# Gemini 3.1 Pro Preview vs Gemma 2 27B

> Gemini 3.1 Pro Preview is the stronger model overall, scoring 56.7 to 29.2 on the Noometry Index. Gemma 2 27B costs 6.9× less per token, which makes it the better buy when Gemini 3.1 Pro Preview's lead doesn't matter for your workload.

- Canonical page: https://noometry.com/compare/gemini-3-1-pro-preview-vs-gemma-2-27b
- Last updated: 2026-10-10
- Shared benchmarks: 22

## Summary

- They share 22 benchmarks with published results for both. Gemini 3.1 Pro Preview scores higher in 8 categories and Gemma 2 27B in 0 categories; 8 gaps are clear of the uncertainty.
- The widest gap is in reasoning, where Gemini 3.1 Pro Preview leads 71.7 to 14.8.
- The biggest single-benchmark swing is OTIS Mock AIME 2024-2025: 95.6% for Gemini 3.1 Pro Preview and 1.4% for Gemma 2 27B.
- Gemma 2 27B is cheaper at $0.65 / $0.65 per million input/output tokens, against $2 / $12 for Gemini 3.1 Pro Preview.
- Gemini 3.1 Pro Preview accepts more context: 1.05M tokens versus 8K.
- Gemma 2 27B has downloadable open weights; the other is API-only.

## Snapshot

| | Gemini 3.1 Pro Preview | Gemma 2 27B |
|---|---|---|
| Provider | Google | Google |
| Noometry Index | 56.7 | 29.2 |
| Rank | 20 | 302 |
| Context | 1.05M | 8K |
| Input $/M | $2 | $0.65 |
| Output $/M | $12 | $0.65 |
| Weights | Proprietary | Open |

## Coding

- Gemini 3.1 Pro Preview: 42.7 (#88)
- Gemma 2 27B: 33.5 (#243)

| Benchmark | Gemini 3.1 Pro Preview | Gemma 2 27B |
|---|---|---|
| LMArena Coding | 1483 | 1211 |
| SWE-bench Verified | 75.6% | — |
| DeepSWE | 11.7% | — |
| LMArena WebDev | 1446 | — |
| SciCode | 58.9% | — |
| GSO | 22.6% | — |
| WeirdML | 72.1% | — |
| BigCodeBench Instruct | — | 42.8% |
| LiveBench Coding | — | 36% |
| MirrorCode | 8.9% | — |
| BigCodeBench Complete | — | 52.5% |
| ALE-Bench | 1,161 | — |
| AlgoTune | 2.02 | — |

## Agentic & Tool Use

- Gemini 3.1 Pro Preview: 37.7 (#33)
- Gemma 2 27B: —

| Benchmark | Gemini 3.1 Pro Preview | Gemma 2 27B |
|---|---|---|
| Terminal-Bench | 80.2% | — |
| APEX-Agents | 35.3% | — |
| τ²-bench Banking | 26% | — |
| DeepResearch Bench | 47.8% | — |
| PostTrainBench | 22% | — |
| BALROG | 57% | — |
| ExploitBench | 26.1% | — |
| GBAEval | 0.8% | — |
| GDP.pdf | 17% | — |
| LMArena Search | 1211 | — |
| METR Time Horizons | 77% | — |
| Vending-Bench 2 | 3,774 | — |

## Reasoning

- Gemini 3.1 Pro Preview: 71.7 (#9)
- Gemma 2 27B: 14.8 (#313)

| Benchmark | Gemini 3.1 Pro Preview | Gemma 2 27B |
|---|---|---|
| LMArena Hard Prompts | 1484 | 1199 |
| DTBench | 97.1% | 48% |
| LMCA | 53.8% | 7.1% |
| Epoch Capabilities Index | 154.92 | 122.06 |
| ARC-AGI-2 | 77.1% | — |
| SimpleBench | 79.6% | — |
| NYT Connections (extended) | 97.4% | — |
| ARC-AGI-1 | 98% | — |
| CritPt | 17.7% | — |
| Chess Puzzles | 55% | — |
| EnigmaEval | 36.8% | — |
| Thematic Generalization | 79.4% | — |
| EBR-Bench | 14.3% | — |
| LiveBench Reasoning | — | 28.1% |
| Mystery Game Puzzles | 34% | — |
| LiveBench Data Analysis | — | 47.9% |
| ForecastBench | 59 | — |
| LiveBench | — | 38.2% |

