# DeepSeek-V3.1 vs Gemma 1.1 2b IT

> DeepSeek-V3.1 is the stronger model overall, scoring 42.8 to 29.3 on the Noometry Index.

- Canonical page: https://noometry.com/compare/deepseek-v3-1-vs-gemma-1-1-2b-it
- Last updated: 2026-10-12
- Shared benchmarks: 14

## Summary

- They share 14 benchmarks with published results for both. DeepSeek-V3.1 scores higher in 8 categories and Gemma 1.1 2b IT in 0 categories; 8 gaps are clear of the uncertainty.
- The widest gap is in writing & preference, where DeepSeek-V3.1 leads 60.3 to 25.1.

## Snapshot

| | DeepSeek-V3.1 | Gemma 1.1 2b IT |
|---|---|---|
| Provider | DeepSeek | Google |
| Noometry Index | 42.8 | 29.3 |
| Rank | 108 | 313 |
| Context | 164K | — |
| Input $/M | $0.25 | — |
| Output $/M | $0.95 | — |
| Weights | Open | Open |

## Coding

- DeepSeek-V3.1: 40.3 (#144)
- Gemma 1.1 2b IT: 30.1 (#299)

| Benchmark | DeepSeek-V3.1 | Gemma 1.1 2b IT |
|---|---|---|
| LMArena Coding | 1417 | 1034 |
| WeirdML | 38.4% | — |
| HumanEval+ | — | 17.7% |
| MBPP+ | — | 23.3% |

## Reasoning

- DeepSeek-V3.1: 27.9 (#110)
- Gemma 1.1 2b IT: 19.1 (#270)

| Benchmark | DeepSeek-V3.1 | Gemma 1.1 2b IT |
|---|---|---|
| LMArena Hard Prompts | 1417 | 1005 |
| SimpleBench | 40% | — |
| Kagi LLM Benchmark | 53.2% | — |
| DTBench | 82.7% | — |
| LMCA | 24.3% | — |
| Epoch Capabilities Index | 139.92 | — |
| ForecastBench | 58 | — |

## Math

- DeepSeek-V3.1: 38.9 (#122)
- Gemma 1.1 2b IT: 30.8 (#232)

| Benchmark | DeepSeek-V3.1 | Gemma 1.1 2b IT |
|---|---|---|
| LMArena Math | 1420 | 1047 |

## Knowledge

- DeepSeek-V3.1: 43.7 (#90)
- Gemma 1.1 2b IT: 26.5 (#258)

| Benchmark | DeepSeek-V3.1 | Gemma 1.1 2b IT |
|---|---|---|
| LMArena Expert | 1405 | 970 |
| Vectara Hallucination Rate | 5.5% | — |

## Multilingual

- DeepSeek-V3.1: 51.6 (#106)
- Gemma 1.1 2b IT: 24.6 (#289)

| Benchmark | DeepSeek-V3.1 | Gemma 1.1 2b IT |
|---|---|---|
| LMArena Non-English | 1400 | 988 |
| LMArena Chinese | 1469 | 1012 |
| LMArena German | 1411 | 944 |
| LMArena Korean | 1337 | 899 |
| LMArena Russian | 1405 | 990 |
| LMArena French | 1447 | — |
| LMArena Japanese | 1378 | — |
| LMArena Spanish | 1431 | — |

## Instruction Following

- DeepSeek-V3.1: 73.9 (#110)
- Gemma 1.1 2b IT: 49.9 (#299)

| Benchmark | DeepSeek-V3.1 | Gemma 1.1 2b IT |
|---|---|---|
| LMArena Instruction Following | 1400 | 992 |

## Long Context

- DeepSeek-V3.1: 36.3 (#232)
- Gemma 1.1 2b IT: 30.6 (#286)

| Benchmark | DeepSeek-V3.1 | Gemma 1.1 2b IT |
|---|---|---|
| LMArena Longer Query | 1422 | 1003 |
| Fiction.LiveBench | 52.8% | — |

## Writing & Preference

- DeepSeek-V3.1: 60.3 (#98)
- Gemma 1.1 2b IT: 25.1 (#306)

| Benchmark | DeepSeek-V3.1 | Gemma 1.1 2b IT |
|---|---|---|
| LMArena Text | 1420 | 1022 |
| LMArena Creative Writing | 1401 | 998 |
| LMArena Multi-Turn | 1408 | 959 |
| EQ-Bench Creative Writing | 1436 | — |

## FAQ

### Is DeepSeek-V3.1 better than Gemma 1.1 2b IT?

DeepSeek-V3.1 is the stronger model overall, scoring 42.8 to 29.3 on the Noometry Index.

### Is DeepSeek-V3.1 or Gemma 1.1 2b IT better for coding?

DeepSeek-V3.1 scores higher on coding benchmarks: 40.3 versus 30.1 in the Noometry coding category.

### How many benchmarks do DeepSeek-V3.1 and Gemma 1.1 2b IT share?

14 benchmarks have published results for both models. DeepSeek-V3.1 has 27 scored results on Noometry and Gemma 1.1 2b IT has 16.