# DeepSeek-V2.5 (Sep 2024) vs Gemini 1.5 Pro (May 2024)

> DeepSeek-V2.5 (Sep 2024) is the stronger model overall, scoring 37.0 to 31.9 on the Noometry Index.

- Canonical page: https://noometry.com/compare/deepseek-v2-5-vs-gemini-1-5-pro
- Last updated: 2026-10-10
- Shared benchmarks: 21

## Summary

- They share 21 benchmarks with published results for both. DeepSeek-V2.5 (Sep 2024) scores higher in 3 categories and Gemini 1.5 Pro (May 2024) in 5 categories; 7 gaps are clear of the uncertainty.
- The widest gap is in reasoning, where DeepSeek-V2.5 (Sep 2024) leads 24.5 to 12.3.
- DeepSeek-V2.5 (Sep 2024) has downloadable open weights; the other is API-only.

## Snapshot

| | DeepSeek-V2.5 (Sep 2024) | Gemini 1.5 Pro (May 2024) |
|---|---|---|
| Provider | DeepSeek | Google |
| Noometry Index | 37.0 | 31.9 |
| Rank | 197 | 253 |
| Context | — | — |
| Input $/M | — | — |
| Output $/M | — | — |
| Weights | Open | Proprietary |

## Coding

- DeepSeek-V2.5 (Sep 2024): 31.3 (#274)
- Gemini 1.5 Pro (May 2024): 33.8 (#239)

| Benchmark | DeepSeek-V2.5 (Sep 2024) | Gemini 1.5 Pro (May 2024) |
|---|---|---|
| BigCodeBench Instruct | 48.6% | 43.8% |
| LMArena Coding | 1310 | 1294 |
| BigCodeBench Complete | 53.2% | 57.5% |
| HumanEval+ | 83.5% | 79.3% |
| MBPP+ | 74.1% | 74.6% |
| Aider Polyglot | 17.8% | — |
| WeirdML | — | 22.2% |
| CadEval | — | 34% |

## Agentic & Tool Use

- DeepSeek-V2.5 (Sep 2024): —
- Gemini 1.5 Pro (May 2024): 17.8 (#137)

| Benchmark | DeepSeek-V2.5 (Sep 2024) | Gemini 1.5 Pro (May 2024) |
|---|---|---|
| TheAgentCompany | — | 3.4% |
| Cybench | — | 7.5% |
| BALROG | — | 21% |

## Reasoning

- DeepSeek-V2.5 (Sep 2024): 24.5 (#145)
- Gemini 1.5 Pro (May 2024): 12.3 (#332)

| Benchmark | DeepSeek-V2.5 (Sep 2024) | Gemini 1.5 Pro (May 2024) |
|---|---|---|
| LMArena Hard Prompts | 1289 | 1296 |
| ARC-AGI-2 | — | 0.8% |
| SimpleBench | — | 27.1% |
| DTBench | — | 59% |
| BIG-Bench Hard | — | 89.2% |
| Epoch Capabilities Index | — | 131.73 |
| ForecastBench | — | 58.4 |

## Math

- DeepSeek-V2.5 (Sep 2024): 33.3 (#177)
- Gemini 1.5 Pro (May 2024): 24.4 (#260)

| Benchmark | DeepSeek-V2.5 (Sep 2024) | Gemini 1.5 Pro (May 2024) |
|---|---|---|
| LMArena Math | 1289 | 1315 |
| OTIS Mock AIME 2024-2025 | — | 23.1% |
| Omni-MATH | — | 36.4% |
| MATH Level 5 | — | 70.4% |

## Knowledge

- DeepSeek-V2.5 (Sep 2024): 34.2 (#190)
- Gemini 1.5 Pro (May 2024): 29.3 (#228)

| Benchmark | DeepSeek-V2.5 (Sep 2024) | Gemini 1.5 Pro (May 2024) |
|---|---|---|
| LMArena Expert | 1266 | 1279 |
| GPQA Diamond | — | 57.2% |
| Humanity's Last Exam | — | 4.6% |
| MMLU-Pro | — | 73.7% |
| Confabulations | — | 13.5% |
| GPQA (HELM) | — | 53.4% |
| MMLU | — | 86.9% |

## Multimodal

- DeepSeek-V2.5 (Sep 2024): —
- Gemini 1.5 Pro (May 2024): 36.2 (#72)

| Benchmark | DeepSeek-V2.5 (Sep 2024) | Gemini 1.5 Pro (May 2024) |
|---|---|---|
| LMArena Vision | — | 1161 |
| Video-MME | — | 75% |

## Multilingual

- DeepSeek-V2.5 (Sep 2024): 42.7 (#188)
- Gemini 1.5 Pro (May 2024): 45.5 (#169)

| Benchmark | DeepSeek-V2.5 (Sep 2024) | Gemini 1.5 Pro (May 2024) |
|---|---|---|
| LMArena Non-English | 1273 | 1312 |
| LMArena Chinese | 1317 | 1331 |
| LMArena French | 1288 | 1301 |
| LMArena German | 1258 | 1286 |
| LMArena Japanese | 1228 | 1292 |
| LMArena Korean | 1209 | 1298 |
| LMArena Russian | 1289 | 1320 |
| LMArena Spanish | 1248 | 1310 |

## Instruction Following

- DeepSeek-V2.5 (Sep 2024): 67.7 (#189)
- Gemini 1.5 Pro (May 2024): 68.8 (#180)

| Benchmark | DeepSeek-V2.5 (Sep 2024) | Gemini 1.5 Pro (May 2024) |
|---|---|---|
| LMArena Instruction Following | 1280 | 1297 |
| IFEval | — | 83.7% |

## Long Context

- DeepSeek-V2.5 (Sep 2024): 39.5 (#169)
- Gemini 1.5 Pro (May 2024): 39.7 (#164)

| Benchmark | DeepSeek-V2.5 (Sep 2024) | Gemini 1.5 Pro (May 2024) |
|---|---|---|
| LMArena Longer Query | 1301 | 1308 |

## Writing & Preference

- DeepSeek-V2.5 (Sep 2024): 50.0 (#182)
- Gemini 1.5 Pro (May 2024): 52.5 (#167)

| Benchmark | DeepSeek-V2.5 (Sep 2024) | Gemini 1.5 Pro (May 2024) |
|---|---|---|
| LMArena Text | 1294 | 1319 |
| LMArena Creative Writing | 1285 | 1333 |
| LMArena Multi-Turn | 1297 | 1296 |
| WildBench | — | 81.3% |

## FAQ

### Is DeepSeek-V2.5 (Sep 2024) better than Gemini 1.5 Pro (May 2024)?

DeepSeek-V2.5 (Sep 2024) is the stronger model overall, scoring 37.0 to 31.9 on the Noometry Index.

### Is DeepSeek-V2.5 (Sep 2024) or Gemini 1.5 Pro (May 2024) better for coding?

Gemini 1.5 Pro (May 2024) scores higher on coding benchmarks: 33.8 versus 31.3 in the Noometry coding category.

### How many benchmarks do DeepSeek-V2.5 (Sep 2024) and Gemini 1.5 Pro (May 2024) share?

21 benchmarks have published results for both models. DeepSeek-V2.5 (Sep 2024) has 22 scored results on Noometry and Gemini 1.5 Pro (May 2024) has 45.