## Math

- Gemini 3.1 Pro Preview: 61.8 (#28)
- Gemma 2 27B: 10.0 (#306)

| Benchmark | Gemini 3.1 Pro Preview | Gemma 2 27B |
|---|---|---|
| OTIS Mock AIME 2024-2025 | 95.6% | 1.4% |
| LMArena Math | 1485 | 1212 |
| FrontierMath (Tiers 1-3) | 59.6% | — |
| FrontierMath Tier 4 | 26.8% | — |
| MathArena Final-Answer Competitions | 86.5% | — |
| ProofBench | 26% | — |
| LiveBench Math | — | 26.5% |
| MATH Level 5 | — | 27.9% |
| FrontierMath (Feb 2025 set) | 36.9% | — |
| FrontierMath Tier 4 (v1) | 16.7% | — |

## Knowledge

- Gemini 3.1 Pro Preview: 71.8 (#3)
- Gemma 2 27B: 18.9 (#275)

| Benchmark | Gemini 3.1 Pro Preview | Gemma 2 27B |
|---|---|---|
| GPQA Diamond | 94.4% | 36.5% |
| LMArena Expert | 1484 | 1172 |
| Humanity's Last Exam | 46.4% | — |
| SimpleQA Verified | 73.5% | — |
| Confabulations | — | 27.1% |
| Vectara Hallucination Rate | 10.4% | — |
| MMLU | — | 75.7% |

## Multimodal

- Gemini 3.1 Pro Preview: 38.1 (#60)
- Gemma 2 27B: —

| Benchmark | Gemini 3.1 Pro Preview | Gemma 2 27B |
|---|---|---|
| LMArena Vision | 1296 | — |
| Blueprint-Bench 2 | 26.5% | — |
| Furniture Assembly | 26.7% | — |
| LMArena Document | 1444 | — |

## Multilingual

- Gemini 3.1 Pro Preview: 57.1 (#11)
- Gemma 2 27B: 38.8 (#221)

| Benchmark | Gemini 3.1 Pro Preview | Gemma 2 27B |
|---|---|---|
| LMArena Non-English | 1475 | 1217 |
| LMArena Chinese | 1528 | 1221 |
| LMArena French | 1488 | 1246 |
| LMArena German | 1491 | 1209 |
| LMArena Japanese | 1494 | 1175 |
| LMArena Korean | 1458 | 1174 |
| LMArena Russian | 1496 | 1234 |
| LMArena Spanish | 1480 | 1228 |

## Instruction Following

- Gemini 3.1 Pro Preview: 77.1 (#31)
- Gemma 2 27B: 60.7 (#244)

| Benchmark | Gemini 3.1 Pro Preview | Gemma 2 27B |
|---|---|---|
| LMArena Instruction Following | 1465 | 1206 |
| LiveBench Instruction Following | — | 58.1% |

## Long Context

- Gemini 3.1 Pro Preview: 47.3 (#17)
- Gemma 2 27B: 37.3 (#213)

| Benchmark | Gemini 3.1 Pro Preview | Gemma 2 27B |
|---|---|---|
| LMArena Longer Query | 1482 | 1231 |
| CL-bench | 20.8% | — |
| CL-bench Life | 16.9% | — |

## Writing & Preference

- Gemini 3.1 Pro Preview: 66.3 (#36)
- Gemma 2 27B: 44.4 (#220)

| Benchmark | Gemini 3.1 Pro Preview | Gemma 2 27B |
|---|---|---|
| LMArena Text | 1480 | 1231 |
| LMArena Creative Writing | 1482 | 1241 |
| LMArena Multi-Turn | 1486 | 1224 |
| EQ-Bench Creative Writing | 1491 | — |
| EQ-Bench 4 | 1142 | — |
| LiveBench Language | — | 32.6% |

## FAQ

### Is Gemini 3.1 Pro Preview better than Gemma 2 27B?

Gemini 3.1 Pro Preview is the stronger model overall, scoring 56.7 to 29.2 on the Noometry Index. Gemma 2 27B costs 6.9× less per token, which makes it the better buy when Gemini 3.1 Pro Preview's lead doesn't matter for your workload.

### Which is cheaper, Gemini 3.1 Pro Preview 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 3.1 Pro Preview lists at $2 and $12.

### Is Gemini 3.1 Pro Preview or Gemma 2 27B better for coding?

Gemini 3.1 Pro Preview scores higher on coding benchmarks: 42.7 versus 33.5 in the Noometry coding category.

### Which has the bigger context window?

Gemini 3.1 Pro Preview does, with 1.05M tokens against 8K.

### How many benchmarks do Gemini 3.1 Pro Preview and Gemma 2 27B share?

22 benchmarks have published results for both models. Gemini 3.1 Pro Preview has 71 scored results on Noometry and Gemma 2 27B has 34.