# Gemini 2.5 Flash-Lite vs Gemma 4 26B A4B IT

> Gemma 4 26B A4B IT is the stronger model overall, scoring 43.5 to 37.0 on the Noometry Index.

- Canonical page: https://noometry.com/compare/gemini-2-5-flash-lite-vs-gemma-4-26b-a4b-it
- Last updated: 2026-10-12
- Shared benchmarks: 21

## Summary

- They share 21 benchmarks with published results for both. Gemini 2.5 Flash-Lite scores higher in 1 category and Gemma 4 26B A4B IT in 8 categories; 7 gaps are clear of the uncertainty.
- The widest gap is in knowledge, where Gemma 4 26B A4B IT leads 45.7 to 32.5.
- The biggest single-benchmark swing is DTBench: 62.8% for Gemini 2.5 Flash-Lite and 74.9% for Gemma 4 26B A4B IT.
- Gemma 4 26B A4B IT is cheaper at $0.09 / $0.30 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 262K.
- Gemma 4 26B A4B IT has downloadable open weights; the other is API-only.

## Snapshot

| | Gemini 2.5 Flash-Lite | Gemma 4 26B A4B IT |
|---|---|---|
| Provider | Google | Google |
| Noometry Index | 37.0 | 43.5 |
| Rank | 211 | 92 |
| Context | 1.05M | 262K |
| Input $/M | $0.10 | $0.09 |
| Output $/M | $0.40 | $0.30 |
| Weights | Proprietary | Open |

## Coding

- Gemini 2.5 Flash-Lite: 38.5 (#173)
- Gemma 4 26B A4B IT: 39.0 (#164)

| Benchmark | Gemini 2.5 Flash-Lite | Gemma 4 26B A4B IT |
|---|---|---|
| WeirdML | 35.2% | 35.2% |
| LMArena Coding | 1373 | 1447 |
| ALE-Bench | 325.9 | 927.17 |
| LMArena WebDev | — | 1359 |
| SciCode | — | 40% |

## Agentic & Tool Use

- Gemini 2.5 Flash-Lite: 28.0 (#96)
- Gemma 4 26B A4B IT: —

| Benchmark | Gemini 2.5 Flash-Lite | Gemma 4 26B A4B IT |
|---|---|---|
| Berkeley Function Calling Leaderboard | 36.9% | — |

## Reasoning

- Gemini 2.5 Flash-Lite: 22.2 (#205)
- Gemma 4 26B A4B IT: 21.8 (#213)

| Benchmark | Gemini 2.5 Flash-Lite | Gemma 4 26B A4B IT |
|---|---|---|
| LMArena Hard Prompts | 1377 | 1439 |
| DTBench | 62.8% | 74.9% |
| LMCA | 18.1% | 29.7% |
| Epoch Capabilities Index | 133.94 | 141.85 |
| Kagi LLM Benchmark | 40.5% | — |
| CritPt | — | 0% |
| Chess Puzzles | — | 6% |

## Math

- Gemini 2.5 Flash-Lite: 38.0 (#144)
- Gemma 4 26B A4B IT: 47.6 (#67)

| Benchmark | Gemini 2.5 Flash-Lite | Gemma 4 26B A4B IT |
|---|---|---|
| LMArena Math | 1373 | 1470 |
| OTIS Mock AIME 2024-2025 | — | 82.2% |
| Omni-MATH | 48% | — |

## Knowledge

- Gemini 2.5 Flash-Lite: 32.5 (#210)
- Gemma 4 26B A4B IT: 45.7 (#85)

| Benchmark | Gemini 2.5 Flash-Lite | Gemma 4 26B A4B IT |
|---|---|---|
| Vectara Hallucination Rate | 3.3% | 5.2% |
| LMArena Expert | 1373 | 1447 |
| GPQA Diamond | — | 73.2% |
| MMLU-Pro | 53.7% | — |
| GPQA (HELM) | 30.9% | — |

## Multimodal

- Gemini 2.5 Flash-Lite: 29.1 (#114)
- Gemma 4 26B A4B IT: 40.6 (#46)

| Benchmark | Gemini 2.5 Flash-Lite | Gemma 4 26B A4B IT |
|---|---|---|
| LMArena Vision | 1198 | 1260 |
| VPCT | 30% | — |

## Multilingual

- Gemini 2.5 Flash-Lite: 49.3 (#134)
- Gemma 4 26B A4B IT: 53.1 (#71)

| Benchmark | Gemini 2.5 Flash-Lite | Gemma 4 26B A4B IT |
|---|---|---|
| LMArena Non-English | 1369 | 1421 |
| LMArena Chinese | 1404 | 1495 |
| LMArena French | 1388 | 1460 |
| LMArena Russian | 1373 | 1434 |
| LMArena Spanish | 1396 | 1417 |
| LMArena German | 1389 | — |
| LMArena Japanese | 1359 | — |
| LMArena Korean | 1360 | — |

## Instruction Following

- Gemini 2.5 Flash-Lite: 70.0 (#168)
- Gemma 4 26B A4B IT: 74.8 (#82)

| Benchmark | Gemini 2.5 Flash-Lite | Gemma 4 26B A4B IT |
|---|---|---|
| LMArena Instruction Following | 1367 | 1420 |
| IFEval | 81% | — |

## Long Context

- Gemini 2.5 Flash-Lite: 33.3 (#262)
- Gemma 4 26B A4B IT: 43.6 (#91)

| Benchmark | Gemini 2.5 Flash-Lite | Gemma 4 26B A4B IT |
|---|---|---|
| LMArena Longer Query | 1373 | 1428 |
| Fiction.LiveBench | 47.2% | — |

## Writing & Preference

- Gemini 2.5 Flash-Lite: 56.8 (#135)
- Gemma 4 26B A4B IT: 58.6 (#115)

| Benchmark | Gemini 2.5 Flash-Lite | Gemma 4 26B A4B IT |
|---|---|---|
| LMArena Text | 1379 | 1434 |
| LMArena Creative Writing | 1367 | 1402 |
| LMArena Multi-Turn | 1366 | 1441 |
| EQ-Bench Creative Writing | — | 1305 |
| WildBench | 81.8% | — |

## FAQ

### Is Gemini 2.5 Flash-Lite better than Gemma 4 26B A4B IT?

Gemma 4 26B A4B IT is the stronger model overall, scoring 43.5 to 37.0 on the Noometry Index.

### Which is cheaper, Gemini 2.5 Flash-Lite or Gemma 4 26B A4B IT?

Gemma 4 26B A4B IT is cheaper. It lists at $0.09 per million input tokens and $0.30 per million output tokens; Gemini 2.5 Flash-Lite lists at $0.10 and $0.40.

### Is Gemini 2.5 Flash-Lite or Gemma 4 26B A4B IT better for coding?

They score almost the same on coding (38.5 vs 39.0); test both on your own repository before choosing.

### Which has the bigger context window?

Gemini 2.5 Flash-Lite does, with 1.05M tokens against 262K.

### How many benchmarks do Gemini 2.5 Flash-Lite and Gemma 4 26B A4B IT share?

21 benchmarks have published results for both models. Gemini 2.5 Flash-Lite has 33 scored results on Noometry and Gemma 4 26B A4B IT has 28.