# Deepseek Coder v2 vs Gemini 3.1 Pro Preview

> Gemini 3.1 Pro Preview is the stronger model overall, scoring 56.7 to 35.9 on the Noometry Index.

- Canonical page: https://noometry.com/compare/deepseek-coder-v2-vs-gemini-3-1-pro-preview
- Last updated: 2026-10-11
- Shared benchmarks: 17

## Summary

- They share 17 benchmarks with published results for both. Deepseek Coder v2 scores higher in 0 categories and Gemini 3.1 Pro Preview in 8 categories; 8 gaps are clear of the uncertainty.
- The widest gap is in reasoning, where Gemini 3.1 Pro Preview leads 71.7 to 23.6.
- Deepseek Coder v2 has downloadable open weights; the other is API-only.

## Snapshot

| | Deepseek Coder v2 | Gemini 3.1 Pro Preview |
|---|---|---|
| Provider | DeepSeek | Google |
| Noometry Index | 35.9 | 56.7 |
| Rank | 220 | 23 |
| Context | — | 1.05M |
| Input $/M | — | $2 |
| Output $/M | — | $12 |
| Weights | Open | Proprietary |

## Coding

- Deepseek Coder v2: 38.1 (#183)
- Gemini 3.1 Pro Preview: 42.5 (#99)

| Benchmark | Deepseek Coder v2 | Gemini 3.1 Pro Preview |
|---|---|---|
| LMArena Coding | 1251 | 1484 |
| SWE-bench Verified | — | 75.6% |
| DeepSWE | — | 11.7% |
| LMArena WebDev | — | 1447 |
| SciCode | — | 58.9% |
| GSO | — | 22.6% |
| WeirdML | — | 72.1% |
| BigCodeBench Instruct | 48.2% | — |
| MirrorCode | — | 8.9% |
| BigCodeBench Complete | 59.7% | — |
| ALE-Bench | — | 1,161 |
| AlgoTune | — | 2.02 |
| HumanEval+ | 82.3% | — |
| MBPP+ | 75.1% | — |

## Agentic & Tool Use

- Deepseek Coder v2: —
- Gemini 3.1 Pro Preview: 37.7 (#34)

| Benchmark | Deepseek Coder v2 | Gemini 3.1 Pro Preview |
|---|---|---|
| Terminal-Bench | — | 80.2% |
| APEX-Agents | — | 35.3% |
| τ²-bench Banking | — | 26% |
| DeepResearch Bench | — | 47.8% |
| PostTrainBench | — | 22% |
| BALROG | — | 57% |
| ExploitBench | — | 26.1% |
| GBAEval | — | 0.8% |
| GDP.pdf | — | 17% |
| LMArena Search | — | 1211 |
| METR Time Horizons | — | 77% |
| Vending-Bench 2 | — | 3,774 |

## Reasoning

- Deepseek Coder v2: 23.6 (#176)
- Gemini 3.1 Pro Preview: 71.7 (#12)

| Benchmark | Deepseek Coder v2 | Gemini 3.1 Pro Preview |
|---|---|---|
| LMArena Hard Prompts | 1207 | 1485 |
| ARC-AGI-2 | — | 77.1% |
| SimpleBench | — | 79.6% |
| NYT Connections (extended) | — | 97.4% |
| ARC-AGI-1 | — | 98% |
| CritPt | — | 17.7% |
| Chess Puzzles | — | 55% |
| EnigmaEval | — | 36.8% |
| Thematic Generalization | — | 79.4% |
| EBR-Bench | — | 14.3% |
| Mystery Game Puzzles | — | 34% |
| DTBench | — | 97.1% |
| LMCA | — | 53.8% |
| Epoch Capabilities Index | — | 154.77 |
| ForecastBench | — | 59 |
| WinoGrande | 83.7% | — |

