# DeepSeek-V2.5 (Sep 2024) vs Gemma 2 9B

> DeepSeek-V2.5 (Sep 2024) is the stronger model overall, scoring 37.0 to 25.7 on the Noometry Index.

- Canonical page: https://noometry.com/compare/deepseek-v2-5-vs-gemma-2-9b
- Last updated: 2026-10-10
- Shared benchmarks: 19

## Summary

- They share 19 benchmarks with published results for both. DeepSeek-V2.5 (Sep 2024) scores higher in 8 categories and Gemma 2 9B in 0 categories; 8 gaps are clear of the uncertainty.
- The widest gap is in knowledge, where DeepSeek-V2.5 (Sep 2024) leads 34.2 to 9.7.
- The biggest single-benchmark swing is BigCodeBench Instruct: 48.6% for DeepSeek-V2.5 (Sep 2024) and 34.7% for Gemma 2 9B.

## Snapshot

| | DeepSeek-V2.5 (Sep 2024) | Gemma 2 9B |
|---|---|---|
| Provider | DeepSeek | Google |
| Noometry Index | 37.0 | 25.7 |
| Rank | 197 | 334 |
| Context | — | — |
| Input $/M | — | — |
| Output $/M | — | — |
| Weights | Open | Open |

## Coding

- DeepSeek-V2.5 (Sep 2024): 31.3 (#274)
- Gemma 2 9B: 29.0 (#299)

| Benchmark | DeepSeek-V2.5 (Sep 2024) | Gemma 2 9B |
|---|---|---|
| BigCodeBench Instruct | 48.6% | 34.7% |
| LMArena Coding | 1310 | 1174 |
| BigCodeBench Complete | 53.2% | 40.6% |
| Aider Polyglot | 17.8% | — |
| LiveBench Coding | — | 22.5% |
| HumanEval+ | 83.5% | — |
| MBPP+ | 74.1% | — |

## Reasoning

- DeepSeek-V2.5 (Sep 2024): 24.5 (#145)
- Gemma 2 9B: 15.3 (#306)

| Benchmark | DeepSeek-V2.5 (Sep 2024) | Gemma 2 9B |
|---|---|---|
| LMArena Hard Prompts | 1289 | 1172 |
| LiveBench Reasoning | — | 15.2% |
| LiveBench Data Analysis | — | 36.4% |
| Epoch Capabilities Index | — | 119.78 |
| LiveBench | — | 28.7% |
| PIQA | — | 83.7% |

## Math

- DeepSeek-V2.5 (Sep 2024): 33.3 (#177)
- Gemma 2 9B: 9.3 (#312)

| Benchmark | DeepSeek-V2.5 (Sep 2024) | Gemma 2 9B |
|---|---|---|
| LMArena Math | 1289 | 1183 |
| OTIS Mock AIME 2024-2025 | — | 0.6% |
| LiveBench Math | — | 19.8% |
| MATH Level 5 | — | 21% |
| GSM8K | — | 84.9% |

## Knowledge

- DeepSeek-V2.5 (Sep 2024): 34.2 (#190)
- Gemma 2 9B: 9.7 (#300)

| Benchmark | DeepSeek-V2.5 (Sep 2024) | Gemma 2 9B |
|---|---|---|
| LMArena Expert | 1266 | 1147 |
| GPQA Diamond | — | 27.5% |
| BoolQ | — | 85.7% |
| MMLU | — | 72.1% |

## Multilingual

- DeepSeek-V2.5 (Sep 2024): 42.7 (#188)
- Gemma 2 9B: 36.8 (#233)

| Benchmark | DeepSeek-V2.5 (Sep 2024) | Gemma 2 9B |
|---|---|---|
| LMArena Non-English | 1273 | 1188 |
| LMArena Chinese | 1317 | 1185 |
| LMArena French | 1288 | 1189 |
| LMArena German | 1258 | 1186 |
| LMArena Japanese | 1228 | 1144 |
| LMArena Korean | 1209 | 1137 |
| LMArena Russian | 1289 | 1200 |
| LMArena Spanish | 1248 | 1200 |

## Instruction Following

- DeepSeek-V2.5 (Sep 2024): 67.7 (#189)
- Gemma 2 9B: 57.8 (#264)

| Benchmark | DeepSeek-V2.5 (Sep 2024) | Gemma 2 9B |
|---|---|---|
| LMArena Instruction Following | 1280 | 1178 |
| LiveBench Instruction Following | — | 52.6% |

## Long Context

- DeepSeek-V2.5 (Sep 2024): 39.5 (#169)
- Gemma 2 9B: 36.3 (#228)

| Benchmark | DeepSeek-V2.5 (Sep 2024) | Gemma 2 9B |
|---|---|---|
| LMArena Longer Query | 1301 | 1197 |

## Writing & Preference

- DeepSeek-V2.5 (Sep 2024): 50.0 (#182)
- Gemma 2 9B: 32.3 (#276)

| Benchmark | DeepSeek-V2.5 (Sep 2024) | Gemma 2 9B |
|---|---|---|
| LMArena Text | 1294 | 1207 |
| LMArena Creative Writing | 1285 | 1206 |
| LMArena Multi-Turn | 1297 | 1193 |
| EQ-Bench Creative Writing | — | 841 |
| LiveBench Language | — | 25.5% |

## FAQ

### Is DeepSeek-V2.5 (Sep 2024) better than Gemma 2 9B?

DeepSeek-V2.5 (Sep 2024) is the stronger model overall, scoring 37.0 to 25.7 on the Noometry Index.

### Is DeepSeek-V2.5 (Sep 2024) or Gemma 2 9B better for coding?

DeepSeek-V2.5 (Sep 2024) scores higher on coding benchmarks: 31.3 versus 29.0 in the Noometry coding category.

### How many benchmarks do DeepSeek-V2.5 (Sep 2024) and Gemma 2 9B share?

19 benchmarks have published results for both models. DeepSeek-V2.5 (Sep 2024) has 22 scored results on Noometry and Gemma 2 9B has 35.