# Deepseek Coder v2 vs Gemini 1.5 Flash (May 2024)

> Deepseek Coder v2 is the stronger model overall, scoring 35.9 to 33.2 on the Noometry Index.

- Canonical page: https://noometry.com/compare/deepseek-coder-v2-vs-gemini-1-5-flash
- Last updated: 2026-10-11
- Shared benchmarks: 22

## Summary

- They share 22 benchmarks with published results for both. Deepseek Coder v2 scores higher in 4 categories and Gemini 1.5 Flash (May 2024) in 4 categories; 8 gaps are clear of the uncertainty.
- The widest gap is in math, where Deepseek Coder v2 leads 34.9 to 22.1.
- Deepseek Coder v2 has downloadable open weights; the other is API-only.

## Snapshot

| | Deepseek Coder v2 | Gemini 1.5 Flash (May 2024) |
|---|---|---|
| Provider | DeepSeek | Google |
| Noometry Index | 35.9 | 33.2 |
| Rank | 220 | 246 |
| Context | — | — |
| Input $/M | — | — |
| Output $/M | — | — |
| Weights | Open | Proprietary |

## Coding

- Deepseek Coder v2: 38.1 (#183)
- Gemini 1.5 Flash (May 2024): 34.4 (#236)

| Benchmark | Deepseek Coder v2 | Gemini 1.5 Flash (May 2024) |
|---|---|---|
| BigCodeBench Instruct | 48.2% | 43.5% |
| LMArena Coding | 1251 | 1261 |
| BigCodeBench Complete | 59.7% | 55.1% |
| HumanEval+ | 82.3% | 75.6% |
| MBPP+ | 75.1% | 67.5% |
| WeirdML | — | 24.9% |

## Agentic & Tool Use

- Deepseek Coder v2: —
- Gemini 1.5 Flash (May 2024): 26.6 (#102)

| Benchmark | Deepseek Coder v2 | Gemini 1.5 Flash (May 2024) |
|---|---|---|
| BALROG | — | 14.6% |

## Reasoning

- Deepseek Coder v2: 23.6 (#176)
- Gemini 1.5 Flash (May 2024): 21.7 (#215)

| Benchmark | Deepseek Coder v2 | Gemini 1.5 Flash (May 2024) |
|---|---|---|
| LMArena Hard Prompts | 1207 | 1257 |
| DTBench | — | 53.8% |
| Epoch Capabilities Index | — | 129.36 |
| ForecastBench | — | 53.9 |
| PIQA | — | 87.5% |
| WinoGrande | 83.7% | — |

## Math

- Deepseek Coder v2: 34.9 (#190)
- Gemini 1.5 Flash (May 2024): 22.1 (#281)

| Benchmark | Deepseek Coder v2 | Gemini 1.5 Flash (May 2024) |
|---|---|---|
| LMArena Math | 1241 | 1269 |
| GSM8K | 94.5% | 82.4% |
| OTIS Mock AIME 2024-2025 | — | 16.3% |
| Omni-MATH | — | 30.4% |
| MATH Level 5 | — | 61.9% |
| FrontierMath (Feb 2025 set) | — | 0% |

## Knowledge

- Deepseek Coder v2: 32.3 (#212)
- Gemini 1.5 Flash (May 2024): 26.2 (#260)

| Benchmark | Deepseek Coder v2 | Gemini 1.5 Flash (May 2024) |
|---|---|---|
| LMArena Expert | 1181 | 1233 |
| GPQA Diamond | — | 47.3% |
| MMLU-Pro | — | 67.8% |
| GPQA (HELM) | — | 43.7% |
| ARC (AI2) Challenge | 64.3% | — |
| BoolQ | — | 85.8% |
| MMLU | — | 77.9% |

## Multimodal

- Deepseek Coder v2: —
- Gemini 1.5 Flash (May 2024): 36.0 (#81)

| Benchmark | Deepseek Coder v2 | Gemini 1.5 Flash (May 2024) |
|---|---|---|
| LMArena Vision | — | 1141 |
| Video-MME | — | 70.3% |
| GeoBench | — | 76% |

## Multilingual

- Deepseek Coder v2: 36.3 (#240)
- Gemini 1.5 Flash (May 2024): 42.9 (#189)

| Benchmark | Deepseek Coder v2 | Gemini 1.5 Flash (May 2024) |
|---|---|---|
| LMArena Non-English | 1182 | 1278 |
| LMArena Chinese | 1201 | 1295 |
| LMArena French | 1185 | 1258 |
| LMArena German | 1164 | 1262 |
| LMArena Japanese | 1126 | 1252 |
| LMArena Korean | 1104 | 1221 |
| LMArena Russian | 1188 | 1288 |
| LMArena Spanish | 1153 | 1243 |

## Instruction Following

- Deepseek Coder v2: 61.7 (#242)
- Gemini 1.5 Flash (May 2024): 66.8 (#205)

| Benchmark | Deepseek Coder v2 | Gemini 1.5 Flash (May 2024) |
|---|---|---|
| LMArena Instruction Following | 1180 | 1258 |
| IFEval | — | 83.1% |

## Long Context

- Deepseek Coder v2: 37.0 (#224)
- Gemini 1.5 Flash (May 2024): 39.0 (#187)

| Benchmark | Deepseek Coder v2 | Gemini 1.5 Flash (May 2024) |
|---|---|---|
| LMArena Longer Query | 1219 | 1284 |

## Writing & Preference

- Deepseek Coder v2: 38.2 (#253)
- Gemini 1.5 Flash (May 2024): 48.7 (#196)

| Benchmark | Deepseek Coder v2 | Gemini 1.5 Flash (May 2024) |
|---|---|---|
| LMArena Text | 1191 | 1287 |
| LMArena Creative Writing | 1120 | 1285 |
| LMArena Multi-Turn | 1177 | 1253 |
| WildBench | — | 79.2% |

## FAQ

### Is Deepseek Coder v2 better than Gemini 1.5 Flash (May 2024)?

Deepseek Coder v2 is the stronger model overall, scoring 35.9 to 33.2 on the Noometry Index.

### Is Deepseek Coder v2 or Gemini 1.5 Flash (May 2024) better for coding?

Deepseek Coder v2 scores higher on coding benchmarks: 38.1 versus 34.4 in the Noometry coding category.

### How many benchmarks do Deepseek Coder v2 and Gemini 1.5 Flash (May 2024) share?

22 benchmarks have published results for both models. Deepseek Coder v2 has 24 scored results on Noometry and Gemini 1.5 Flash (May 2024) has 42.