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

> DeepSeek-V2.5 (Sep 2024) is the stronger model overall, scoring 37.6 to 33.2 on the Noometry Index.

- Canonical page: https://noometry.com/compare/deepseek-v2-5-vs-gemini-1-5-flash
- Last updated: 2026-10-11
- Shared benchmarks: 21

## Summary

- They share 21 benchmarks with published results for both. DeepSeek-V2.5 (Sep 2024) scores higher in 6 categories and Gemini 1.5 Flash (May 2024) in 2 categories; 5 gaps are clear of the uncertainty.
- The widest gap is in math, where DeepSeek-V2.5 (Sep 2024) leads 35.9 to 22.1.
- The biggest single-benchmark swing is BigCodeBench Instruct: 48.6% for DeepSeek-V2.5 (Sep 2024) and 43.5% for Gemini 1.5 Flash (May 2024).
- DeepSeek-V2.5 (Sep 2024) has downloadable open weights; the other is API-only.

## Snapshot

| | DeepSeek-V2.5 (Sep 2024) | Gemini 1.5 Flash (May 2024) |
|---|---|---|
| Provider | DeepSeek | Google |
| Noometry Index | 37.6 | 33.2 |
| Rank | 200 | 246 |
| Context | — | — |
| Input $/M | — | — |
| Output $/M | — | — |
| Weights | Open | Proprietary |

## Coding

- DeepSeek-V2.5 (Sep 2024): 31.7 (#281)
- Gemini 1.5 Flash (May 2024): 34.4 (#236)

| Benchmark | DeepSeek-V2.5 (Sep 2024) | Gemini 1.5 Flash (May 2024) |
|---|---|---|
| BigCodeBench Instruct | 48.6% | 43.5% |
| LMArena Coding | 1309 | 1261 |
| BigCodeBench Complete | 53.2% | 55.1% |
| HumanEval+ | 83.5% | 75.6% |
| MBPP+ | 74.1% | 67.5% |
| Aider Polyglot | 17.8% | — |
| WeirdML | — | 24.9% |

## Agentic & Tool Use

- DeepSeek-V2.5 (Sep 2024): —
- Gemini 1.5 Flash (May 2024): 26.6 (#102)

| Benchmark | DeepSeek-V2.5 (Sep 2024) | Gemini 1.5 Flash (May 2024) |
|---|---|---|
| BALROG | — | 14.6% |

## Reasoning

- DeepSeek-V2.5 (Sep 2024): 25.6 (#145)
- Gemini 1.5 Flash (May 2024): 21.7 (#215)

| Benchmark | DeepSeek-V2.5 (Sep 2024) | Gemini 1.5 Flash (May 2024) |
|---|---|---|
| LMArena Hard Prompts | 1289 | 1257 |
| DTBench | — | 53.8% |
| Epoch Capabilities Index | — | 129.36 |
| ForecastBench | — | 53.9 |
| PIQA | — | 87.5% |

## Math

- DeepSeek-V2.5 (Sep 2024): 35.9 (#177)
- Gemini 1.5 Flash (May 2024): 22.1 (#281)

| Benchmark | DeepSeek-V2.5 (Sep 2024) | Gemini 1.5 Flash (May 2024) |
|---|---|---|
| LMArena Math | 1288 | 1269 |
| OTIS Mock AIME 2024-2025 | — | 16.3% |
| Omni-MATH | — | 30.4% |
| MATH Level 5 | — | 61.9% |
| FrontierMath (Feb 2025 set) | — | 0% |
| GSM8K | — | 82.4% |

## Knowledge

- DeepSeek-V2.5 (Sep 2024): 34.8 (#193)
- Gemini 1.5 Flash (May 2024): 26.2 (#260)

| Benchmark | DeepSeek-V2.5 (Sep 2024) | Gemini 1.5 Flash (May 2024) |
|---|---|---|
| LMArena Expert | 1266 | 1233 |
| GPQA Diamond | — | 47.3% |
| MMLU-Pro | — | 67.8% |
| GPQA (HELM) | — | 43.7% |
| BoolQ | — | 85.8% |
| MMLU | — | 77.9% |

## Multimodal

- DeepSeek-V2.5 (Sep 2024): —
- Gemini 1.5 Flash (May 2024): 36.0 (#81)

| Benchmark | DeepSeek-V2.5 (Sep 2024) | Gemini 1.5 Flash (May 2024) |
|---|---|---|
| LMArena Vision | — | 1141 |
| Video-MME | — | 70.3% |
| GeoBench | — | 76% |

## Multilingual

- DeepSeek-V2.5 (Sep 2024): 42.5 (#193)
- Gemini 1.5 Flash (May 2024): 42.9 (#189)

| Benchmark | DeepSeek-V2.5 (Sep 2024) | Gemini 1.5 Flash (May 2024) |
|---|---|---|
| LMArena Non-English | 1273 | 1278 |
| LMArena Chinese | 1318 | 1295 |
| LMArena French | 1289 | 1258 |
| LMArena German | 1258 | 1262 |
| LMArena Japanese | 1228 | 1252 |
| LMArena Korean | 1209 | 1221 |
| LMArena Russian | 1289 | 1288 |
| LMArena Spanish | 1248 | 1243 |

## Instruction Following

- DeepSeek-V2.5 (Sep 2024): 67.5 (#194)
- Gemini 1.5 Flash (May 2024): 66.8 (#205)

| Benchmark | DeepSeek-V2.5 (Sep 2024) | Gemini 1.5 Flash (May 2024) |
|---|---|---|
| LMArena Instruction Following | 1280 | 1258 |
| IFEval | — | 83.1% |

## Long Context

- DeepSeek-V2.5 (Sep 2024): 39.5 (#174)
- Gemini 1.5 Flash (May 2024): 39.0 (#187)

| Benchmark | DeepSeek-V2.5 (Sep 2024) | Gemini 1.5 Flash (May 2024) |
|---|---|---|
| LMArena Longer Query | 1301 | 1284 |

## Writing & Preference

- DeepSeek-V2.5 (Sep 2024): 49.8 (#187)
- Gemini 1.5 Flash (May 2024): 48.7 (#196)

| Benchmark | DeepSeek-V2.5 (Sep 2024) | Gemini 1.5 Flash (May 2024) |
|---|---|---|
| LMArena Text | 1294 | 1287 |
| LMArena Creative Writing | 1285 | 1285 |
| LMArena Multi-Turn | 1297 | 1253 |
| WildBench | — | 79.2% |

## FAQ

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

DeepSeek-V2.5 (Sep 2024) is the stronger model overall, scoring 37.6 to 33.2 on the Noometry Index.

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

Gemini 1.5 Flash (May 2024) scores higher on coding benchmarks: 34.4 versus 31.7 in the Noometry coding category.

### How many benchmarks do DeepSeek-V2.5 (Sep 2024) and Gemini 1.5 Flash (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 Flash (May 2024) has 42.