# DeepSeek-V3.1 vs Gemma 2 27B

> DeepSeek-V3.1 is the stronger model overall, scoring 42.2 to 29.2 on the Noometry Index.

- Canonical page: https://noometry.com/compare/deepseek-v3-1-vs-gemma-2-27b
- Last updated: 2026-10-10
- Shared benchmarks: 20

## Summary

- They share 20 benchmarks with published results for both. DeepSeek-V3.1 scores higher in 7 categories and Gemma 2 27B in 1 category; 8 gaps are clear of the uncertainty.
- The widest gap is in math, where DeepSeek-V3.1 leads 36.1 to 10.0.
- The biggest single-benchmark swing is DTBench: 82.7% for DeepSeek-V3.1 and 48% for Gemma 2 27B.
- DeepSeek-V3.1 is cheaper at $0.25 / $0.95 per million input/output tokens, against $0.65 / $0.65 for Gemma 2 27B.
- DeepSeek-V3.1 accepts more context: 164K tokens versus 8K.

## Snapshot

| | DeepSeek-V3.1 | Gemma 2 27B |
|---|---|---|
| Provider | DeepSeek | Google |
| Noometry Index | 42.2 | 29.2 |
| Rank | 106 | 302 |
| Context | 164K | 8K |
| Input $/M | $0.25 | $0.65 |
| Output $/M | $0.95 | $0.65 |
| Weights | Open | Open |

## Coding

- DeepSeek-V3.1: 39.8 (#140)
- Gemma 2 27B: 33.5 (#243)

| Benchmark | DeepSeek-V3.1 | Gemma 2 27B |
|---|---|---|
| LMArena Coding | 1417 | 1211 |
| WeirdML | 38.4% | — |
| BigCodeBench Instruct | — | 42.8% |
| LiveBench Coding | — | 36% |
| BigCodeBench Complete | — | 52.5% |

## Reasoning

- DeepSeek-V3.1: 27.3 (#109)
- Gemma 2 27B: 14.8 (#313)

| Benchmark | DeepSeek-V3.1 | Gemma 2 27B |
|---|---|---|
| LMArena Hard Prompts | 1417 | 1199 |
| DTBench | 82.7% | 48% |
| LMCA | 24.3% | 7.1% |
| Epoch Capabilities Index | 139.92 | 122.06 |
| SimpleBench | 40% | — |
| Kagi LLM Benchmark | 53.2% | — |
| LiveBench Reasoning | — | 28.1% |
| LiveBench Data Analysis | — | 47.9% |
| ForecastBench | 58 | — |
| LiveBench | — | 38.2% |

## Math

- DeepSeek-V3.1: 36.1 (#125)
- Gemma 2 27B: 10.0 (#306)

| Benchmark | DeepSeek-V3.1 | Gemma 2 27B |
|---|---|---|
| LMArena Math | 1420 | 1212 |
| OTIS Mock AIME 2024-2025 | — | 1.4% |
| LiveBench Math | — | 26.5% |
| MATH Level 5 | — | 27.9% |

## Knowledge

- DeepSeek-V3.1: 43.0 (#86)
- Gemma 2 27B: 18.9 (#275)

| Benchmark | DeepSeek-V3.1 | Gemma 2 27B |
|---|---|---|
| LMArena Expert | 1403 | 1172 |
| GPQA Diamond | — | 36.5% |
| Confabulations | — | 27.1% |
| Vectara Hallucination Rate | 5.5% | — |
| MMLU | — | 75.7% |

## Multilingual

- DeepSeek-V3.1: 51.8 (#100)
- Gemma 2 27B: 38.8 (#221)

| Benchmark | DeepSeek-V3.1 | Gemma 2 27B |
|---|---|---|
| LMArena Non-English | 1400 | 1217 |
| LMArena Chinese | 1470 | 1221 |
| LMArena French | 1447 | 1246 |
| LMArena German | 1412 | 1209 |
| LMArena Japanese | 1374 | 1175 |
| LMArena Korean | 1337 | 1174 |
| LMArena Russian | 1405 | 1234 |
| LMArena Spanish | 1429 | 1228 |

## Instruction Following

- DeepSeek-V3.1: 74.1 (#105)
- Gemma 2 27B: 60.7 (#244)

| Benchmark | DeepSeek-V3.1 | Gemma 2 27B |
|---|---|---|
| LMArena Instruction Following | 1400 | 1206 |
| LiveBench Instruction Following | — | 58.1% |

## Long Context

- DeepSeek-V3.1: 36.3 (#227)
- Gemma 2 27B: 37.3 (#213)

| Benchmark | DeepSeek-V3.1 | Gemma 2 27B |
|---|---|---|
| LMArena Longer Query | 1422 | 1231 |
| Fiction.LiveBench | 52.8% | — |

## Writing & Preference

- DeepSeek-V3.1: 60.5 (#93)
- Gemma 2 27B: 44.4 (#220)

| Benchmark | DeepSeek-V3.1 | Gemma 2 27B |
|---|---|---|
| LMArena Text | 1420 | 1231 |
| LMArena Creative Writing | 1401 | 1241 |
| LMArena Multi-Turn | 1408 | 1224 |
| EQ-Bench Creative Writing | 1436 | — |
| LiveBench Language | — | 32.6% |

## FAQ

### Is DeepSeek-V3.1 better than Gemma 2 27B?

DeepSeek-V3.1 is the stronger model overall, scoring 42.2 to 29.2 on the Noometry Index.

### Which is cheaper, DeepSeek-V3.1 or Gemma 2 27B?

DeepSeek-V3.1 is cheaper. It lists at $0.25 per million input tokens and $0.95 per million output tokens; Gemma 2 27B lists at $0.65 and $0.65.

### Is DeepSeek-V3.1 or Gemma 2 27B better for coding?

DeepSeek-V3.1 scores higher on coding benchmarks: 39.8 versus 33.5 in the Noometry coding category.

### Which has the bigger context window?

DeepSeek-V3.1 does, with 164K tokens against 8K.

### How many benchmarks do DeepSeek-V3.1 and Gemma 2 27B share?

20 benchmarks have published results for both models. DeepSeek-V3.1 has 27 scored results on Noometry and Gemma 2 27B has 34.