# Gemini 2.5 Flash-Lite vs Gemma 3 4B

> Gemini 2.5 Flash-Lite is the stronger model overall, scoring 36.4 to 27.9 on the Noometry Index. Gemma 3 4B costs 3.5× less per token, which makes it the better buy when Gemini 2.5 Flash-Lite's lead doesn't matter for your workload.

- Canonical page: https://noometry.com/compare/gemini-2-5-flash-lite-vs-gemma-3-4b
- Last updated: 2026-10-10
- Shared benchmarks: 18

## Summary

- They share 18 benchmarks with published results for both. Gemini 2.5 Flash-Lite scores higher in 8 categories and Gemma 3 4B in 1 category; 9 gaps are clear of the uncertainty.
- The widest gap is in knowledge, where Gemini 2.5 Flash-Lite leads 32.1 to 11.8.
- The biggest single-benchmark swing is Berkeley Function Calling Leaderboard: 36.9% for Gemini 2.5 Flash-Lite and 19.6% for Gemma 3 4B.
- Gemma 3 4B is cheaper at $0.04 / $0.08 per million input/output tokens, against $0.10 / $0.40 for Gemini 2.5 Flash-Lite.
- Gemini 2.5 Flash-Lite accepts more context: 1.05M tokens versus 131K.
- Gemma 3 4B has downloadable open weights; the other is API-only.

## Snapshot

| | Gemini 2.5 Flash-Lite | Gemma 3 4B |
|---|---|---|
| Provider | Google | Google |
| Noometry Index | 36.4 | 27.9 |
| Rank | 208 | 320 |
| Context | 1.05M | 131K |
| Input $/M | $0.10 | $0.04 |
| Output $/M | $0.40 | $0.08 |
| Weights | Proprietary | Open |

## Coding

- Gemini 2.5 Flash-Lite: 38.0 (#167)
- Gemma 3 4B: 35.3 (#214)

| Benchmark | Gemini 2.5 Flash-Lite | Gemma 3 4B |
|---|---|---|
| LMArena Coding | 1373 | 1230 |
| WeirdML | 35.2% | — |
| ALE-Bench | 325.9 | — |

## Agentic & Tool Use

- Gemini 2.5 Flash-Lite: 27.8 (#89)
- Gemma 3 4B: 20.7 (#134)

| Benchmark | Gemini 2.5 Flash-Lite | Gemma 3 4B |
|---|---|---|
| Berkeley Function Calling Leaderboard | 36.9% | 19.6% |

## Reasoning

- Gemini 2.5 Flash-Lite: 21.5 (#196)
- Gemma 3 4B: 12.7 (#330)

| Benchmark | Gemini 2.5 Flash-Lite | Gemma 3 4B |
|---|---|---|
| Kagi LLM Benchmark | 40.5% | 25.2% |
| LMArena Hard Prompts | 1377 | 1253 |
| DTBench | 62.8% | 50.9% |
| LMCA | 18.1% | 2.8% |
| Epoch Capabilities Index | 133.93 | 116.02 |
| Chess Puzzles | — | 0% |

## Math

- Gemini 2.5 Flash-Lite: 35.5 (#144)
- Gemma 3 4B: 15.8 (#286)

| Benchmark | Gemini 2.5 Flash-Lite | Gemma 3 4B |
|---|---|---|
| LMArena Math | 1373 | 1239 |
| OTIS Mock AIME 2024-2025 | — | 7.5% |
| Omni-MATH | 48% | — |

## Knowledge

- Gemini 2.5 Flash-Lite: 32.1 (#206)
- Gemma 3 4B: 11.8 (#294)

| Benchmark | Gemini 2.5 Flash-Lite | Gemma 3 4B |
|---|---|---|
| Vectara Hallucination Rate | 3.3% | 6.4% |
| LMArena Expert | 1373 | 1223 |
| GPQA Diamond | — | 23.2% |
| MMLU-Pro | 53.7% | — |
| GPQA (HELM) | 30.9% | — |

## Multimodal

- Gemini 2.5 Flash-Lite: 28.6 (#109)
- Gemma 3 4B: —

| Benchmark | Gemini 2.5 Flash-Lite | Gemma 3 4B |
|---|---|---|
| LMArena Vision | 1198 | — |
| VPCT | 30% | — |

## Multilingual

- Gemini 2.5 Flash-Lite: 49.5 (#129)
- Gemma 3 4B: 42.7 (#189)

| Benchmark | Gemini 2.5 Flash-Lite | Gemma 3 4B |
|---|---|---|
| LMArena Non-English | 1369 | 1273 |
| LMArena German | 1390 | 1281 |
| LMArena Russian | 1373 | 1294 |
| LMArena Chinese | 1404 | — |
| LMArena French | 1388 | — |
| LMArena Japanese | 1359 | — |
| LMArena Korean | 1358 | — |
| LMArena Spanish | 1396 | — |

## Instruction Following

- Gemini 2.5 Flash-Lite: 70.2 (#163)
- Gemma 3 4B: 65.4 (#219)

| Benchmark | Gemini 2.5 Flash-Lite | Gemma 3 4B |
|---|---|---|
| LMArena Instruction Following | 1366 | 1239 |
| IFEval | 81% | — |

## Long Context

- Gemini 2.5 Flash-Lite: 33.3 (#257)
- Gemma 3 4B: 38.6 (#189)

| Benchmark | Gemini 2.5 Flash-Lite | Gemma 3 4B |
|---|---|---|
| LMArena Longer Query | 1373 | 1274 |
| Fiction.LiveBench | 47.2% | — |

## Writing & Preference

- Gemini 2.5 Flash-Lite: 57.0 (#130)
- Gemma 3 4B: 42.2 (#234)

| Benchmark | Gemini 2.5 Flash-Lite | Gemma 3 4B |
|---|---|---|
| LMArena Text | 1379 | 1291 |
| LMArena Creative Writing | 1366 | 1270 |
| LMArena Multi-Turn | 1367 | 1255 |
| EQ-Bench Creative Writing | — | 1068 |
| WildBench | 81.8% | — |

## FAQ

### Is Gemini 2.5 Flash-Lite better than Gemma 3 4B?

Gemini 2.5 Flash-Lite is the stronger model overall, scoring 36.4 to 27.9 on the Noometry Index. Gemma 3 4B costs 3.5× less per token, which makes it the better buy when Gemini 2.5 Flash-Lite's lead doesn't matter for your workload.

### Which is cheaper, Gemini 2.5 Flash-Lite or Gemma 3 4B?

Gemma 3 4B is cheaper. It lists at $0.04 per million input tokens and $0.08 per million output tokens; Gemini 2.5 Flash-Lite lists at $0.10 and $0.40.

### Is Gemini 2.5 Flash-Lite or Gemma 3 4B better for coding?

Gemini 2.5 Flash-Lite scores higher on coding benchmarks: 38.0 versus 35.3 in the Noometry coding category.

### Which has the bigger context window?

Gemini 2.5 Flash-Lite does, with 1.05M tokens against 131K.

### How many benchmarks do Gemini 2.5 Flash-Lite and Gemma 3 4B share?

18 benchmarks have published results for both models. Gemini 2.5 Flash-Lite has 33 scored results on Noometry and Gemma 3 4B has 22.