# DeepSeek-V2 (MoE-236B, May 2024) vs Gemini 1.5 Pro (May 2024)

> Gemini 1.5 Pro (May 2024) has enough public results to be ranked (#261); DeepSeek-V2 (MoE-236B, May 2024) does not yet, so treat this comparison as directional.

- Canonical page: https://noometry.com/compare/deepseek-v2-vs-gemini-1-5-pro
- Last updated: 2026-10-10
- Shared benchmarks: 5

## Summary

- They share 5 benchmarks with published results for both. DeepSeek-V2 (MoE-236B, May 2024) scores higher in 1 category and Gemini 1.5 Pro (May 2024) in 0 categories; one gap is clear of the uncertainty.
- The widest gap is in coding, where DeepSeek-V2 (MoE-236B, May 2024) leads 40.4 to 34.2.
- The biggest single-benchmark swing is BigCodeBench Instruct: 48.9% for DeepSeek-V2 (MoE-236B, May 2024) and 43.8% for Gemini 1.5 Pro (May 2024).
- DeepSeek-V2 (MoE-236B, May 2024) has downloadable open weights; the other is API-only.

## Snapshot

| | DeepSeek-V2 (MoE-236B, May 2024) | Gemini 1.5 Pro (May 2024) |
|---|---|---|
| Provider | DeepSeek | Google |
| Noometry Index | 40.3 | 32.1 |
| Rank | — | 261 |
| Context | — | — |
| Input $/M | — | — |
| Output $/M | — | — |
| Weights | Open | Proprietary |

## Coding

- DeepSeek-V2 (MoE-236B, May 2024): 40.4 (#139)
- Gemini 1.5 Pro (May 2024): 34.2 (#241)

| Benchmark | DeepSeek-V2 (MoE-236B, May 2024) | Gemini 1.5 Pro (May 2024) |
|---|---|---|
| BigCodeBench Instruct | 48.9% | 43.8% |
| BigCodeBench Complete | 59.4% | 57.5% |
| WeirdML | — | 22.2% |
| LMArena Coding | — | 1294 |
| CadEval | — | 34% |
| HumanEval+ | — | 79.3% |
| MBPP+ | — | 74.6% |

## Agentic & Tool Use

- DeepSeek-V2 (MoE-236B, May 2024): —
- Gemini 1.5 Pro (May 2024): 17.9 (#145)

| Benchmark | DeepSeek-V2 (MoE-236B, May 2024) | Gemini 1.5 Pro (May 2024) |
|---|---|---|
| TheAgentCompany | — | 3.4% |
| Cybench | — | 7.5% |
| BALROG | — | 21% |

## Reasoning

- DeepSeek-V2 (MoE-236B, May 2024): —
- Gemini 1.5 Pro (May 2024): 12.3 (#338)

| Benchmark | DeepSeek-V2 (MoE-236B, May 2024) | Gemini 1.5 Pro (May 2024) |
|---|---|---|
| BIG-Bench Hard | 78.8% | 89.2% |
| Epoch Capabilities Index | 124.77 | 131.73 |
| ARC-AGI-2 | — | 0.8% |
| SimpleBench | — | 27.1% |
| LMArena Hard Prompts | — | 1296 |
| DTBench | — | 59% |
| ForecastBench | — | 58.4 |
| HellaSwag | 87.1% | — |
| PIQA | 83.9% | — |
| WinoGrande | 86.3% | — |

## Math

- DeepSeek-V2 (MoE-236B, May 2024): —
- Gemini 1.5 Pro (May 2024): 25.8 (#266)

| Benchmark | DeepSeek-V2 (MoE-236B, May 2024) | Gemini 1.5 Pro (May 2024) |
|---|---|---|
| OTIS Mock AIME 2024-2025 | — | 23.1% |
| Omni-MATH | — | 36.4% |
| LMArena Math | — | 1315 |
| MATH Level 5 | — | 70.4% |

## Knowledge

- DeepSeek-V2 (MoE-236B, May 2024): —
- Gemini 1.5 Pro (May 2024): 29.4 (#239)

| Benchmark | DeepSeek-V2 (MoE-236B, May 2024) | Gemini 1.5 Pro (May 2024) |
|---|---|---|
| MMLU | 78.4% | 86.9% |
| GPQA Diamond | — | 57.2% |
| Humanity's Last Exam | — | 4.6% |
| MMLU-Pro | — | 73.7% |
| Confabulations | — | 13.5% |
| GPQA (HELM) | — | 53.4% |
| LMArena Expert | — | 1279 |
| ARC (AI2) Challenge | 92.2% | — |
| TriviaQA | 80% | — |

## Multimodal

- DeepSeek-V2 (MoE-236B, May 2024): —
- Gemini 1.5 Pro (May 2024): 36.8 (#77)

| Benchmark | DeepSeek-V2 (MoE-236B, May 2024) | Gemini 1.5 Pro (May 2024) |
|---|---|---|
| LMArena Vision | — | 1161 |
| Video-MME | — | 75% |

## Multilingual

- DeepSeek-V2 (MoE-236B, May 2024): —
- Gemini 1.5 Pro (May 2024): 45.3 (#174)

| Benchmark | DeepSeek-V2 (MoE-236B, May 2024) | Gemini 1.5 Pro (May 2024) |
|---|---|---|
| LMArena Non-English | — | 1312 |
| LMArena Chinese | — | 1331 |
| LMArena French | — | 1302 |
| LMArena German | — | 1286 |
| LMArena Japanese | — | 1292 |
| LMArena Korean | — | 1298 |
| LMArena Russian | — | 1320 |
| LMArena Spanish | — | 1311 |

## Instruction Following

- DeepSeek-V2 (MoE-236B, May 2024): —
- Gemini 1.5 Pro (May 2024): 68.6 (#185)

| Benchmark | DeepSeek-V2 (MoE-236B, May 2024) | Gemini 1.5 Pro (May 2024) |
|---|---|---|
| IFEval | — | 83.7% |
| LMArena Instruction Following | — | 1297 |

## Long Context

- DeepSeek-V2 (MoE-236B, May 2024): —
- Gemini 1.5 Pro (May 2024): 39.8 (#169)

| Benchmark | DeepSeek-V2 (MoE-236B, May 2024) | Gemini 1.5 Pro (May 2024) |
|---|---|---|
| LMArena Longer Query | — | 1308 |

## Writing & Preference

- DeepSeek-V2 (MoE-236B, May 2024): —
- Gemini 1.5 Pro (May 2024): 52.4 (#172)

| Benchmark | DeepSeek-V2 (MoE-236B, May 2024) | Gemini 1.5 Pro (May 2024) |
|---|---|---|
| LMArena Text | — | 1319 |
| LMArena Creative Writing | — | 1333 |
| WildBench | — | 81.3% |
| LMArena Multi-Turn | — | 1296 |

## FAQ

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

Gemini 1.5 Pro (May 2024) has enough public results to be ranked (#261); DeepSeek-V2 (MoE-236B, May 2024) does not yet, so treat this comparison as directional.

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

DeepSeek-V2 (MoE-236B, May 2024) scores higher on coding benchmarks: 40.4 versus 34.2 in the Noometry coding category.

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

5 benchmarks have published results for both models. DeepSeek-V2 (MoE-236B, May 2024) has 10 scored results on Noometry and Gemini 1.5 Pro (May 2024) has 45.