319 |
| LMArena Russian | — | 1373 |
| LMArena Spanish | — | 1358 |

## Instruction Following

- DeepSeek-V2 (MoE-236B, May 2024): —
- DeepSeek-V3: 72.8 (#130)

| Benchmark | DeepSeek-V2 (MoE-236B, May 2024) | DeepSeek-V3 |
|---|---|---|
| LiveBench Instruction Following | — | 81.5% |
| IFEval | — | 83.2% |
| LMArena Instruction Following | — | 1345 |

## Long Context

- DeepSeek-V2 (MoE-236B, May 2024): —
- DeepSeek-V3: 34.0 (#253)

| Benchmark | DeepSeek-V2 (MoE-236B, May 2024) | DeepSeek-V3 |
|---|---|---|
| Fiction.LiveBench | — | 50% |
| LMArena Longer Query | — | 1352 |

## Writing & Preference

- DeepSeek-V2 (MoE-236B, May 2024): —
- DeepSeek-V3: 57.4 (#130)

| Benchmark | DeepSeek-V2 (MoE-236B, May 2024) | DeepSeek-V3 |
|---|---|---|
| LMArena Text | — | 1375 |
| LMArena Creative Writing | — | 1364 |
| Short-Story Creative Writing | — | 77% |
| EQ-Bench Creative Writing | — | 1472 |
| WildBench | — | 83% |
| LMArena Multi-Turn | — | 1389 |
| LiveBench Language | — | 49.1% |

## FAQ

### Is DeepSeek-V2 (MoE-236B, May 2024) better than DeepSeek-V3?

DeepSeek-V3 has enough public results to be ranked (#166); DeepSeek-V2 (MoE-236B, May 2024) does not yet, so treat this comparison as directional.

### Is DeepSeek-V2 (MoE-236B, May 2024) or DeepSeek-V3 better for coding?

DeepSeek-V3 scores higher on coding benchmarks: 42.3 versus 40.4 in the Noometry coding category.

### How many benchmarks do DeepSeek-V2 (MoE-236B, May 2024) and DeepSeek-V3 share?

10 benchmarks have published results for both models. DeepSeek-V2 (MoE-236B, May 2024) has 10 scored results on Noometry and DeepSeek-V3 has 60.