# DeepSeek-V2.5 (Sep 2024) vs Gemini 1.0 Pro

> DeepSeek-V2.5 (Sep 2024) is the stronger model overall, scoring 37.0 to 27.1 on the Noometry Index.

- Canonical page: https://noometry.com/compare/deepseek-v2-5-vs-gemini-1-0-pro
- Last updated: 2026-10-10
- Shared benchmarks: 18

## Summary

- They share 18 benchmarks with published results for both. DeepSeek-V2.5 (Sep 2024) scores higher in 7 categories and Gemini 1.0 Pro in 1 category; 7 gaps are clear of the uncertainty.
- The widest gap is in math, where DeepSeek-V2.5 (Sep 2024) leads 33.3 to 8.7.
- DeepSeek-V2.5 (Sep 2024) has downloadable open weights; the other is API-only.

## Snapshot

| | DeepSeek-V2.5 (Sep 2024) | Gemini 1.0 Pro |
|---|---|---|
| Provider | DeepSeek | Google |
| Noometry Index | 37.0 | 27.1 |
| Rank | 197 | 327 |
| Context | — | — |
| Input $/M | — | — |
| Output $/M | — | — |
| Weights | Open | Proprietary |

## Coding

- DeepSeek-V2.5 (Sep 2024): 31.3 (#274)
- Gemini 1.0 Pro: 31.6 (#270)

| Benchmark | DeepSeek-V2.5 (Sep 2024) | Gemini 1.0 Pro |
|---|---|---|
| LMArena Coding | 1310 | 1108 |
| HumanEval+ | 83.5% | 55.5% |
| MBPP+ | 74.1% | 61.4% |
| Aider Polyglot | 17.8% | — |
| BigCodeBench Instruct | 48.6% | — |
| BigCodeBench Complete | 53.2% | — |

## Reasoning

- DeepSeek-V2.5 (Sep 2024): 24.5 (#145)
- Gemini 1.0 Pro: 16.4 (#292)

| Benchmark | DeepSeek-V2.5 (Sep 2024) | Gemini 1.0 Pro |
|---|---|---|
| LMArena Hard Prompts | 1289 | 1109 |
| DTBench | — | 45.9% |
| Epoch Capabilities Index | — | 116.97 |

## Math

- DeepSeek-V2.5 (Sep 2024): 33.3 (#177)
- Gemini 1.0 Pro: 8.7 (#315)

| Benchmark | DeepSeek-V2.5 (Sep 2024) | Gemini 1.0 Pro |
|---|---|---|
| LMArena Math | 1289 | 1132 |
| OTIS Mock AIME 2024-2025 | — | 1.1% |
| MATH Level 5 | — | 11.2% |

## Knowledge

- DeepSeek-V2.5 (Sep 2024): 34.2 (#190)
- Gemini 1.0 Pro: 15.5 (#286)

| Benchmark | DeepSeek-V2.5 (Sep 2024) | Gemini 1.0 Pro |
|---|---|---|
| LMArena Expert | 1266 | 1059 |
| GPQA Diamond | — | 34% |
| MMLU | — | 70% |

## Multilingual

- DeepSeek-V2.5 (Sep 2024): 42.7 (#188)
- Gemini 1.0 Pro: 33.5 (#247)

| Benchmark | DeepSeek-V2.5 (Sep 2024) | Gemini 1.0 Pro |
|---|---|---|
| LMArena Non-English | 1273 | 1138 |
| LMArena Chinese | 1317 | 1124 |
| LMArena French | 1288 | 1144 |
| LMArena German | 1258 | 1125 |
| LMArena Japanese | 1228 | 1023 |
| LMArena Russian | 1289 | 1186 |
| LMArena Spanish | 1248 | 1118 |
| LMArena Korean | 1209 | — |

## Instruction Following

- DeepSeek-V2.5 (Sep 2024): 67.7 (#189)
- Gemini 1.0 Pro: 57.9 (#262)

| Benchmark | DeepSeek-V2.5 (Sep 2024) | Gemini 1.0 Pro |
|---|---|---|
| LMArena Instruction Following | 1280 | 1114 |

## Long Context

- DeepSeek-V2.5 (Sep 2024): 39.5 (#169)
- Gemini 1.0 Pro: 34.3 (#244)

| Benchmark | DeepSeek-V2.5 (Sep 2024) | Gemini 1.0 Pro |
|---|---|---|
| LMArena Longer Query | 1301 | 1132 |

## Writing & Preference

- DeepSeek-V2.5 (Sep 2024): 50.0 (#182)
- Gemini 1.0 Pro: 36.2 (#259)

| Benchmark | DeepSeek-V2.5 (Sep 2024) | Gemini 1.0 Pro |
|---|---|---|
| LMArena Text | 1294 | 1149 |
| LMArena Creative Writing | 1285 | 1130 |
| LMArena Multi-Turn | 1297 | 1139 |

## FAQ

### Is DeepSeek-V2.5 (Sep 2024) better than Gemini 1.0 Pro?

DeepSeek-V2.5 (Sep 2024) is the stronger model overall, scoring 37.0 to 27.1 on the Noometry Index.

### Is DeepSeek-V2.5 (Sep 2024) or Gemini 1.0 Pro better for coding?

They score almost the same on coding (31.3 vs 31.6); test both on your own repository before choosing.

### How many benchmarks do DeepSeek-V2.5 (Sep 2024) and Gemini 1.0 Pro share?

18 benchmarks have published results for both models. DeepSeek-V2.5 (Sep 2024) has 22 scored results on Noometry and Gemini 1.0 Pro has 24.