# DeepSeek-V2 (MoE-236B, May 2024) vs Gemini 1.5 Flash 8B

> Gemini 1.5 Flash 8B has enough public results to be ranked (#292); 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-flash-8b
- Last updated: 2026-10-10
- Shared benchmarks: 0

## Summary

- The widest gap is in coding, where DeepSeek-V2 (MoE-236B, May 2024) leads 39.8 to 34.9.
- 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 Flash 8B |
|---|---|---|
| Provider | DeepSeek | Google |
| Noometry Index | 39.7 | 29.7 |
| Rank | — | 292 |
| Context | — | — |
| Input $/M | — | — |
| Output $/M | — | — |
| Weights | Open | Proprietary |

## Coding

- DeepSeek-V2 (MoE-236B, May 2024): 39.8 (#141)
- Gemini 1.5 Flash 8B: 34.9 (#221)

| Benchmark | DeepSeek-V2 (MoE-236B, May 2024) | Gemini 1.5 Flash 8B |
|---|---|---|
| BigCodeBench Instruct | 48.9% | — |
| LMArena Coding | — | 1218 |
| BigCodeBench Complete | 59.4% | — |

## Reasoning

- DeepSeek-V2 (MoE-236B, May 2024): —
- Gemini 1.5 Flash 8B: 19.2 (#242)

| Benchmark | DeepSeek-V2 (MoE-236B, May 2024) | Gemini 1.5 Flash 8B |
|---|---|---|
| LMArena Hard Prompts | — | 1210 |
| DTBench | — | 50% |
| 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): —
- Gemini 1.5 Flash 8B: 13.3 (#296)

| Benchmark | DeepSeek-V2 (MoE-236B, May 2024) | Gemini 1.5 Flash 8B |
|---|---|---|
| OTIS Mock AIME 2024-2025 | — | 4.6% |
| LMArena Math | — | 1207 |

## Knowledge

- DeepSeek-V2 (MoE-236B, May 2024): —
- Gemini 1.5 Flash 8B: 16.0 (#285)

| Benchmark | DeepSeek-V2 (MoE-236B, May 2024) | Gemini 1.5 Flash 8B |
|---|---|---|
| GPQA Diamond | — | 33% |
| LMArena Expert | — | 1185 |
| ARC (AI2) Challenge | 92.2% | — |
| MMLU | 78.4% | — |
| TriviaQA | 80% | — |

## Multimodal

- DeepSeek-V2 (MoE-236B, May 2024): —
- Gemini 1.5 Flash 8B: 27.6 (#110)

| Benchmark | DeepSeek-V2 (MoE-236B, May 2024) | Gemini 1.5 Flash 8B |
|---|---|---|
| LMArena Vision | — | 1044 |

## Multilingual

- DeepSeek-V2 (MoE-236B, May 2024): —
- Gemini 1.5 Flash 8B: 38.6 (#224)

| Benchmark | DeepSeek-V2 (MoE-236B, May 2024) | Gemini 1.5 Flash 8B |
|---|---|---|
| LMArena Non-English | — | 1215 |
| LMArena Chinese | — | 1231 |
| LMArena French | — | 1233 |
| LMArena German | — | 1206 |
| LMArena Japanese | — | 1150 |
| LMArena Korean | — | 1140 |
| LMArena Russian | — | 1236 |
| LMArena Spanish | — | 1212 |

## Instruction Following

- DeepSeek-V2 (MoE-236B, May 2024): —
- Gemini 1.5 Flash 8B: 63.1 (#231)

| Benchmark | DeepSeek-V2 (MoE-236B, May 2024) | Gemini 1.5 Flash 8B |
|---|---|---|
| LMArena Instruction Following | — | 1199 |

## Long Context

- DeepSeek-V2 (MoE-236B, May 2024): —
- Gemini 1.5 Flash 8B: 36.9 (#220)

| Benchmark | DeepSeek-V2 (MoE-236B, May 2024) | Gemini 1.5 Flash 8B |
|---|---|---|
| LMArena Longer Query | — | 1219 |

## Writing & Preference

- DeepSeek-V2 (MoE-236B, May 2024): —
- Gemini 1.5 Flash 8B: 43.0 (#227)

| Benchmark | DeepSeek-V2 (MoE-236B, May 2024) | Gemini 1.5 Flash 8B |
|---|---|---|
| LMArena Text | — | 1226 |
| LMArena Creative Writing | — | 1218 |
| LMArena Multi-Turn | — | 1185 |

## FAQ

### Is DeepSeek-V2 (MoE-236B, May 2024) better than Gemini 1.5 Flash 8B?

Gemini 1.5 Flash 8B has enough public results to be ranked (#292); 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 Flash 8B better for coding?

DeepSeek-V2 (MoE-236B, May 2024) scores higher on coding benchmarks: 39.8 versus 34.9 in the Noometry coding category.

### How many benchmarks do DeepSeek-V2 (MoE-236B, May 2024) and Gemini 1.5 Flash 8B share?

0 benchmarks have published results for both models. DeepSeek-V2 (MoE-236B, May 2024) has 10 scored results on Noometry and Gemini 1.5 Flash 8B has 21.