# DeepSeek-V3.1 vs Gemini 2.0 Pro

> DeepSeek-V3.1 is the stronger model overall, scoring 42.8 to 39.1 on the Noometry Index.

- Canonical page: https://noometry.com/compare/deepseek-v3-1-vs-gemini-2-0-pro
- Last updated: 2026-10-10
- Shared benchmarks: 2

## Summary

- They share 2 benchmarks with published results for both. DeepSeek-V3.1 scores higher in 5 categories and Gemini 2.0 Pro in 2 categories; 6 gaps are clear of the uncertainty.
- The widest gap is in writing & preference, where DeepSeek-V3.1 leads 60.3 to 52.7.
- The biggest single-benchmark swing is Fiction.LiveBench: 52.8% for DeepSeek-V3.1 and 41.7% for Gemini 2.0 Pro.
- DeepSeek-V3.1 has downloadable open weights; the other is API-only.

## Snapshot

| | DeepSeek-V3.1 | Gemini 2.0 Pro |
|---|---|---|
| Provider | DeepSeek | Google |
| Noometry Index | 42.8 | 39.1 |
| Rank | 108 | 173 |
| Context | 164K | — |
| Input $/M | $0.25 | — |
| Output $/M | $0.95 | — |
| Weights | Open | Proprietary |

## Coding

- DeepSeek-V3.1: 40.3 (#144)
- Gemini 2.0 Pro: 37.8 (#187)

| Benchmark | DeepSeek-V3.1 | Gemini 2.0 Pro |
|---|---|---|
| Aider Polyglot | — | 35.6% |
| WeirdML | 38.4% | — |
| LiveBench Coding | — | 63.5% |
| LMArena Coding | 1417 | — |

## Reasoning

- DeepSeek-V3.1: 27.9 (#110)
- Gemini 2.0 Pro: 22.3 (#198)

| Benchmark | DeepSeek-V3.1 | Gemini 2.0 Pro |
|---|---|---|
| Epoch Capabilities Index | 139.92 | 135.06 |
| SimpleBench | 40% | — |
| Kagi LLM Benchmark | 53.2% | — |
| EnigmaEval | — | 0.7% |
| LiveBench Reasoning | — | 60.1% |
| LMArena Hard Prompts | 1417 | — |
| DTBench | 82.7% | — |
| LiveBench Data Analysis | — | 68% |
| LMCA | 24.3% | — |
| ForecastBench | 58 | — |
| LiveBench | — | 65.1% |

## Math

- DeepSeek-V3.1: 38.9 (#122)
- Gemini 2.0 Pro: 39.7 (#100)

| Benchmark | DeepSeek-V3.1 | Gemini 2.0 Pro |
|---|---|---|
| LiveBench Math | — | 71% |
| LMArena Math | 1420 | — |
| MATH Level 5 | — | 83.5% |

## Knowledge

- DeepSeek-V3.1: 43.7 (#90)
- Gemini 2.0 Pro: 36.5 (#167)

| Benchmark | DeepSeek-V3.1 | Gemini 2.0 Pro |
|---|---|---|
| GPQA Diamond | — | 65.7% |
| Confabulations | — | 18.4% |
| Vectara Hallucination Rate | 5.5% | — |
| LMArena Expert | 1405 | — |

## Multilingual

- DeepSeek-V3.1: 51.6 (#106)
- Gemini 2.0 Pro: —

| Benchmark | DeepSeek-V3.1 | Gemini 2.0 Pro |
|---|---|---|
| LMArena Non-English | 1400 | — |
| LMArena Chinese | 1469 | — |
| LMArena French | 1447 | — |
| LMArena German | 1411 | — |
| LMArena Japanese | 1378 | — |
| LMArena Korean | 1337 | — |
| LMArena Russian | 1405 | — |
| LMArena Spanish | 1431 | — |

## Instruction Following

- DeepSeek-V3.1: 73.9 (#110)
- Gemini 2.0 Pro: 75.5 (#59)

| Benchmark | DeepSeek-V3.1 | Gemini 2.0 Pro |
|---|---|---|
| LiveBench Instruction Following | — | 83.4% |
| LMArena Instruction Following | 1400 | — |

## Long Context

- DeepSeek-V3.1: 36.3 (#232)
- Gemini 2.0 Pro: 29.2 (#292)

| Benchmark | DeepSeek-V3.1 | Gemini 2.0 Pro |
|---|---|---|
| Fiction.LiveBench | 52.8% | 41.7% |
| LMArena Longer Query | 1422 | — |

## Writing & Preference

- DeepSeek-V3.1: 60.3 (#98)
- Gemini 2.0 Pro: 52.7 (#165)

| Benchmark | DeepSeek-V3.1 | Gemini 2.0 Pro |
|---|---|---|
| LMArena Text | 1420 | — |
| LMArena Creative Writing | 1401 | — |
| EQ-Bench Creative Writing | 1436 | — |
| LMArena Multi-Turn | 1408 | — |
| LiveBench Language | — | 44.9% |

## FAQ

### Is DeepSeek-V3.1 better than Gemini 2.0 Pro?

DeepSeek-V3.1 is the stronger model overall, scoring 42.8 to 39.1 on the Noometry Index.

### Is DeepSeek-V3.1 or Gemini 2.0 Pro better for coding?

DeepSeek-V3.1 scores higher on coding benchmarks: 40.3 versus 37.8 in the Noometry coding category.

### How many benchmarks do DeepSeek-V3.1 and Gemini 2.0 Pro share?

2 benchmarks have published results for both models. DeepSeek-V3.1 has 27 scored results on Noometry and Gemini 2.0 Pro has 14.