# DeepSeek-V3.1 vs Gemini Advanced 0514

> DeepSeek-V3.1 is the stronger model overall, scoring 42.2 to 37.1 on the Noometry Index.

- Canonical page: https://noometry.com/compare/deepseek-v3-1-vs-gemini-advanced
- Last updated: 2026-10-10
- Shared benchmarks: 17

## Summary

- They share 17 benchmarks with published results for both. DeepSeek-V3.1 scores higher in 7 categories and Gemini Advanced 0514 in 1 category; 8 gaps are clear of the uncertainty.
- The widest gap is in writing & preference, where DeepSeek-V3.1 leads 60.5 to 48.8.
- DeepSeek-V3.1 has downloadable open weights; the other is API-only.

## Snapshot

| | DeepSeek-V3.1 | Gemini Advanced 0514 |
|---|---|---|
| Provider | DeepSeek | Google |
| Noometry Index | 42.2 | 37.1 |
| Rank | 106 | 195 |
| Context | 164K | — |
| Input $/M | $0.25 | — |
| Output $/M | $0.95 | — |
| Weights | Open | Proprietary |

## Coding

- DeepSeek-V3.1: 39.8 (#140)
- Gemini Advanced 0514: 36.0 (#202)

| Benchmark | DeepSeek-V3.1 | Gemini Advanced 0514 |
|---|---|---|
| LMArena Coding | 1417 | 1255 |
| WeirdML | 38.4% | — |

## Reasoning

- DeepSeek-V3.1: 27.3 (#109)
- Gemini Advanced 0514: 23.6 (#163)

| Benchmark | DeepSeek-V3.1 | Gemini Advanced 0514 |
|---|---|---|
| LMArena Hard Prompts | 1417 | 1248 |
| SimpleBench | 40% | — |
| Kagi LLM Benchmark | 53.2% | — |
| DTBench | 82.7% | — |
| LMCA | 24.3% | — |
| Epoch Capabilities Index | 139.92 | — |
| ForecastBench | 58 | — |

## Math

- DeepSeek-V3.1: 36.1 (#125)
- Gemini Advanced 0514: 32.9 (#181)

| Benchmark | DeepSeek-V3.1 | Gemini Advanced 0514 |
|---|---|---|
| LMArena Math | 1420 | 1272 |

## Knowledge

- DeepSeek-V3.1: 43.0 (#86)
- Gemini Advanced 0514: 32.7 (#201)

| Benchmark | DeepSeek-V3.1 | Gemini Advanced 0514 |
|---|---|---|
| LMArena Expert | 1403 | 1215 |
| Vectara Hallucination Rate | 5.5% | — |

## Multilingual

- DeepSeek-V3.1: 51.8 (#100)
- Gemini Advanced 0514: 42.8 (#187)

| Benchmark | DeepSeek-V3.1 | Gemini Advanced 0514 |
|---|---|---|
| LMArena Non-English | 1400 | 1274 |
| LMArena Chinese | 1470 | 1274 |
| LMArena French | 1447 | 1306 |
| LMArena German | 1412 | 1275 |
| LMArena Japanese | 1374 | 1242 |
| LMArena Korean | 1337 | 1232 |
| LMArena Russian | 1405 | 1283 |
| LMArena Spanish | 1429 | 1242 |

## Instruction Following

- DeepSeek-V3.1: 74.1 (#105)
- Gemini Advanced 0514: 66.2 (#206)

| Benchmark | DeepSeek-V3.1 | Gemini Advanced 0514 |
|---|---|---|
| LMArena Instruction Following | 1400 | 1254 |

## Long Context

- DeepSeek-V3.1: 36.3 (#227)
- Gemini Advanced 0514: 38.0 (#202)

| Benchmark | DeepSeek-V3.1 | Gemini Advanced 0514 |
|---|---|---|
| LMArena Longer Query | 1422 | 1254 |
| Fiction.LiveBench | 52.8% | — |

## Writing & Preference

- DeepSeek-V3.1: 60.5 (#93)
- Gemini Advanced 0514: 48.8 (#195)

| Benchmark | DeepSeek-V3.1 | Gemini Advanced 0514 |
|---|---|---|
| LMArena Text | 1420 | 1279 |
| LMArena Creative Writing | 1401 | 1284 |
| LMArena Multi-Turn | 1408 | 1269 |
| EQ-Bench Creative Writing | 1436 | — |

## FAQ

### Is DeepSeek-V3.1 better than Gemini Advanced 0514?

DeepSeek-V3.1 is the stronger model overall, scoring 42.2 to 37.1 on the Noometry Index.

### Is DeepSeek-V3.1 or Gemini Advanced 0514 better for coding?

DeepSeek-V3.1 scores higher on coding benchmarks: 39.8 versus 36.0 in the Noometry coding category.

### How many benchmarks do DeepSeek-V3.1 and Gemini Advanced 0514 share?

17 benchmarks have published results for both models. DeepSeek-V3.1 has 27 scored results on Noometry and Gemini Advanced 0514 has 17.