# Gemini 3.5 Flash vs Gemma 3 27B

> Gemini 3.5 Flash is the stronger model overall, scoring 54.1 to 30.5 on the Noometry Index. Gemma 3 27B costs 34× less per token, which makes it the better buy when Gemini 3.5 Flash's lead doesn't matter for your workload.

- Canonical page: https://noometry.com/compare/gemini-3-5-flash-vs-gemma-3-27b
- Last updated: 2026-10-10
- Shared benchmarks: 26

## Summary

- They share 26 benchmarks with published results for both. Gemini 3.5 Flash scores higher in 9 categories and Gemma 3 27B in 1 category; 9 gaps are clear of the uncertainty.
- The widest gap is in reasoning, where Gemini 3.5 Flash leads 62.7 to 16.3.
- The biggest single-benchmark swing is OTIS Mock AIME 2024-2025: 95.6% for Gemini 3.5 Flash and 22.5% for Gemma 3 27B.
- Gemma 3 27B is cheaper at $0.08 / $0.16 per million input/output tokens, against $1.50 / $9 for Gemini 3.5 Flash.
- Gemini 3.5 Flash accepts more context: 1.05M tokens versus 131K.
- Gemma 3 27B has downloadable open weights; the other is API-only.

## Snapshot

| | Gemini 3.5 Flash | Gemma 3 27B |
|---|---|---|
| Provider | Google | Google |
| Noometry Index | 54.1 | 30.5 |
| Rank | 29 | 277 |
| Context | 1.05M | 131K |
| Input $/M | $1.50 | $0.08 |
| Output $/M | $9 | $0.16 |
| Weights | Proprietary | Open |

## Coding

- Gemini 3.5 Flash: 49.1 (#46)
- Gemma 3 27B: 22.1 (#329)

| Benchmark | Gemini 3.5 Flash | Gemma 3 27B |
|---|---|---|
| SciCode | 53.1% | 21.2% |
| LMArena Coding | 1492 | 1322 |
| SWE-bench Verified | 79.3% | — |
| DeepSWE | 37.4% | — |
| Aider Polyglot | — | 4.9% |
| LMArena WebDev | 1499 | — |
| WeirdML | 62.6% | — |
| LiveBench Coding | — | 39.9% |
| ALE-Bench | 911.02 | — |

## Agentic & Tool Use

- Gemini 3.5 Flash: 24.8 (#107)
- Gemma 3 27B: 24.9 (#105)

| Benchmark | Gemini 3.5 Flash | Gemma 3 27B |
|---|---|---|
| APEX-Agents | 27.5% | — |
| Berkeley Function Calling Leaderboard | — | 29.5% |
| GBAEval | 6.7% | — |
| GDP.pdf | 14% | — |
| Vending-Bench 2 | 5,396 | — |

## Reasoning

- Gemini 3.5 Flash: 62.7 (#16)
- Gemma 3 27B: 16.3 (#297)

| Benchmark | Gemini 3.5 Flash | Gemma 3 27B |
|---|---|---|
| CritPt | 13.1% | 0% |
| Chess Puzzles | 50% | 0% |
| LMArena Hard Prompts | 1488 | 1340 |
| DTBench | 94.7% | 52.5% |
| LMCA | 47.1% | 12.3% |
| Epoch Capabilities Index | 154.55 | 130.04 |
| ARC-AGI-2 | 72.1% | — |
| SimpleBench | 76.7% | — |
| Kagi LLM Benchmark | — | 40.4% |
| NYT Connections (extended) | 92.6% | — |
| ARC-AGI-1 | 92.5% | — |
| EnigmaEval | 25.4% | — |
| EBR-Bench | 4.8% | — |
| LiveBench Reasoning | — | 43.8% |
| Mystery Game Puzzles | 32% | — |
| LiveBench Data Analysis | — | 51.5% |
| Surface Evolver Bench | 58.1% | — |
| ForecastBench | 59 | — |
| LiveBench | — | 50% |

