# Gemini 3.7 Flash vs Gemma 3 27B

> Gemini 3.7 Flash is the stronger model overall, scoring 59.8 to 30.8 on the Noometry Index. Gemma 3 27B costs 15× less per token, which makes it the better buy when Gemini 3.7 Flash's lead doesn't matter for your workload.

- Canonical page: https://noometry.com/compare/gemini-3-7-flash-vs-gemma-3-27b
- Last updated: 2026-10-12
- Shared benchmarks: 27

## Summary

- They share 27 benchmarks with published results for both. Gemini 3.7 Flash scores higher in 10 categories and Gemma 3 27B in 0 categories; 10 gaps are clear of the uncertainty.
- The widest gap is in reasoning, where Gemini 3.7 Flash leads 70.0 to 16.7.
- The biggest single-benchmark swing is OTIS Mock AIME 2024-2025: 97.2% for Gemini 3.7 Flash and 22.5% for Gemma 3 27B.
- Gemma 3 27B is cheaper at $0.08 / $0.16 per million input/output tokens, against $0.75 / $3.75 for Gemini 3.7 Flash.
- Gemini 3.7 Flash accepts more context: 1.05M tokens versus 131K.
- Gemma 3 27B has downloadable open weights; the other is API-only.

## Snapshot

| | Gemini 3.7 Flash | Gemma 3 27B |
|---|---|---|
| Provider | Google | Google |
| Noometry Index | 59.8 | 30.8 |
| Rank | 14 | 284 |
| Context | 1.05M | 131K |
| Input $/M | $0.75 | $0.08 |
| Output $/M | $3.75 | $0.16 |
| Weights | Proprietary | Open |

## Coding

- Gemini 3.7 Flash: 56.2 (#22)
- Gemma 3 27B: 22.5 (#334)

| Benchmark | Gemini 3.7 Flash | Gemma 3 27B |
|---|---|---|
| SciCode | 59.8% | 21.2% |
| LMArena Coding | 1497 | 1322 |
| DeepSWE | 65.5% | — |
| FrontierCode | 43.6% | — |
| Aider Polyglot | — | 4.9% |
| LMArena WebDev | 1592 | — |
| FrontierSWE | 20.3% | — |
| LiveBench Coding | — | 39.9% |
| ALE-Bench | 904.3 | — |

## Agentic & Tool Use

- Gemini 3.7 Flash: 42.1 (#19)
- Gemma 3 27B: 25.1 (#110)

| Benchmark | Gemini 3.7 Flash | Gemma 3 27B |
|---|---|---|
| APEX-Agents | 67.8% | — |
| Berkeley Function Calling Leaderboard | — | 29.5% |
| Remote Labor Index | 5% | — |
| GDP.pdf | 23.8% | — |

## Reasoning

- Gemini 3.7 Flash: 70.0 (#15)
- Gemma 3 27B: 16.7 (#301)

| Benchmark | Gemini 3.7 Flash | Gemma 3 27B |
|---|---|---|
| CritPt | 14.3% | 0% |
| Chess Puzzles | 47% | 0% |
| LMArena Hard Prompts | 1494 | 1340 |
| DTBench | 96.8% | 52.5% |
| LMCA | 50.4% | 12.3% |
| Epoch Capabilities Index | 157.27 | 130.04 |
| ARC-AGI-2 | 84.6% | — |
| Kagi LLM Benchmark | — | 40.4% |
| NYT Connections (extended) | 94% | — |
| ARC-AGI-1 | 95.5% | — |
| LiveBench Reasoning | — | 43.8% |
| Mystery Game Puzzles | 37% | — |
| LiveBench Data Analysis | — | 51.5% |
| LiveBench | — | 50% |

