# Deepseek Coder v2 vs Gemini 1.0 Pro

> Deepseek Coder v2 is the stronger model overall, scoring 35.3 to 27.1 on the Noometry Index.

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

## Summary

- They share 18 benchmarks with published results for both. Deepseek Coder v2 scores higher in 8 categories and Gemini 1.0 Pro in 0 categories; 8 gaps are clear of the uncertainty.
- The widest gap is in math, where Deepseek Coder v2 leads 32.3 to 8.7.
- Deepseek Coder v2 has downloadable open weights; the other is API-only.

## Snapshot

| | Deepseek Coder v2 | Gemini 1.0 Pro |
|---|---|---|
| Provider | DeepSeek | Google |
| Noometry Index | 35.3 | 27.1 |
| Rank | 217 | 327 |
| Context | — | — |
| Input $/M | — | — |
| Output $/M | — | — |
| Weights | Open | Proprietary |

## Coding

- Deepseek Coder v2: 37.5 (#178)
- Gemini 1.0 Pro: 31.6 (#270)

| Benchmark | Deepseek Coder v2 | Gemini 1.0 Pro |
|---|---|---|
| LMArena Coding | 1251 | 1108 |
| HumanEval+ | 82.3% | 55.5% |
| MBPP+ | 75.1% | 61.4% |
| BigCodeBench Instruct | 48.2% | — |
| BigCodeBench Complete | 59.7% | — |

## Reasoning

- Deepseek Coder v2: 22.6 (#175)
- Gemini 1.0 Pro: 16.4 (#292)

| Benchmark | Deepseek Coder v2 | Gemini 1.0 Pro |
|---|---|---|
| LMArena Hard Prompts | 1207 | 1109 |
| DTBench | — | 45.9% |
| Epoch Capabilities Index | — | 116.97 |
| WinoGrande | 83.7% | — |

## Math

- Deepseek Coder v2: 32.3 (#188)
- Gemini 1.0 Pro: 8.7 (#315)

| Benchmark | Deepseek Coder v2 | Gemini 1.0 Pro |
|---|---|---|
| LMArena Math | 1241 | 1132 |
| OTIS Mock AIME 2024-2025 | — | 1.1% |
| MATH Level 5 | — | 11.2% |
| GSM8K | 94.5% | — |

## Knowledge

- Deepseek Coder v2: 31.7 (#209)
- Gemini 1.0 Pro: 15.5 (#286)

| Benchmark | Deepseek Coder v2 | Gemini 1.0 Pro |
|---|---|---|
| LMArena Expert | 1181 | 1059 |
| GPQA Diamond | — | 34% |
| ARC (AI2) Challenge | 64.3% | — |
| MMLU | — | 70% |

## Multilingual

- Deepseek Coder v2: 36.4 (#235)
- Gemini 1.0 Pro: 33.5 (#247)

| Benchmark | Deepseek Coder v2 | Gemini 1.0 Pro |
|---|---|---|
| LMArena Non-English | 1182 | 1138 |
| LMArena Chinese | 1201 | 1124 |
| LMArena French | 1184 | 1144 |
| LMArena German | 1164 | 1125 |
| LMArena Japanese | 1126 | 1023 |
| LMArena Russian | 1188 | 1186 |
| LMArena Spanish | 1153 | 1118 |
| LMArena Korean | 1104 | — |

## Instruction Following

- Deepseek Coder v2: 61.9 (#237)
- Gemini 1.0 Pro: 57.9 (#262)

| Benchmark | Deepseek Coder v2 | Gemini 1.0 Pro |
|---|---|---|
| LMArena Instruction Following | 1180 | 1114 |

## Long Context

- Deepseek Coder v2: 37.0 (#219)
- Gemini 1.0 Pro: 34.3 (#244)

| Benchmark | Deepseek Coder v2 | Gemini 1.0 Pro |
|---|---|---|
| LMArena Longer Query | 1219 | 1132 |

## Writing & Preference

- Deepseek Coder v2: 38.4 (#249)
- Gemini 1.0 Pro: 36.2 (#259)

| Benchmark | Deepseek Coder v2 | Gemini 1.0 Pro |
|---|---|---|
| LMArena Text | 1191 | 1149 |
| LMArena Creative Writing | 1120 | 1130 |
| LMArena Multi-Turn | 1176 | 1139 |

## FAQ

### Is Deepseek Coder v2 better than Gemini 1.0 Pro?

Deepseek Coder v2 is the stronger model overall, scoring 35.3 to 27.1 on the Noometry Index.

### Is Deepseek Coder v2 or Gemini 1.0 Pro better for coding?

Deepseek Coder v2 scores higher on coding benchmarks: 37.5 versus 31.6 in the Noometry coding category.

### How many benchmarks do Deepseek Coder v2 and Gemini 1.0 Pro share?

18 benchmarks have published results for both models. Deepseek Coder v2 has 24 scored results on Noometry and Gemini 1.0 Pro has 24.