# Gemini 3.7 Flash vs Gemma 2 27B

> Gemini 3.7 Flash is the stronger model overall, scoring 59.8 to 29.4 on the Noometry Index. Gemma 2 27B costs 2.3× 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-2-27b
- Last updated: 2026-10-10
- Shared benchmarks: 22

## Summary

- They share 22 benchmarks with published results for both. Gemini 3.7 Flash scores higher in 8 categories and Gemma 2 27B in 0 categories; 8 gaps are clear of the uncertainty.
- The widest gap is in math, where Gemini 3.7 Flash leads 69.6 to 10.7.
- The biggest single-benchmark swing is OTIS Mock AIME 2024-2025: 97.2% for Gemini 3.7 Flash and 1.4% for Gemma 2 27B.
- Gemma 2 27B is cheaper at $0.65 / $0.65 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 8K.
- Gemma 2 27B has downloadable open weights; the other is API-only.

## Snapshot

| | Gemini 3.7 Flash | Gemma 2 27B |
|---|---|---|
| Provider | Google | Google |
| Noometry Index | 59.8 | 29.4 |
| Rank | 14 | 312 |
| Context | 1.05M | 8K |
| Input $/M | $0.75 | $0.65 |
| Output $/M | $3.75 | $0.65 |
| Weights | Proprietary | Open |

## Coding

- Gemini 3.7 Flash: 56.2 (#22)
- Gemma 2 27B: 34.1 (#246)

| Benchmark | Gemini 3.7 Flash | Gemma 2 27B |
|---|---|---|
| LMArena Coding | 1497 | 1211 |
| DeepSWE | 65.5% | — |
| FrontierCode | 43.6% | — |
| LMArena WebDev | 1592 | — |
| FrontierSWE | 20.3% | — |
| SciCode | 59.8% | — |
| BigCodeBench Instruct | — | 42.8% |
| LiveBench Coding | — | 36% |
| BigCodeBench Complete | — | 52.5% |
| ALE-Bench | 904.3 | — |

## Agentic & Tool Use

- Gemini 3.7 Flash: 42.1 (#19)
- Gemma 2 27B: —

| Benchmark | Gemini 3.7 Flash | Gemma 2 27B |
|---|---|---|
| APEX-Agents | 67.8% | — |
| Remote Labor Index | 5% | — |
| GDP.pdf | 23.8% | — |

## Reasoning

- Gemini 3.7 Flash: 70.0 (#15)
- Gemma 2 27B: 15.3 (#315)

| Benchmark | Gemini 3.7 Flash | Gemma 2 27B |
|---|---|---|
| LMArena Hard Prompts | 1494 | 1198 |
| DTBench | 96.8% | 48% |
| LMCA | 50.4% | 7.1% |
| Epoch Capabilities Index | 157.27 | 122.08 |
| ARC-AGI-2 | 84.6% | — |
| NYT Connections (extended) | 94% | — |
| ARC-AGI-1 | 95.5% | — |
| CritPt | 14.3% | — |
| Chess Puzzles | 47% | — |
| LiveBench Reasoning | — | 28.1% |
| Mystery Game Puzzles | 37% | — |
| LiveBench Data Analysis | — | 47.9% |
| LiveBench | — | 38.2% |

## Math

- Gemini 3.7 Flash: 69.6 (#23)
- Gemma 2 27B: 10.7 (#311)

| Benchmark | Gemini 3.7 Flash | Gemma 2 27B |
|---|---|---|
| OTIS Mock AIME 2024-2025 | 97.2% | 1.4% |
| LMArena Math | 1507 | 1212 |
| FrontierMath (Tiers 1-3) | 71.6% | — |
| FrontierMath Tier 4 | 36.6% | — |
| ProofBench | 58% | — |
| LiveBench Math | — | 26.5% |
| MATH Level 5 | — | 27.9% |

## Knowledge

- Gemini 3.7 Flash: 69.7 (#5)
- Gemma 2 27B: 19.0 (#280)

| Benchmark | Gemini 3.7 Flash | Gemma 2 27B |
|---|---|---|
| GPQA Diamond | 94.8% | 36.5% |
| LMArena Expert | 1508 | 1172 |
| SimpleQA Verified | 69.2% | — |
| Confabulations | — | 27.1% |
| MMLU | — | 75.7% |

## Multimodal

- Gemini 3.7 Flash: 37.3 (#73)
- Gemma 2 27B: —

| Benchmark | Gemini 3.7 Flash | Gemma 2 27B |
|---|---|---|
| LMArena Vision | 1316 | — |
| Furniture Assembly | 26.7% | — |

## Multilingual

- Gemini 3.7 Flash: 57.6 (#7)
- Gemma 2 27B: 38.6 (#226)

| Benchmark | Gemini 3.7 Flash | Gemma 2 27B |
|---|---|---|
| LMArena Non-English | 1484 | 1217 |
| LMArena Chinese | 1548 | 1221 |
| LMArena French | 1505 | 1247 |
| LMArena German | 1498 | 1209 |
| LMArena Japanese | 1512 | 1175 |
| LMArena Korean | 1483 | 1174 |
| LMArena Russian | 1516 | 1234 |
| LMArena Spanish | 1503 | 1228 |

## Instruction Following

- Gemini 3.7 Flash: 77.7 (#15)
- Gemma 2 27B: 60.5 (#249)

| Benchmark | Gemini 3.7 Flash | Gemma 2 27B |
|---|---|---|
| LMArena Instruction Following | 1483 | 1206 |
| LiveBench Instruction Following | — | 58.1% |

## Long Context

- Gemini 3.7 Flash: 45.7 (#30)
- Gemma 2 27B: 37.3 (#218)

| Benchmark | Gemini 3.7 Flash | Gemma 2 27B |
|---|---|---|
| LMArena Longer Query | 1492 | 1231 |

## Writing & Preference

- Gemini 3.7 Flash: 71.2 (#20)
- Gemma 2 27B: 44.2 (#225)

| Benchmark | Gemini 3.7 Flash | Gemma 2 27B |
|---|---|---|
| LMArena Text | 1486 | 1231 |
| LMArena Creative Writing | 1490 | 1241 |
| LMArena Multi-Turn | 1489 | 1224 |
| EQ-Bench Creative Writing | 1723 | — |
| LiveBench Language | — | 32.6% |

## FAQ

### Is Gemini 3.7 Flash better than Gemma 2 27B?

Gemini 3.7 Flash is the stronger model overall, scoring 59.8 to 29.4 on the Noometry Index. Gemma 2 27B costs 2.3× 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 2 27B?

Gemma 2 27B is cheaper. It lists at $0.65 per million input tokens and $0.65 per million output tokens; Gemini 3.7 Flash lists at $0.75 and $3.75.

### Is Gemini 3.7 Flash or Gemma 2 27B better for coding?

Gemini 3.7 Flash scores higher on coding benchmarks: 56.2 versus 34.1 in the Noometry coding category.

### Which has the bigger context window?

Gemini 3.7 Flash does, with 1.05M tokens against 8K.

### How many benchmarks do Gemini 3.7 Flash and Gemma 2 27B share?

22 benchmarks have published results for both models. Gemini 3.7 Flash has 44 scored results on Noometry and Gemma 2 27B has 34.