# Deepseek Coder v2 vs Gemini 2.5 Flash-Lite

> Gemini 2.5 Flash-Lite is the stronger model overall, scoring 37.0 to 35.9 on the Noometry Index.

- Canonical page: https://noometry.com/compare/deepseek-coder-v2-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 Coder v2 scores higher in 2 categories and Gemini 2.5 Flash-Lite in 6 categories; 6 gaps are clear of the uncertainty.
- The widest gap is in writing & preference, where Gemini 2.5 Flash-Lite leads 56.8 to 38.2.
- Deepseek Coder v2 has downloadable open weights; the other is API-only.

## Snapshot

| | Deepseek Coder v2 | Gemini 2.5 Flash-Lite |
|---|---|---|
| Provider | DeepSeek | Google |
| Noometry Index | 35.9 | 37.0 |
| Rank | 220 | 211 |
| Context | — | 1.05M |
| Input $/M | — | $0.10 |
| Output $/M | — | $0.40 |
| Weights | Open | Proprietary |

## Coding

- Deepseek Coder v2: 38.1 (#183)
- Gemini 2.5 Flash-Lite: 38.5 (#173)

| Benchmark | Deepseek Coder v2 | Gemini 2.5 Flash-Lite |
|---|---|---|
| LMArena Coding | 1251 | 1373 |
| WeirdML | — | 35.2% |
| BigCodeBench Instruct | 48.2% | — |
| BigCodeBench Complete | 59.7% | — |
| ALE-Bench | — | 325.9 |
| HumanEval+ | 82.3% | — |
| MBPP+ | 75.1% | — |

## Agentic & Tool Use

- Deepseek Coder v2: —
- Gemini 2.5 Flash-Lite: 28.0 (#96)

| Benchmark | Deepseek Coder v2 | Gemini 2.5 Flash-Lite |
|---|---|---|
| Berkeley Function Calling Leaderboard | — | 36.9% |

## Reasoning

- Deepseek Coder v2: 23.6 (#176)
- Gemini 2.5 Flash-Lite: 22.2 (#205)

| Benchmark | Deepseek Coder v2 | Gemini 2.5 Flash-Lite |
|---|---|---|
| LMArena Hard Prompts | 1207 | 1377 |
| Kagi LLM Benchmark | — | 40.5% |
| DTBench | — | 62.8% |
| LMCA | — | 18.1% |
| Epoch Capabilities Index | — | 133.94 |
| WinoGrande | 83.7% | — |

## Math

- Deepseek Coder v2: 34.9 (#190)
- Gemini 2.5 Flash-Lite: 38.0 (#144)

| Benchmark | Deepseek Coder v2 | Gemini 2.5 Flash-Lite |
|---|---|---|
| LMArena Math | 1241 | 1373 |
| Omni-MATH | — | 48% |
| GSM8K | 94.5% | — |

## Knowledge

- Deepseek Coder v2: 32.3 (#212)
- Gemini 2.5 Flash-Lite: 32.5 (#210)

| Benchmark | Deepseek Coder v2 | Gemini 2.5 Flash-Lite |
|---|---|---|
| LMArena Expert | 1181 | 1373 |
| MMLU-Pro | — | 53.7% |
| Vectara Hallucination Rate | — | 3.3% |
| GPQA (HELM) | — | 30.9% |
| ARC (AI2) Challenge | 64.3% | — |

## Multimodal

- Deepseek Coder v2: —
- Gemini 2.5 Flash-Lite: 29.1 (#114)

| Benchmark | Deepseek Coder v2 | Gemini 2.5 Flash-Lite |
|---|---|---|
| LMArena Vision | — | 1198 |
| VPCT | — | 30% |

## Multilingual

- Deepseek Coder v2: 36.3 (#240)
- Gemini 2.5 Flash-Lite: 49.3 (#134)

| Benchmark | Deepseek Coder v2 | Gemini 2.5 Flash-Lite |
|---|---|---|
| LMArena Non-English | 1182 | 1369 |
| LMArena Chinese | 1201 | 1404 |
| LMArena French | 1185 | 1388 |
| LMArena German | 1164 | 1389 |
| LMArena Japanese | 1126 | 1359 |
| LMArena Korean | 1104 | 1360 |
| LMArena Russian | 1188 | 1373 |
| LMArena Spanish | 1153 | 1396 |

## Instruction Following

- Deepseek Coder v2: 61.7 (#242)
- Gemini 2.5 Flash-Lite: 70.0 (#168)

| Benchmark | Deepseek Coder v2 | Gemini 2.5 Flash-Lite |
|---|---|---|
| LMArena Instruction Following | 1180 | 1367 |
| IFEval | — | 81% |

## Long Context

- Deepseek Coder v2: 37.0 (#224)
- Gemini 2.5 Flash-Lite: 33.3 (#262)

| Benchmark | Deepseek Coder v2 | Gemini 2.5 Flash-Lite |
|---|---|---|
| LMArena Longer Query | 1219 | 1373 |
| Fiction.LiveBench | — | 47.2% |

## Writing & Preference

- Deepseek Coder v2: 38.2 (#253)
- Gemini 2.5 Flash-Lite: 56.8 (#135)

| Benchmark | Deepseek Coder v2 | Gemini 2.5 Flash-Lite |
|---|---|---|
| LMArena Text | 1191 | 1379 |
| LMArena Creative Writing | 1120 | 1367 |
| LMArena Multi-Turn | 1177 | 1366 |
| WildBench | — | 81.8% |

## FAQ

### Is Deepseek Coder v2 better than Gemini 2.5 Flash-Lite?

Gemini 2.5 Flash-Lite is the stronger model overall, scoring 37.0 to 35.9 on the Noometry Index.

### Is Deepseek Coder v2 or Gemini 2.5 Flash-Lite better for coding?

They score almost the same on coding (38.1 vs 38.5); test both on your own repository before choosing.

### How many benchmarks do Deepseek Coder v2 and Gemini 2.5 Flash-Lite share?

17 benchmarks have published results for both models. Deepseek Coder v2 has 24 scored results on Noometry and Gemini 2.5 Flash-Lite has 33.