# Gemini 2.5 Flash-Lite vs Gemma 2 27B

> Gemini 2.5 Flash-Lite is the stronger model overall, scoring 36.4 to 29.2 on the Noometry Index.

- Canonical page: https://noometry.com/compare/gemini-2-5-flash-lite-vs-gemma-2-27b
- Last updated: 2026-10-10
- Shared benchmarks: 20

## Summary

- They share 20 benchmarks with published results for both. Gemini 2.5 Flash-Lite scores higher in 7 categories and Gemma 2 27B in 1 category; 8 gaps are clear of the uncertainty.
- The widest gap is in math, where Gemini 2.5 Flash-Lite leads 35.5 to 10.0.
- The biggest single-benchmark swing is DTBench: 62.8% for Gemini 2.5 Flash-Lite and 48% for Gemma 2 27B.
- Gemini 2.5 Flash-Lite is cheaper at $0.10 / $0.40 per million input/output tokens, against $0.65 / $0.65 for Gemma 2 27B.
- Gemini 2.5 Flash-Lite accepts more context: 1.05M tokens versus 8K.
- Gemma 2 27B has downloadable open weights; the other is API-only.

## Snapshot

| | Gemini 2.5 Flash-Lite | Gemma 2 27B |
|---|---|---|
| Provider | Google | Google |
| Noometry Index | 36.4 | 29.2 |
| Rank | 208 | 302 |
| Context | 1.05M | 8K |
| Input $/M | $0.10 | $0.65 |
| Output $/M | $0.40 | $0.65 |
| Weights | Proprietary | Open |

## Coding

- Gemini 2.5 Flash-Lite: 38.0 (#167)
- Gemma 2 27B: 33.5 (#243)

| Benchmark | Gemini 2.5 Flash-Lite | Gemma 2 27B |
|---|---|---|
| LMArena Coding | 1373 | 1211 |
| WeirdML | 35.2% | — |
| BigCodeBench Instruct | — | 42.8% |
| LiveBench Coding | — | 36% |
| BigCodeBench Complete | — | 52.5% |
| ALE-Bench | 325.9 | — |

## Agentic & Tool Use

- Gemini 2.5 Flash-Lite: 27.8 (#89)
- Gemma 2 27B: —

| Benchmark | Gemini 2.5 Flash-Lite | Gemma 2 27B |
|---|---|---|
| Berkeley Function Calling Leaderboard | 36.9% | — |

## Reasoning

- Gemini 2.5 Flash-Lite: 21.5 (#196)
- Gemma 2 27B: 14.8 (#313)

| Benchmark | Gemini 2.5 Flash-Lite | Gemma 2 27B |
|---|---|---|
| LMArena Hard Prompts | 1377 | 1199 |
| DTBench | 62.8% | 48% |
| LMCA | 18.1% | 7.1% |
| Epoch Capabilities Index | 133.93 | 122.06 |
| Kagi LLM Benchmark | 40.5% | — |
| LiveBench Reasoning | — | 28.1% |
| LiveBench Data Analysis | — | 47.9% |
| LiveBench | — | 38.2% |

## Math

- Gemini 2.5 Flash-Lite: 35.5 (#144)
- Gemma 2 27B: 10.0 (#306)

| Benchmark | Gemini 2.5 Flash-Lite | Gemma 2 27B |
|---|---|---|
| LMArena Math | 1373 | 1212 |
| OTIS Mock AIME 2024-2025 | — | 1.4% |
| Omni-MATH | 48% | — |
| LiveBench Math | — | 26.5% |
| MATH Level 5 | — | 27.9% |

## Knowledge

- Gemini 2.5 Flash-Lite: 32.1 (#206)
- Gemma 2 27B: 18.9 (#275)

| Benchmark | Gemini 2.5 Flash-Lite | Gemma 2 27B |
|---|---|---|
| LMArena Expert | 1373 | 1172 |
| GPQA Diamond | — | 36.5% |
| MMLU-Pro | 53.7% | — |
| Confabulations | — | 27.1% |
| Vectara Hallucination Rate | 3.3% | — |
| GPQA (HELM) | 30.9% | — |
| MMLU | — | 75.7% |

## Multimodal

- Gemini 2.5 Flash-Lite: 28.6 (#109)
- Gemma 2 27B: —

| Benchmark | Gemini 2.5 Flash-Lite | Gemma 2 27B |
|---|---|---|
| LMArena Vision | 1198 | — |
| VPCT | 30% | — |

## Multilingual

- Gemini 2.5 Flash-Lite: 49.5 (#129)
- Gemma 2 27B: 38.8 (#221)

| Benchmark | Gemini 2.5 Flash-Lite | Gemma 2 27B |
|---|---|---|
| LMArena Non-English | 1369 | 1217 |
| LMArena Chinese | 1404 | 1221 |
| LMArena French | 1388 | 1246 |
| LMArena German | 1390 | 1209 |
| LMArena Japanese | 1359 | 1175 |
| LMArena Korean | 1358 | 1174 |
| LMArena Russian | 1373 | 1234 |
| LMArena Spanish | 1396 | 1228 |

## Instruction Following

- Gemini 2.5 Flash-Lite: 70.2 (#163)
- Gemma 2 27B: 60.7 (#244)

| Benchmark | Gemini 2.5 Flash-Lite | Gemma 2 27B |
|---|---|---|
| LMArena Instruction Following | 1366 | 1206 |
| LiveBench Instruction Following | — | 58.1% |
| IFEval | 81% | — |

## Long Context

- Gemini 2.5 Flash-Lite: 33.3 (#257)
- Gemma 2 27B: 37.3 (#213)

| Benchmark | Gemini 2.5 Flash-Lite | Gemma 2 27B |
|---|---|---|
| LMArena Longer Query | 1373 | 1231 |
| Fiction.LiveBench | 47.2% | — |

## Writing & Preference

- Gemini 2.5 Flash-Lite: 57.0 (#130)
- Gemma 2 27B: 44.4 (#220)

| Benchmark | Gemini 2.5 Flash-Lite | Gemma 2 27B |
|---|---|---|
| LMArena Text | 1379 | 1231 |
| LMArena Creative Writing | 1366 | 1241 |
| LMArena Multi-Turn | 1367 | 1224 |
| WildBench | 81.8% | — |
| LiveBench Language | — | 32.6% |

## FAQ

### Is Gemini 2.5 Flash-Lite better than Gemma 2 27B?

Gemini 2.5 Flash-Lite is the stronger model overall, scoring 36.4 to 29.2 on the Noometry Index.

### Which is cheaper, Gemini 2.5 Flash-Lite or Gemma 2 27B?

Gemini 2.5 Flash-Lite is cheaper. It lists at $0.10 per million input tokens and $0.40 per million output tokens; Gemma 2 27B lists at $0.65 and $0.65.

### Is Gemini 2.5 Flash-Lite or Gemma 2 27B better for coding?

Gemini 2.5 Flash-Lite scores higher on coding benchmarks: 38.0 versus 33.5 in the Noometry coding category.

### Which has the bigger context window?

Gemini 2.5 Flash-Lite does, with 1.05M tokens against 8K.

### How many benchmarks do Gemini 2.5 Flash-Lite and Gemma 2 27B share?

20 benchmarks have published results for both models. Gemini 2.5 Flash-Lite has 33 scored results on Noometry and Gemma 2 27B has 34.