## Math

- Gemini 3.7 Flash: 69.6 (#23)
- Gemma 3 27B: 25.9 (#265)

| Benchmark | Gemini 3.7 Flash | Gemma 3 27B |
|---|---|---|
| OTIS Mock AIME 2024-2025 | 97.2% | 22.5% |
| LMArena Math | 1507 | 1312 |
| FrontierMath (Tiers 1-3) | 71.6% | — |
| FrontierMath Tier 4 | 36.6% | — |
| ProofBench | 58% | — |
| LiveBench Math | — | 55.4% |
| MATH Level 5 | — | 74% |

## Knowledge

- Gemini 3.7 Flash: 69.7 (#5)
- Gemma 3 27B: 25.5 (#261)

| Benchmark | Gemini 3.7 Flash | Gemma 3 27B |
|---|---|---|
| GPQA Diamond | 94.8% | 47.7% |
| LMArena Expert | 1508 | 1304 |
| SimpleQA Verified | 69.2% | — |
| Confabulations | — | 40.3% |
| Vectara Hallucination Rate | — | 7.4% |

## Multimodal

- Gemini 3.7 Flash: 37.3 (#73)
- Gemma 3 27B: 32.6 (#100)

| Benchmark | Gemini 3.7 Flash | Gemma 3 27B |
|---|---|---|
| LMArena Vision | 1316 | 1164 |
| GeoBench | — | 52% |
| Furniture Assembly | 26.7% | — |

## Multilingual

- Gemini 3.7 Flash: 57.6 (#7)
- Gemma 3 27B: 46.9 (#155)

| Benchmark | Gemini 3.7 Flash | Gemma 3 27B |
|---|---|---|
| LMArena Non-English | 1484 | 1334 |
| LMArena Chinese | 1548 | 1346 |
| LMArena French | 1505 | 1368 |
| LMArena German | 1498 | 1362 |
| LMArena Japanese | 1512 | 1287 |
| LMArena Korean | 1483 | 1308 |
| LMArena Russian | 1516 | 1349 |
| LMArena Spanish | 1503 | 1349 |

## Instruction Following

- Gemini 3.7 Flash: 77.7 (#15)
- Gemma 3 27B: 70.6 (#160)

| Benchmark | Gemini 3.7 Flash | Gemma 3 27B |
|---|---|---|
| LMArena Instruction Following | 1483 | 1321 |
| LiveBench Instruction Following | — | 74.9% |

## Long Context

- Gemini 3.7 Flash: 45.7 (#30)
- Gemma 3 27B: 27.6 (#293)

| Benchmark | Gemini 3.7 Flash | Gemma 3 27B |
|---|---|---|
| LMArena Longer Query | 1492 | 1333 |
| Fiction.LiveBench | — | 33.3% |

## Writing & Preference

- Gemini 3.7 Flash: 71.2 (#20)
- Gemma 3 27B: 52.5 (#168)

| Benchmark | Gemini 3.7 Flash | Gemma 3 27B |
|---|---|---|
| LMArena Text | 1486 | 1358 |
| LMArena Creative Writing | 1490 | 1346 |
| EQ-Bench Creative Writing | 1723 | 1266 |
| LMArena Multi-Turn | 1489 | 1345 |
| Short-Story Creative Writing | — | 79.9% |
| LiveBench Language | — | 34.6% |

## FAQ

### Is Gemini 3.7 Flash better than Gemma 3 27B?

Gemini 3.7 Flash is the stronger model overall, scoring 59.8 to 30.8 on the Noometry Index. Gemma 3 27B costs 15× less per token, which makes it the better buy when Gemini 3.7 Flash's lead doesn't matter for your workload.

### Which is cheaper, Gemini 3.7 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 3.7 Flash lists at $0.75 and $3.75.

### Is Gemini 3.7 Flash or Gemma 3 27B better for coding?

Gemini 3.7 Flash scores higher on coding benchmarks: 56.2 versus 22.5 in the Noometry coding category.

### Which has the bigger context window?

Gemini 3.7 Flash does, with 1.05M tokens against 131K.

### How many benchmarks do Gemini 3.7 Flash and Gemma 3 27B share?

27 benchmarks have published results for both models. Gemini 3.7 Flash has 44 scored results on Noometry and Gemma 3 27B has 43.