# Deepseek Coder v2 vs GPT-5.2 Pro

> GPT-5.2 Pro is the stronger model overall, scoring 52.2 to 35.3 on the Noometry Index.

- Canonical page: https://noometry.com/compare/deepseek-coder-v2-vs-gpt-5-2-pro
- Last updated: 2026-10-10
- Shared benchmarks: 0

## Summary

- The widest gap is in math, where GPT-5.2 Pro leads 64.8 to 32.3.
- Deepseek Coder v2 has downloadable open weights; the other is API-only.

## Snapshot

| | Deepseek Coder v2 | GPT-5.2 Pro |
|---|---|---|
| Provider | DeepSeek | OpenAI |
| Noometry Index | 35.3 | 52.2 |
| Rank | 217 | 34 |
| Context | — | 400K |
| Input $/M | — | $21 |
| Output $/M | — | $168 |
| Weights | Open | Proprietary |

## Coding

- Deepseek Coder v2: 37.5 (#178)
- GPT-5.2 Pro: —

| Benchmark | Deepseek Coder v2 | GPT-5.2 Pro |
|---|---|---|
| BigCodeBench Instruct | 48.2% | — |
| LMArena Coding | 1251 | — |
| BigCodeBench Complete | 59.7% | — |
| HumanEval+ | 82.3% | — |
| MBPP+ | 75.1% | — |

## Reasoning

- Deepseek Coder v2: 22.6 (#175)
- GPT-5.2 Pro: 51.8 (#31)

| Benchmark | Deepseek Coder v2 | GPT-5.2 Pro |
|---|---|---|
| ARC-AGI-2 | — | 54.2% |
| SimpleBench | — | 57.4% |
| NYT Connections (extended) | — | 79.3% |
| ARC-AGI-1 | — | 90.5% |
| LMArena Hard Prompts | 1207 | — |
| Epoch Capabilities Index | — | 155.41 |
| WinoGrande | 83.7% | — |

## Math

- Deepseek Coder v2: 32.3 (#188)
- GPT-5.2 Pro: 64.8 (#23)

| Benchmark | Deepseek Coder v2 | GPT-5.2 Pro |
|---|---|---|
| FrontierMath (Tiers 1-3) | — | 74% |
| FrontierMath Tier 4 | — | 46% |
| LMArena Math | 1241 | — |
| FrontierMath Tier 4 (v1) | — | 31.3% |
| GSM8K | 94.5% | — |

## Knowledge

- Deepseek Coder v2: 31.7 (#209)
- GPT-5.2 Pro: —

| Benchmark | Deepseek Coder v2 | GPT-5.2 Pro |
|---|---|---|
| LMArena Expert | 1181 | — |
| ARC (AI2) Challenge | 64.3% | — |

## Multilingual

- Deepseek Coder v2: 36.4 (#235)
- GPT-5.2 Pro: —

| Benchmark | Deepseek Coder v2 | GPT-5.2 Pro |
|---|---|---|
| LMArena Non-English | 1182 | — |
| LMArena Chinese | 1201 | — |
| LMArena French | 1184 | — |
| LMArena German | 1164 | — |
| LMArena Japanese | 1126 | — |
| LMArena Korean | 1104 | — |
| LMArena Russian | 1188 | — |
| LMArena Spanish | 1153 | — |

## Instruction Following

- Deepseek Coder v2: 61.9 (#237)
- GPT-5.2 Pro: —

| Benchmark | Deepseek Coder v2 | GPT-5.2 Pro |
|---|---|---|
| LMArena Instruction Following | 1180 | — |

## Long Context

- Deepseek Coder v2: 37.0 (#219)
- GPT-5.2 Pro: —

| Benchmark | Deepseek Coder v2 | GPT-5.2 Pro |
|---|---|---|
| LMArena Longer Query | 1219 | — |

## Writing & Preference

- Deepseek Coder v2: 38.4 (#249)
- GPT-5.2 Pro: —

| Benchmark | Deepseek Coder v2 | GPT-5.2 Pro |
|---|---|---|
| LMArena Text | 1191 | — |
| LMArena Creative Writing | 1120 | — |
| LMArena Multi-Turn | 1176 | — |

## FAQ

### Is Deepseek Coder v2 better than GPT-5.2 Pro?

GPT-5.2 Pro is the stronger model overall, scoring 52.2 to 35.3 on the Noometry Index.

### How many benchmarks do Deepseek Coder v2 and GPT-5.2 Pro share?

0 benchmarks have published results for both models. Deepseek Coder v2 has 24 scored results on Noometry and GPT-5.2 Pro has 8.