# DeepSeek Coder 6.7B vs Gemini 2.0 Flash-Lite

> Gemini 2.0 Flash-Lite has enough public results to be ranked (#194); 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-2-0-flash-lite
- Last updated: 2026-10-11
- Shared benchmarks: 0

## Summary

- DeepSeek Coder 6.7B has downloadable open weights; the other is API-only.

## Snapshot

| | DeepSeek Coder 6.7B | Gemini 2.0 Flash-Lite |
|---|---|---|
| Provider | DeepSeek | Google |
| Noometry Index | 37.6 | 37.8 |
| Rank | — | 194 |
| Context | — | — |
| Input $/M | — | — |
| Output $/M | — | — |
| Weights | Open | Proprietary |

## Coding

- DeepSeek Coder 6.7B: 35.8 (#219)
- Gemini 2.0 Flash-Lite: 37.9 (#185)

| Benchmark | DeepSeek Coder 6.7B | Gemini 2.0 Flash-Lite |
|---|---|---|
| BigCodeBench Instruct | 35.5% | — |
| LiveBench Coding | — | 47.1% |
| LMArena Coding | — | 1322 |
| BigCodeBench Complete | 43.8% | — |
| HumanEval+ | 71.3% | — |
| MBPP+ | 65.6% | — |

## Reasoning

- DeepSeek Coder 6.7B: —
- Gemini 2.0 Flash-Lite: 22.0 (#210)

| Benchmark | DeepSeek Coder 6.7B | Gemini 2.0 Flash-Lite |
|---|---|---|
| LiveBench Reasoning | — | 50.1% |
| LMArena Hard Prompts | — | 1324 |
| DTBench | — | 52.5% |
| LiveBench Data Analysis | — | 65.5% |
| Epoch Capabilities Index | 89.62 | — |
| ForecastBench | — | 57.1 |
| LiveBench | — | 54.3% |
| WinoGrande | 57.6% | — |

## Math

- DeepSeek Coder 6.7B: —
- Gemini 2.0 Flash-Lite: 34.1 (#196)

| Benchmark | DeepSeek Coder 6.7B | Gemini 2.0 Flash-Lite |
|---|---|---|
| Omni-MATH | — | 37.4% |
| LiveBench Math | — | 58.1% |
| LMArena Math | — | 1309 |
| GSM8K | 21.3% | — |

## Knowledge

- DeepSeek Coder 6.7B: —
- Gemini 2.0 Flash-Lite: 35.0 (#189)

| Benchmark | DeepSeek Coder 6.7B | Gemini 2.0 Flash-Lite |
|---|---|---|
| MMLU-Pro | — | 72% |
| GPQA (HELM) | — | 50% |
| LMArena Expert | — | 1305 |
| ARC (AI2) Challenge | 36.4% | — |
| MMLU | 36.4% | — |

## Multimodal

- DeepSeek Coder 6.7B: —
- Gemini 2.0 Flash-Lite: 31.2 (#109)

| Benchmark | DeepSeek Coder 6.7B | Gemini 2.0 Flash-Lite |
|---|---|---|
| LMArena Vision | — | 1100 |

## Multilingual

- DeepSeek Coder 6.7B: —
- Gemini 2.0 Flash-Lite: 46.0 (#161)

| Benchmark | DeepSeek Coder 6.7B | Gemini 2.0 Flash-Lite |
|---|---|---|
| LMArena Non-English | — | 1323 |
| LMArena Chinese | — | 1339 |
| LMArena French | — | 1347 |
| LMArena German | — | 1306 |
| LMArena Japanese | — | 1301 |
| LMArena Korean | — | 1325 |
| LMArena Russian | — | 1328 |
| LMArena Spanish | — | 1313 |

## Instruction Following

- DeepSeek Coder 6.7B: —
- Gemini 2.0 Flash-Lite: 70.4 (#163)

| Benchmark | DeepSeek Coder 6.7B | Gemini 2.0 Flash-Lite |
|---|---|---|
| LiveBench Instruction Following | — | 78.3% |
| IFEval | — | 82.4% |
| LMArena Instruction Following | — | 1305 |

## Long Context

- DeepSeek Coder 6.7B: —
- Gemini 2.0 Flash-Lite: 40.1 (#160)

| Benchmark | DeepSeek Coder 6.7B | Gemini 2.0 Flash-Lite |
|---|---|---|
| LMArena Longer Query | — | 1320 |

## Writing & Preference

- DeepSeek Coder 6.7B: —
- Gemini 2.0 Flash-Lite: 51.7 (#177)

| Benchmark | DeepSeek Coder 6.7B | Gemini 2.0 Flash-Lite |
|---|---|---|
| LMArena Text | — | 1330 |
| LMArena Creative Writing | — | 1319 |
| WildBench | — | 79% |
| LMArena Multi-Turn | — | 1307 |
| LiveBench Language | — | 34.3% |

## FAQ

### Is DeepSeek Coder 6.7B better than Gemini 2.0 Flash-Lite?

Gemini 2.0 Flash-Lite has enough public results to be ranked (#194); DeepSeek Coder 6.7B does not yet, so treat this comparison as directional.

### Is DeepSeek Coder 6.7B or Gemini 2.0 Flash-Lite better for coding?

Gemini 2.0 Flash-Lite scores higher on coding benchmarks: 37.9 versus 35.8 in the Noometry coding category.

### How many benchmarks do DeepSeek Coder 6.7B and Gemini 2.0 Flash-Lite share?

0 benchmarks have published results for both models. DeepSeek Coder 6.7B has 9 scored results on Noometry and Gemini 2.0 Flash-Lite has 32.