# DeepSeek LLM 67B vs Gemini 2.0 Flash-Lite

> Gemini 2.0 Flash-Lite is the stronger model overall, scoring 37.3 to 24.8 on the Noometry Index.

- Canonical page: https://noometry.com/compare/deepseek-llm-67b-vs-gemini-2-0-flash-lite
- Last updated: 2026-10-10
- Shared benchmarks: 10

## Summary

- They share 10 benchmarks with published results for both. DeepSeek LLM 67B scores higher in 0 categories and Gemini 2.0 Flash-Lite in 8 categories; 8 gaps are clear of the uncertainty.
- The widest gap is in knowledge, where Gemini 2.0 Flash-Lite leads 34.6 to 7.1.
- DeepSeek LLM 67B has downloadable open weights; the other is API-only.

## Snapshot

| | DeepSeek LLM 67B | Gemini 2.0 Flash-Lite |
|---|---|---|
| Provider | DeepSeek | Google |
| Noometry Index | 24.8 | 37.3 |
| Rank | 341 | 189 |
| Context | — | — |
| Input $/M | — | — |
| Output $/M | — | — |
| Weights | Open | Proprietary |

## Coding

- DeepSeek LLM 67B: 31.3 (#273)
- Gemini 2.0 Flash-Lite: 37.4 (#181)

| Benchmark | DeepSeek LLM 67B | Gemini 2.0 Flash-Lite |
|---|---|---|
| LMArena Coding | 1096 | 1322 |
| LiveBench Coding | — | 47.1% |

## Reasoning

- DeepSeek LLM 67B: 15.9 (#300)
- Gemini 2.0 Flash-Lite: 21.2 (#203)

| Benchmark | DeepSeek LLM 67B | Gemini 2.0 Flash-Lite |
|---|---|---|
| LMArena Hard Prompts | 1070 | 1324 |
| Chess Puzzles | 0% | — |
| LiveBench Reasoning | — | 50.1% |
| DTBench | — | 52.5% |
| LiveBench Data Analysis | — | 65.5% |
| Epoch Capabilities Index | 110.54 | — |
| ForecastBench | — | 57.1 |
| LiveBench | — | 54.3% |

## Math

- DeepSeek LLM 67B: 8.1 (#318)
- Gemini 2.0 Flash-Lite: 31.8 (#192)

| Benchmark | DeepSeek LLM 67B | Gemini 2.0 Flash-Lite |
|---|---|---|
| LMArena Math | 1108 | 1309 |
| OTIS Mock AIME 2024-2025 | 0.8% | — |
| Omni-MATH | — | 37.4% |
| LiveBench Math | — | 58.1% |
| MATH Level 5 | 6.4% | — |

## Knowledge

- DeepSeek LLM 67B: 7.1 (#308)
- Gemini 2.0 Flash-Lite: 34.6 (#185)

| Benchmark | DeepSeek LLM 67B | Gemini 2.0 Flash-Lite |
|---|---|---|
| GPQA Diamond | 24.6% | — |
| MMLU-Pro | — | 72% |
| GPQA (HELM) | — | 50% |
| LMArena Expert | — | 1305 |

## Multimodal

- DeepSeek LLM 67B: —
- Gemini 2.0 Flash-Lite: 30.6 (#103)

| Benchmark | DeepSeek LLM 67B | Gemini 2.0 Flash-Lite |
|---|---|---|
| LMArena Vision | — | 1100 |

## Multilingual

- DeepSeek LLM 67B: 29.5 (#262)
- Gemini 2.0 Flash-Lite: 46.2 (#156)

| Benchmark | DeepSeek LLM 67B | Gemini 2.0 Flash-Lite |
|---|---|---|
| LMArena Non-English | 1073 | 1323 |
| LMArena Chinese | 1132 | 1339 |
| LMArena French | — | 1346 |
| LMArena German | — | 1306 |
| LMArena Japanese | — | 1302 |
| LMArena Korean | — | 1325 |
| LMArena Russian | — | 1328 |
| LMArena Spanish | — | 1313 |

## Instruction Following

- DeepSeek LLM 67B: 55.7 (#272)
- Gemini 2.0 Flash-Lite: 70.6 (#158)

| Benchmark | DeepSeek LLM 67B | Gemini 2.0 Flash-Lite |
|---|---|---|
| LMArena Instruction Following | 1079 | 1305 |
| LiveBench Instruction Following | — | 78.3% |
| IFEval | — | 82.4% |

## Long Context

- DeepSeek LLM 67B: 33.1 (#260)
- Gemini 2.0 Flash-Lite: 40.1 (#155)

| Benchmark | DeepSeek LLM 67B | Gemini 2.0 Flash-Lite |
|---|---|---|
| LMArena Longer Query | 1092 | 1321 |

## Writing & Preference

- DeepSeek LLM 67B: 31.8 (#277)
- Gemini 2.0 Flash-Lite: 51.9 (#172)

| Benchmark | DeepSeek LLM 67B | Gemini 2.0 Flash-Lite |
|---|---|---|
| LMArena Text | 1105 | 1330 |
| LMArena Creative Writing | 1067 | 1319 |
| LMArena Multi-Turn | 1082 | 1307 |
| WildBench | — | 79% |
| LiveBench Language | — | 34.3% |

## FAQ

### Is DeepSeek LLM 67B better than Gemini 2.0 Flash-Lite?

Gemini 2.0 Flash-Lite is the stronger model overall, scoring 37.3 to 24.8 on the Noometry Index.

### Is DeepSeek LLM 67B or Gemini 2.0 Flash-Lite better for coding?

Gemini 2.0 Flash-Lite scores higher on coding benchmarks: 37.4 versus 31.3 in the Noometry coding category.

### How many benchmarks do DeepSeek LLM 67B and Gemini 2.0 Flash-Lite share?

10 benchmarks have published results for both models. DeepSeek LLM 67B has 15 scored results on Noometry and Gemini 2.0 Flash-Lite has 32.