## Math

- Gemini 3.5 Flash: 60.5 (#30)
- Gemma 3 27B: 24.4 (#261)

| Benchmark | Gemini 3.5 Flash | Gemma 3 27B |
|---|---|---|
| OTIS Mock AIME 2024-2025 | 95.6% | 22.5% |
| LMArena Math | 1502 | 1312 |
| FrontierMath (Tiers 1-3) | 62.8% | — |
| FrontierMath Tier 4 | 26.8% | — |
| MathArena Final-Answer Competitions | 76.3% | — |
| ProofBench | 31% | — |
| LiveBench Math | — | 55.4% |
| MATH Level 5 | — | 74% |
| FrontierMath (Feb 2025 set) | 39% | — |
| FrontierMath Tier 4 (v1) | 14.6% | — |

## Knowledge

- Gemini 3.5 Flash: 66.3 (#10)
- Gemma 3 27B: 25.4 (#256)

| Benchmark | Gemini 3.5 Flash | Gemma 3 27B |
|---|---|---|
| GPQA Diamond | 92.8% | 47.7% |
| LMArena Expert | 1493 | 1303 |
| SimpleQA Verified | 66.2% | — |
| Confabulations | — | 40.3% |
| Vectara Hallucination Rate | — | 7.4% |

## Multimodal

- Gemini 3.5 Flash: 45.7 (#13)
- Gemma 3 27B: 32.0 (#94)

| Benchmark | Gemini 3.5 Flash | Gemma 3 27B |
|---|---|---|
| LMArena Vision | 1311 | 1165 |
| GeoBench | — | 52% |
| Blueprint-Bench 2 | 33.6% | — |
| LMArena Document | 1463 | — |

## Multilingual

- Gemini 3.5 Flash: 57.1 (#12)
- Gemma 3 27B: 47.0 (#150)

| Benchmark | Gemini 3.5 Flash | Gemma 3 27B |
|---|---|---|
| LMArena Non-English | 1475 | 1334 |
| LMArena Chinese | 1525 | 1347 |
| LMArena French | 1490 | 1368 |
| LMArena German | 1500 | 1362 |
| LMArena Japanese | 1481 | 1287 |
| LMArena Korean | 1453 | 1308 |
| LMArena Russian | 1491 | 1349 |
| LMArena Spanish | 1478 | 1348 |

## Instruction Following

- Gemini 3.5 Flash: 77.2 (#29)
- Gemma 3 27B: 70.8 (#155)

| Benchmark | Gemini 3.5 Flash | Gemma 3 27B |
|---|---|---|
| LMArena Instruction Following | 1466 | 1321 |
| LiveBench Instruction Following | — | 74.9% |

## Long Context

- Gemini 3.5 Flash: 45.3 (#39)
- Gemma 3 27B: 27.6 (#288)

| Benchmark | Gemini 3.5 Flash | Gemma 3 27B |
|---|---|---|
| LMArena Longer Query | 1481 | 1333 |
| Fiction.LiveBench | — | 33.3% |

## Writing & Preference

- Gemini 3.5 Flash: 65.5 (#46)
- Gemma 3 27B: 52.7 (#161)

| Benchmark | Gemini 3.5 Flash | Gemma 3 27B |
|---|---|---|
| LMArena Text | 1481 | 1358 |
| LMArena Creative Writing | 1467 | 1346 |
| LMArena Multi-Turn | 1482 | 1344 |
| Short-Story Creative Writing | — | 79.9% |
| EQ-Bench Creative Writing | — | 1266 |
| EQ-Bench 4 | 1087 | — |
| LiveBench Language | — | 34.6% |

## FAQ

### Is Gemini 3.5 Flash better than Gemma 3 27B?

Gemini 3.5 Flash is the stronger model overall, scoring 54.1 to 30.5 on the Noometry Index. Gemma 3 27B costs 34× less per token, which makes it the better buy when Gemini 3.5 Flash's lead doesn't matter for your workload.

### Which is cheaper, Gemini 3.5 Flash or Gemma 3 27B?

Gemma 3 27B is cheaper. It lists at $0.08 per million input tokens and $0.16 per million output tokens; Gemini 3.5 Flash lists at $1.50 and $9.

### Is Gemini 3.5 Flash or Gemma 3 27B better for coding?

Gemini 3.5 Flash scores higher on coding benchmarks: 49.1 versus 22.1 in the Noometry coding category.

### Which has the bigger context window?

Gemini 3.5 Flash does, with 1.05M tokens against 131K.

### How many benchmarks do Gemini 3.5 Flash and Gemma 3 27B share?

26 benchmarks have published results for both models. Gemini 3.5 Flash has 54 scored results on Noometry and Gemma 3 27B has 43.
