# DeepSeek Coder 6.7B vs Gemini 1.5 Flash (May 2024)

> Gemini 1.5 Flash (May 2024) has enough public results to be ranked (#246); DeepSeek Coder 6.7B does not yet, so treat this comparison as directional.

- Canonical page: https://noometry.com/compare/deepseek-coder-6-7b-vs-gemini-1-5-flash
- Last updated: 2026-10-11
- Shared benchmarks: 7

## Summary

- They share 7 benchmarks with published results for both. DeepSeek Coder 6.7B scores higher in 1 category and Gemini 1.5 Flash (May 2024) in 0 categories; one gap is clear of the uncertainty.
- The biggest single-benchmark swing is BigCodeBench Complete: 43.8% for DeepSeek Coder 6.7B and 55.1% for Gemini 1.5 Flash (May 2024).
- DeepSeek Coder 6.7B has downloadable open weights; the other is API-only.

## Snapshot

| | DeepSeek Coder 6.7B | Gemini 1.5 Flash (May 2024) |
|---|---|---|
| Provider | DeepSeek | Google |
| Noometry Index | 37.6 | 33.2 |
| Rank | — | 246 |
| Context | — | — |
| Input $/M | — | — |
| Output $/M | — | — |
| Weights | Open | Proprietary |

## Coding

- DeepSeek Coder 6.7B: 35.8 (#219)
- Gemini 1.5 Flash (May 2024): 34.4 (#236)

| Benchmark | DeepSeek Coder 6.7B | Gemini 1.5 Flash (May 2024) |
|---|---|---|
| BigCodeBench Instruct | 35.5% | 43.5% |
| BigCodeBench Complete | 43.8% | 55.1% |
| HumanEval+ | 71.3% | 75.6% |
| MBPP+ | 65.6% | 67.5% |
| WeirdML | — | 24.9% |
| LMArena Coding | — | 1261 |

## Agentic & Tool Use

- DeepSeek Coder 6.7B: —
- Gemini 1.5 Flash (May 2024): 26.6 (#102)

| Benchmark | DeepSeek Coder 6.7B | Gemini 1.5 Flash (May 2024) |
|---|---|---|
| BALROG | — | 14.6% |

## Reasoning

- DeepSeek Coder 6.7B: —
- Gemini 1.5 Flash (May 2024): 21.7 (#215)

| Benchmark | DeepSeek Coder 6.7B | Gemini 1.5 Flash (May 2024) |
|---|---|---|
| Epoch Capabilities Index | 89.62 | 129.36 |
| LMArena Hard Prompts | — | 1257 |
| DTBench | — | 53.8% |
| ForecastBench | — | 53.9 |
| PIQA | — | 87.5% |
| WinoGrande | 57.6% | — |

## Math

- DeepSeek Coder 6.7B: —
- Gemini 1.5 Flash (May 2024): 22.1 (#281)

| Benchmark | DeepSeek Coder 6.7B | Gemini 1.5 Flash (May 2024) |
|---|---|---|
| GSM8K | 21.3% | 82.4% |
| OTIS Mock AIME 2024-2025 | — | 16.3% |
| Omni-MATH | — | 30.4% |
| LMArena Math | — | 1269 |
| MATH Level 5 | — | 61.9% |
| FrontierMath (Feb 2025 set) | — | 0% |

## Knowledge

- DeepSeek Coder 6.7B: —
- Gemini 1.5 Flash (May 2024): 26.2 (#260)

| Benchmark | DeepSeek Coder 6.7B | Gemini 1.5 Flash (May 2024) |
|---|---|---|
| MMLU | 36.4% | 77.9% |
| GPQA Diamond | — | 47.3% |
| MMLU-Pro | — | 67.8% |
| GPQA (HELM) | — | 43.7% |
| LMArena Expert | — | 1233 |
| ARC (AI2) Challenge | 36.4% | — |
| BoolQ | — | 85.8% |

## Multimodal

- DeepSeek Coder 6.7B: —
- Gemini 1.5 Flash (May 2024): 36.0 (#81)

| Benchmark | DeepSeek Coder 6.7B | Gemini 1.5 Flash (May 2024) |
|---|---|---|
| LMArena Vision | — | 1141 |
| Video-MME | — | 70.3% |
| GeoBench | — | 76% |

## Multilingual

- DeepSeek Coder 6.7B: —
- Gemini 1.5 Flash (May 2024): 42.9 (#189)

| Benchmark | DeepSeek Coder 6.7B | Gemini 1.5 Flash (May 2024) |
|---|---|---|
| LMArena Non-English | — | 1278 |
| LMArena Chinese | — | 1295 |
| LMArena French | — | 1258 |
| LMArena German | — | 1262 |
| LMArena Japanese | — | 1252 |
| LMArena Korean | — | 1221 |
| LMArena Russian | — | 1288 |
| LMArena Spanish | — | 1243 |

## Instruction Following

- DeepSeek Coder 6.7B: —
- Gemini 1.5 Flash (May 2024): 66.8 (#205)

| Benchmark | DeepSeek Coder 6.7B | Gemini 1.5 Flash (May 2024) |
|---|---|---|
| IFEval | — | 83.1% |
| LMArena Instruction Following | — | 1258 |

## Long Context

- DeepSeek Coder 6.7B: —
- Gemini 1.5 Flash (May 2024): 39.0 (#187)

| Benchmark | DeepSeek Coder 6.7B | Gemini 1.5 Flash (May 2024) |
|---|---|---|
| LMArena Longer Query | — | 1284 |

## Writing & Preference

- DeepSeek Coder 6.7B: —
- Gemini 1.5 Flash (May 2024): 48.7 (#196)

| Benchmark | DeepSeek Coder 6.7B | Gemini 1.5 Flash (May 2024) |
|---|---|---|
| LMArena Text | — | 1287 |
| LMArena Creative Writing | — | 1285 |
| WildBench | — | 79.2% |
| LMArena Multi-Turn | — | 1253 |

## FAQ

### Is DeepSeek Coder 6.7B better than Gemini 1.5 Flash (May 2024)?

Gemini 1.5 Flash (May 2024) has enough public results to be ranked (#246); DeepSeek Coder 6.7B does not yet, so treat this comparison as directional.

### Is DeepSeek Coder 6.7B or Gemini 1.5 Flash (May 2024) better for coding?

DeepSeek Coder 6.7B scores higher on coding benchmarks: 35.8 versus 34.4 in the Noometry coding category.

### How many benchmarks do DeepSeek Coder 6.7B and Gemini 1.5 Flash (May 2024) share?

7 benchmarks have published results for both models. DeepSeek Coder 6.7B has 9 scored results on Noometry and Gemini 1.5 Flash (May 2024) has 42.