# DeepSeek-V2.5 (Sep 2024) vs Gemini 2.5 Flash-Lite

> DeepSeek-V2.5 (Sep 2024) and Gemini 2.5 Flash-Lite score almost the same on the Noometry Index (37.0 vs 36.4), so choose on price, context window or the category you care about most.

- Canonical page: https://noometry.com/compare/deepseek-v2-5-vs-gemini-2-5-flash-lite
- Last updated: 2026-10-10
- Shared benchmarks: 17

## Summary

- They share 17 benchmarks with published results for both. DeepSeek-V2.5 (Sep 2024) scores higher in 3 categories and Gemini 2.5 Flash-Lite in 5 categories; 8 gaps are clear of the uncertainty.
- The widest gap is in writing & preference, where Gemini 2.5 Flash-Lite leads 57.0 to 50.0.
- DeepSeek-V2.5 (Sep 2024) has downloadable open weights; the other is API-only.

## Snapshot

| | DeepSeek-V2.5 (Sep 2024) | Gemini 2.5 Flash-Lite |
|---|---|---|
| Provider | DeepSeek | Google |
| Noometry Index | 37.0 | 36.4 |
| Rank | 197 | 208 |
| Context | — | 1.05M |
| Input $/M | — | $0.10 |
| Output $/M | — | $0.40 |
| Weights | Open | Proprietary |

## Coding

- DeepSeek-V2.5 (Sep 2024): 31.3 (#274)
- Gemini 2.5 Flash-Lite: 38.0 (#167)

| Benchmark | DeepSeek-V2.5 (Sep 2024) | Gemini 2.5 Flash-Lite |
|---|---|---|
| LMArena Coding | 1310 | 1373 |
| Aider Polyglot | 17.8% | — |
| WeirdML | — | 35.2% |
| BigCodeBench Instruct | 48.6% | — |
| BigCodeBench Complete | 53.2% | — |
| ALE-Bench | — | 325.9 |
| HumanEval+ | 83.5% | — |
| MBPP+ | 74.1% | — |

## Agentic & Tool Use

- DeepSeek-V2.5 (Sep 2024): —
- Gemini 2.5 Flash-Lite: 27.8 (#89)

| Benchmark | DeepSeek-V2.5 (Sep 2024) | Gemini 2.5 Flash-Lite |
|---|---|---|
| Berkeley Function Calling Leaderboard | — | 36.9% |

## Reasoning

- DeepSeek-V2.5 (Sep 2024): 24.5 (#145)
- Gemini 2.5 Flash-Lite: 21.5 (#196)

| Benchmark | DeepSeek-V2.5 (Sep 2024) | Gemini 2.5 Flash-Lite |
|---|---|---|
| LMArena Hard Prompts | 1289 | 1377 |
| Kagi LLM Benchmark | — | 40.5% |
| DTBench | — | 62.8% |
| LMCA | — | 18.1% |
| Epoch Capabilities Index | — | 133.93 |

## Math

- DeepSeek-V2.5 (Sep 2024): 33.3 (#177)
- Gemini 2.5 Flash-Lite: 35.5 (#144)

| Benchmark | DeepSeek-V2.5 (Sep 2024) | Gemini 2.5 Flash-Lite |
|---|---|---|
| LMArena Math | 1289 | 1373 |
| Omni-MATH | — | 48% |

## Knowledge

- DeepSeek-V2.5 (Sep 2024): 34.2 (#190)
- Gemini 2.5 Flash-Lite: 32.1 (#206)

| Benchmark | DeepSeek-V2.5 (Sep 2024) | Gemini 2.5 Flash-Lite |
|---|---|---|
| LMArena Expert | 1266 | 1373 |
| MMLU-Pro | — | 53.7% |
| Vectara Hallucination Rate | — | 3.3% |
| GPQA (HELM) | — | 30.9% |

## Multimodal

- DeepSeek-V2.5 (Sep 2024): —
- Gemini 2.5 Flash-Lite: 28.6 (#109)

| Benchmark | DeepSeek-V2.5 (Sep 2024) | Gemini 2.5 Flash-Lite |
|---|---|---|
| LMArena Vision | — | 1198 |
| VPCT | — | 30% |

## Multilingual

- DeepSeek-V2.5 (Sep 2024): 42.7 (#188)
- Gemini 2.5 Flash-Lite: 49.5 (#129)

| Benchmark | DeepSeek-V2.5 (Sep 2024) | Gemini 2.5 Flash-Lite |
|---|---|---|
| LMArena Non-English | 1273 | 1369 |
| LMArena Chinese | 1317 | 1404 |
| LMArena French | 1288 | 1388 |
| LMArena German | 1258 | 1390 |
| LMArena Japanese | 1228 | 1359 |
| LMArena Korean | 1209 | 1358 |
| LMArena Russian | 1289 | 1373 |
| LMArena Spanish | 1248 | 1396 |

## Instruction Following

- DeepSeek-V2.5 (Sep 2024): 67.7 (#189)
- Gemini 2.5 Flash-Lite: 70.2 (#163)

| Benchmark | DeepSeek-V2.5 (Sep 2024) | Gemini 2.5 Flash-Lite |
|---|---|---|
| LMArena Instruction Following | 1280 | 1366 |
| IFEval | — | 81% |

## Long Context

- DeepSeek-V2.5 (Sep 2024): 39.5 (#169)
- Gemini 2.5 Flash-Lite: 33.3 (#257)

| Benchmark | DeepSeek-V2.5 (Sep 2024) | Gemini 2.5 Flash-Lite |
|---|---|---|
| LMArena Longer Query | 1301 | 1373 |
| Fiction.LiveBench | — | 47.2% |

## Writing & Preference

- DeepSeek-V2.5 (Sep 2024): 50.0 (#182)
- Gemini 2.5 Flash-Lite: 57.0 (#130)

| Benchmark | DeepSeek-V2.5 (Sep 2024) | Gemini 2.5 Flash-Lite |
|---|---|---|
| LMArena Text | 1294 | 1379 |
| LMArena Creative Writing | 1285 | 1366 |
| LMArena Multi-Turn | 1297 | 1367 |
| WildBench | — | 81.8% |

## FAQ

### Is DeepSeek-V2.5 (Sep 2024) better than Gemini 2.5 Flash-Lite?

DeepSeek-V2.5 (Sep 2024) and Gemini 2.5 Flash-Lite score almost the same on the Noometry Index (37.0 vs 36.4), so choose on price, context window or the category you care about most.

### Is DeepSeek-V2.5 (Sep 2024) or Gemini 2.5 Flash-Lite better for coding?

Gemini 2.5 Flash-Lite scores higher on coding benchmarks: 38.0 versus 31.3 in the Noometry coding category.

### How many benchmarks do DeepSeek-V2.5 (Sep 2024) and Gemini 2.5 Flash-Lite share?

17 benchmarks have published results for both models. DeepSeek-V2.5 (Sep 2024) has 22 scored results on Noometry and Gemini 2.5 Flash-Lite has 33.