# DeepSeek-V2 (MoE-236B, May 2024) vs GPT-4 Turbo

> GPT-4 Turbo has enough public results to be ranked (#281); DeepSeek-V2 (MoE-236B, May 2024) does not yet, so treat this comparison as directional.

- Canonical page: https://noometry.com/compare/deepseek-v2-vs-gpt-4-turbo
- Last updated: 2026-10-10
- Shared benchmarks: 4

## Summary

- They share 4 benchmarks with published results for both. DeepSeek-V2 (MoE-236B, May 2024) scores higher in 1 category and GPT-4 Turbo 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 33.4.
- DeepSeek-V2 (MoE-236B, May 2024) has downloadable open weights; the other is API-only.

## Snapshot

| | DeepSeek-V2 (MoE-236B, May 2024) | GPT-4 Turbo |
|---|---|---|
| Provider | DeepSeek | OpenAI |
| Noometry Index | 39.7 | 30.3 |
| Rank | — | 281 |
| Context | — | 128K |
| Input $/M | — | $10 |
| Output $/M | — | $30 |
| Weights | Open | Proprietary |

## Coding

- DeepSeek-V2 (MoE-236B, May 2024): 39.8 (#141)
- GPT-4 Turbo: 33.4 (#247)

| Benchmark | DeepSeek-V2 (MoE-236B, May 2024) | GPT-4 Turbo |
|---|---|---|
| BigCodeBench Instruct | 48.9% | 48.2% |
| BigCodeBench Complete | 59.4% | 58.2% |
| WeirdML | — | 18% |
| LMArena Coding | — | 1268 |
| HumanEval+ | — | 86.6% |
| MBPP+ | — | 73.3% |

## Agentic & Tool Use

- DeepSeek-V2 (MoE-236B, May 2024): —
- GPT-4 Turbo: —

| Benchmark | DeepSeek-V2 (MoE-236B, May 2024) | GPT-4 Turbo |
|---|---|---|
| METR Time Horizons | — | 36.7% |

## Reasoning

- DeepSeek-V2 (MoE-236B, May 2024): —
- GPT-4 Turbo: 14.9 (#311)

| Benchmark | DeepSeek-V2 (MoE-236B, May 2024) | GPT-4 Turbo |
|---|---|---|
| Epoch Capabilities Index | 124.78 | 127.25 |
| SimpleBench | — | 25.1% |
| Chess Puzzles | — | 6% |
| LMArena Hard Prompts | — | 1251 |
| DTBench | — | 61.6% |
| LMCA | — | 9.8% |
| BIG-Bench Hard | 78.8% | — |
| ForecastBench | — | 59.4 |
| HellaSwag | 87.1% | — |
| PIQA | 83.9% | — |
| WinoGrande | 86.3% | — |

## Math

- DeepSeek-V2 (MoE-236B, May 2024): —
- GPT-4 Turbo: 8.6 (#316)

| Benchmark | DeepSeek-V2 (MoE-236B, May 2024) | GPT-4 Turbo |
|---|---|---|
| FrontierMath (Tiers 1-3) | — | 0.7% |
| OTIS Mock AIME 2024-2025 | — | 6.7% |
| LMArena Math | — | 1272 |
| MATH Level 5 | — | 46.7% |

## Knowledge

- DeepSeek-V2 (MoE-236B, May 2024): —
- GPT-4 Turbo: 24.3 (#263)

| Benchmark | DeepSeek-V2 (MoE-236B, May 2024) | GPT-4 Turbo |
|---|---|---|
| MMLU | 78.4% | 81.3% |
| GPQA Diamond | — | 46.6% |
| Confabulations | — | 28.4% |
| LMArena Expert | — | 1223 |
| ARC (AI2) Challenge | 92.2% | — |
| TriviaQA | 80% | — |

## Multimodal

- DeepSeek-V2 (MoE-236B, May 2024): —
- GPT-4 Turbo: 30.0 (#104)

| Benchmark | DeepSeek-V2 (MoE-236B, May 2024) | GPT-4 Turbo |
|---|---|---|
| LMArena Vision | — | 1090 |

## Multilingual

- DeepSeek-V2 (MoE-236B, May 2024): —
- GPT-4 Turbo: 40.7 (#211)

| Benchmark | DeepSeek-V2 (MoE-236B, May 2024) | GPT-4 Turbo |
|---|---|---|
| LMArena Non-English | — | 1245 |
| LMArena Chinese | — | 1242 |
| LMArena French | — | 1275 |
| LMArena German | — | 1259 |
| LMArena Japanese | — | 1194 |
| LMArena Korean | — | 1187 |
| LMArena Russian | — | 1259 |
| LMArena Spanish | — | 1260 |

## Instruction Following

- DeepSeek-V2 (MoE-236B, May 2024): —
- GPT-4 Turbo: 66.0 (#211)

| Benchmark | DeepSeek-V2 (MoE-236B, May 2024) | GPT-4 Turbo |
|---|---|---|
| LMArena Instruction Following | — | 1250 |

## Long Context

- DeepSeek-V2 (MoE-236B, May 2024): —
- GPT-4 Turbo: 38.0 (#200)

| Benchmark | DeepSeek-V2 (MoE-236B, May 2024) | GPT-4 Turbo |
|---|---|---|
| LMArena Longer Query | — | 1254 |

## Writing & Preference

- DeepSeek-V2 (MoE-236B, May 2024): —
- GPT-4 Turbo: 47.9 (#201)

| Benchmark | DeepSeek-V2 (MoE-236B, May 2024) | GPT-4 Turbo |
|---|---|---|
| LMArena Text | — | 1272 |
| LMArena Creative Writing | — | 1269 |
| LMArena Multi-Turn | — | 1267 |

## FAQ

### Is DeepSeek-V2 (MoE-236B, May 2024) better than GPT-4 Turbo?

GPT-4 Turbo has enough public results to be ranked (#281); DeepSeek-V2 (MoE-236B, May 2024) does not yet, so treat this comparison as directional.

### Is DeepSeek-V2 (MoE-236B, May 2024) or GPT-4 Turbo better for coding?

DeepSeek-V2 (MoE-236B, May 2024) scores higher on coding benchmarks: 39.8 versus 33.4 in the Noometry coding category.

### How many benchmarks do DeepSeek-V2 (MoE-236B, May 2024) and GPT-4 Turbo share?

4 benchmarks have published results for both models. DeepSeek-V2 (MoE-236B, May 2024) has 10 scored results on Noometry and GPT-4 Turbo has 36.