# Gemini 2.0 Flash-Lite vs Gemma 7B

> Gemini 2.0 Flash-Lite is the stronger model overall, scoring 37.8 to 30.0 on the Noometry Index.

- Canonical page: https://noometry.com/compare/gemini-2-0-flash-lite-vs-gemma-7b
- Last updated: 2026-10-10
- Shared benchmarks: 13

## Summary

- They share 13 benchmarks with published results for both. Gemini 2.0 Flash-Lite scores higher in 8 categories and Gemma 7B in 0 categories; 8 gaps are clear of the uncertainty.
- The widest gap is in writing & preference, where Gemini 2.0 Flash-Lite leads 51.7 to 27.1.
- Gemma 7B has downloadable open weights; the other is API-only.

## Snapshot

| | Gemini 2.0 Flash-Lite | Gemma 7B |
|---|---|---|
| Provider | Google | Google |
| Noometry Index | 37.8 | 30.0 |
| Rank | 194 | 299 |
| Context | — | — |
| Input $/M | — | — |
| Output $/M | — | — |
| Weights | Proprietary | Open |

## Coding

- Gemini 2.0 Flash-Lite: 37.9 (#185)
- Gemma 7B: 30.5 (#294)

| Benchmark | Gemini 2.0 Flash-Lite | Gemma 7B |
|---|---|---|
| LMArena Coding | 1322 | 1048 |
| LiveBench Coding | 47.1% | — |
| HumanEval+ | — | 28.7% |
| MBPP+ | — | 43.4% |

## Reasoning

- Gemini 2.0 Flash-Lite: 22.0 (#210)
- Gemma 7B: 19.9 (#249)

| Benchmark | Gemini 2.0 Flash-Lite | Gemma 7B |
|---|---|---|
| LMArena Hard Prompts | 1324 | 1042 |
| LiveBench Reasoning | 50.1% | — |
| DTBench | 52.5% | — |
| LiveBench Data Analysis | 65.5% | — |
| Adversarial NLI | — | 48.7% |
| BIG-Bench Hard | — | 55.1% |
| Epoch Capabilities Index | — | 111.99 |
| ForecastBench | 57.1 | — |
| HellaSwag | — | 82.2% |
| LiveBench | 54.3% | — |
| PIQA | — | 81.2% |
| WinoGrande | — | 79% |

## Math

- Gemini 2.0 Flash-Lite: 34.1 (#196)
- Gemma 7B: 31.2 (#228)

| Benchmark | Gemini 2.0 Flash-Lite | Gemma 7B |
|---|---|---|
| LMArena Math | 1309 | 1066 |
| Omni-MATH | 37.4% | — |
| LiveBench Math | 58.1% | — |
| GSM8K | — | 46.4% |

## Knowledge

- Gemini 2.0 Flash-Lite: 35.0 (#189)
- Gemma 7B: 27.3 (#252)

| Benchmark | Gemini 2.0 Flash-Lite | Gemma 7B |
|---|---|---|
| LMArena Expert | 1305 | 1001 |
| MMLU-Pro | 72% | — |
| GPQA (HELM) | 50% | — |
| ARC (AI2) Challenge | — | 78.3% |
| BoolQ | — | 83.2% |
| MMLU | — | 66.1% |
| OpenBookQA | — | 78.6% |
| TriviaQA | — | 72.3% |

## Multimodal

- Gemini 2.0 Flash-Lite: 31.2 (#109)
- Gemma 7B: —

| Benchmark | Gemini 2.0 Flash-Lite | Gemma 7B |
|---|---|---|
| LMArena Vision | 1100 | — |

## Multilingual

- Gemini 2.0 Flash-Lite: 46.0 (#161)
- Gemma 7B: 25.1 (#287)

| Benchmark | Gemini 2.0 Flash-Lite | Gemma 7B |
|---|---|---|
| LMArena Non-English | 1323 | 999 |
| LMArena Chinese | 1339 | 1035 |
| LMArena French | 1347 | 1025 |
| LMArena Russian | 1328 | 993 |
| LMArena German | 1306 | — |
| LMArena Japanese | 1301 | — |
| LMArena Korean | 1325 | — |
| LMArena Spanish | 1313 | — |

## Instruction Following

- Gemini 2.0 Flash-Lite: 70.4 (#163)
- Gemma 7B: 51.5 (#295)

| Benchmark | Gemini 2.0 Flash-Lite | Gemma 7B |
|---|---|---|
| LMArena Instruction Following | 1305 | 1017 |
| LiveBench Instruction Following | 78.3% | — |
| IFEval | 82.4% | — |

## Long Context

- Gemini 2.0 Flash-Lite: 40.1 (#160)
- Gemma 7B: 31.1 (#282)

| Benchmark | Gemini 2.0 Flash-Lite | Gemma 7B |
|---|---|---|
| LMArena Longer Query | 1320 | 1022 |

## Writing & Preference

- Gemini 2.0 Flash-Lite: 51.7 (#177)
- Gemma 7B: 27.1 (#302)

| Benchmark | Gemini 2.0 Flash-Lite | Gemma 7B |
|---|---|---|
| LMArena Text | 1330 | 1056 |
| LMArena Creative Writing | 1319 | 1024 |
| LMArena Multi-Turn | 1307 | 963 |
| WildBench | 79% | — |
| LiveBench Language | 34.3% | — |

## FAQ

### Is Gemini 2.0 Flash-Lite better than Gemma 7B?

Gemini 2.0 Flash-Lite is the stronger model overall, scoring 37.8 to 30.0 on the Noometry Index.

### Is Gemini 2.0 Flash-Lite or Gemma 7B better for coding?

Gemini 2.0 Flash-Lite scores higher on coding benchmarks: 37.9 versus 30.5 in the Noometry coding category.

### How many benchmarks do Gemini 2.0 Flash-Lite and Gemma 7B share?

13 benchmarks have published results for both models. Gemini 2.0 Flash-Lite has 32 scored results on Noometry and Gemma 7B has 27.