## Math

- Deepseek Coder v2: 34.9 (#190)
- Gemini 3.1 Pro Preview: 62.1 (#34)

| Benchmark | Deepseek Coder v2 | Gemini 3.1 Pro Preview |
|---|---|---|
| LMArena Math | 1241 | 1485 |
| FrontierMath (Tiers 1-3) | — | 59.6% |
| FrontierMath Tier 4 | — | 26.8% |
| MathArena Final-Answer Competitions | — | 86.5% |
| OTIS Mock AIME 2024-2025 | — | 95.6% |
| ProofBench | — | 26% |
| FrontierMath (Feb 2025 set) | — | 36.9% |
| FrontierMath Tier 4 (v1) | — | 16.7% |
| GSM8K | 94.5% | — |

## Knowledge

- Deepseek Coder v2: 32.3 (#212)
- Gemini 3.1 Pro Preview: 71.8 (#3)

| Benchmark | Deepseek Coder v2 | Gemini 3.1 Pro Preview |
|---|---|---|
| LMArena Expert | 1181 | 1485 |
| GPQA Diamond | — | 94.4% |
| Humanity's Last Exam | — | 46.4% |
| SimpleQA Verified | — | 73.5% |
| Vectara Hallucination Rate | — | 10.4% |
| ARC (AI2) Challenge | 64.3% | — |

## Multimodal

- Deepseek Coder v2: —
- Gemini 3.1 Pro Preview: 37.9 (#69)

| Benchmark | Deepseek Coder v2 | Gemini 3.1 Pro Preview |
|---|---|---|
| LMArena Vision | — | 1296 |
| Blueprint-Bench 2 | — | 26.5% |
| Furniture Assembly | — | 26.7% |
| LMArena Document | — | 1444 |

## Multilingual

- Deepseek Coder v2: 36.3 (#240)
- Gemini 3.1 Pro Preview: 57.0 (#12)

| Benchmark | Deepseek Coder v2 | Gemini 3.1 Pro Preview |
|---|---|---|
| LMArena Non-English | 1182 | 1477 |
| LMArena Chinese | 1201 | 1529 |
| LMArena French | 1185 | 1487 |
| LMArena German | 1164 | 1491 |
| LMArena Japanese | 1126 | 1493 |
| LMArena Korean | 1104 | 1455 |
| LMArena Russian | 1188 | 1498 |
| LMArena Spanish | 1153 | 1479 |

## Instruction Following

- Deepseek Coder v2: 61.7 (#242)
- Gemini 3.1 Pro Preview: 77.0 (#32)

| Benchmark | Deepseek Coder v2 | Gemini 3.1 Pro Preview |
|---|---|---|
| LMArena Instruction Following | 1180 | 1466 |

## Long Context

- Deepseek Coder v2: 37.0 (#224)
- Gemini 3.1 Pro Preview: 47.4 (#18)

| Benchmark | Deepseek Coder v2 | Gemini 3.1 Pro Preview |
|---|---|---|
| LMArena Longer Query | 1219 | 1483 |
| CL-bench | — | 20.8% |
| CL-bench Life | — | 16.9% |

## Writing & Preference

- Deepseek Coder v2: 38.2 (#253)
- Gemini 3.1 Pro Preview: 66.1 (#37)

| Benchmark | Deepseek Coder v2 | Gemini 3.1 Pro Preview |
|---|---|---|
| LMArena Text | 1191 | 1481 |
| LMArena Creative Writing | 1120 | 1482 |
| LMArena Multi-Turn | 1177 | 1488 |
| EQ-Bench Creative Writing | — | 1491 |
| EQ-Bench 4 | — | 1142 |

## FAQ

### Is Deepseek Coder v2 better than Gemini 3.1 Pro Preview?

Gemini 3.1 Pro Preview is the stronger model overall, scoring 56.7 to 35.9 on the Noometry Index.

### Is Deepseek Coder v2 or Gemini 3.1 Pro Preview better for coding?

Gemini 3.1 Pro Preview scores higher on coding benchmarks: 42.5 versus 38.1 in the Noometry coding category.

### How many benchmarks do Deepseek Coder v2 and Gemini 3.1 Pro Preview share?

17 benchmarks have published results for both models. Deepseek Coder v2 has 24 scored results on Noometry and Gemini 3.1 Pro Preview has 71.