# Deepseek Coder v2 vs Gemma 4 31B IT

> Gemma 4 31B IT is the stronger model overall, scoring 43.5 to 35.9 on the Noometry Index.

- Canonical page: https://noometry.com/compare/deepseek-coder-v2-vs-gemma-4-31b-it
- Last updated: 2026-10-10
- Shared benchmarks: 14

## Summary

- They share 14 benchmarks with published results for both. Deepseek Coder v2 scores higher in 0 categories and Gemma 4 31B IT in 8 categories; 8 gaps are clear of the uncertainty.
- The widest gap is in writing & preference, where Gemma 4 31B IT leads 60.5 to 38.2.

## Snapshot

| | Deepseek Coder v2 | Gemma 4 31B IT |
|---|---|---|
| Provider | DeepSeek | Google |
| Noometry Index | 35.9 | 43.5 |
| Rank | 220 | 90 |
| Context | — | 262K |
| Input $/M | — | $0.09 |
| Output $/M | — | $0.34 |
| Weights | Open | Open |

## Coding

- Deepseek Coder v2: 38.1 (#183)
- Gemma 4 31B IT: 42.3 (#108)

| Benchmark | Deepseek Coder v2 | Gemma 4 31B IT |
|---|---|---|
| LMArena Coding | 1251 | 1459 |
| LMArena WebDev | — | 1366 |
| SciCode | — | 43.4% |
| WeirdML | — | 52.3% |
| BigCodeBench Instruct | 48.2% | — |
| BigCodeBench Complete | 59.7% | — |
| ALE-Bench | — | 925.5 |
| HumanEval+ | 82.3% | — |
| MBPP+ | 75.1% | — |

## Reasoning

- Deepseek Coder v2: 23.6 (#176)
- Gemma 4 31B IT: 27.2 (#122)

| Benchmark | Deepseek Coder v2 | Gemma 4 31B IT |
|---|---|---|
| LMArena Hard Prompts | 1207 | 1448 |
| Kagi LLM Benchmark | — | 63.5% |
| NYT Connections (extended) | — | 70.6% |
| CritPt | — | 1.4% |
| Chess Puzzles | — | 5% |
| Thematic Generalization | — | 53% |
| DTBench | — | 82.7% |
| LMCA | — | 39.3% |
| Surface Evolver Bench | — | 30.6% |
| Epoch Capabilities Index | — | 142.74 |
| WinoGrande | 83.7% | — |

## Math

- Deepseek Coder v2: 34.9 (#190)
- Gemma 4 31B IT: 43.2 (#81)

| Benchmark | Deepseek Coder v2 | Gemma 4 31B IT |
|---|---|---|
| LMArena Math | 1241 | 1465 |
| OTIS Mock AIME 2024-2025 | — | 73.3% |
| GSM8K | 94.5% | — |

## Knowledge

- Deepseek Coder v2: 32.3 (#212)
- Gemma 4 31B IT: 37.9 (#151)

| Benchmark | Deepseek Coder v2 | Gemma 4 31B IT |
|---|---|---|
| LMArena Expert | 1181 | 1465 |
| GPQA Diamond | — | 75.8% |
| SimpleQA Verified | — | 10.4% |
| Vectara Hallucination Rate | — | 7.4% |
| ARC (AI2) Challenge | 64.3% | — |

## Multimodal

- Deepseek Coder v2: —
- Gemma 4 31B IT: 41.6 (#34)

| Benchmark | Deepseek Coder v2 | Gemma 4 31B IT |
|---|---|---|
| LMArena Vision | — | 1277 |
| LMArena Document | — | 1425 |

## Multilingual

- Deepseek Coder v2: 36.3 (#240)
- Gemma 4 31B IT: 53.8 (#57)

| Benchmark | Deepseek Coder v2 | Gemma 4 31B IT |
|---|---|---|
| LMArena Non-English | 1182 | 1431 |
| LMArena Chinese | 1201 | 1476 |
| LMArena French | 1185 | 1435 |
| LMArena Russian | 1188 | 1460 |
| LMArena Spanish | 1153 | 1444 |
| LMArena German | 1164 | — |
| LMArena Japanese | 1126 | — |
| LMArena Korean | 1104 | — |

## Instruction Following

- Deepseek Coder v2: 61.7 (#242)
- Gemma 4 31B IT: 75.5 (#61)

| Benchmark | Deepseek Coder v2 | Gemma 4 31B IT |
|---|---|---|
| LMArena Instruction Following | 1180 | 1433 |

## Long Context

- Deepseek Coder v2: 37.0 (#224)
- Gemma 4 31B IT: 44.2 (#71)

| Benchmark | Deepseek Coder v2 | Gemma 4 31B IT |
|---|---|---|
| LMArena Longer Query | 1219 | 1446 |

## Writing & Preference

- Deepseek Coder v2: 38.2 (#253)
- Gemma 4 31B IT: 60.5 (#96)

| Benchmark | Deepseek Coder v2 | Gemma 4 31B IT |
|---|---|---|
| LMArena Text | 1191 | 1443 |
| LMArena Creative Writing | 1120 | 1415 |
| LMArena Multi-Turn | 1177 | 1452 |
| EQ-Bench Creative Writing | — | 1368 |
| EQ-Bench 4 | — | 1120 |

## FAQ

### Is Deepseek Coder v2 better than Gemma 4 31B IT?

Gemma 4 31B IT is the stronger model overall, scoring 43.5 to 35.9 on the Noometry Index.

### Is Deepseek Coder v2 or Gemma 4 31B IT better for coding?

Gemma 4 31B IT scores higher on coding benchmarks: 42.3 versus 38.1 in the Noometry coding category.

### How many benchmarks do Deepseek Coder v2 and Gemma 4 31B IT share?

14 benchmarks have published results for both models. Deepseek Coder v2 has 24 scored results on Noometry and Gemma 4 31B IT has 35.