# DeepSeek LLM 67B vs GPT-5.2 Pro

> GPT-5.2 Pro is the stronger model overall, scoring 52.2 to 24.8 on the Noometry Index.

- Canonical page: https://noometry.com/compare/deepseek-llm-67b-vs-gpt-5-2-pro
- Last updated: 2026-10-10
- Shared benchmarks: 1

## Summary

- They share 1 benchmark with published results for both. DeepSeek LLM 67B scores higher in 0 categories and GPT-5.2 Pro in 2 categories; 2 gaps are clear of the uncertainty.
- The widest gap is in math, where GPT-5.2 Pro leads 64.8 to 8.1.
- DeepSeek LLM 67B has downloadable open weights; the other is API-only.

## Snapshot

| | DeepSeek LLM 67B | GPT-5.2 Pro |
|---|---|---|
| Provider | DeepSeek | OpenAI |
| Noometry Index | 24.8 | 52.2 |
| Rank | 341 | 34 |
| Context | — | 400K |
| Input $/M | — | $21 |
| Output $/M | — | $168 |
| Weights | Open | Proprietary |

## Coding

- DeepSeek LLM 67B: 31.3 (#273)
- GPT-5.2 Pro: —

| Benchmark | DeepSeek LLM 67B | GPT-5.2 Pro |
|---|---|---|
| LMArena Coding | 1096 | — |

## Reasoning

- DeepSeek LLM 67B: 15.9 (#300)
- GPT-5.2 Pro: 51.8 (#31)

| Benchmark | DeepSeek LLM 67B | GPT-5.2 Pro |
|---|---|---|
| Epoch Capabilities Index | 110.54 | 155.41 |
| ARC-AGI-2 | — | 54.2% |
| SimpleBench | — | 57.4% |
| NYT Connections (extended) | — | 79.3% |
| ARC-AGI-1 | — | 90.5% |
| Chess Puzzles | 0% | — |
| LMArena Hard Prompts | 1070 | — |

## Math

- DeepSeek LLM 67B: 8.1 (#318)
- GPT-5.2 Pro: 64.8 (#23)

| Benchmark | DeepSeek LLM 67B | GPT-5.2 Pro |
|---|---|---|
| FrontierMath (Tiers 1-3) | — | 74% |
| FrontierMath Tier 4 | — | 46% |
| OTIS Mock AIME 2024-2025 | 0.8% | — |
| LMArena Math | 1108 | — |
| MATH Level 5 | 6.4% | — |
| FrontierMath Tier 4 (v1) | — | 31.3% |

## Knowledge

- DeepSeek LLM 67B: 7.1 (#308)
- GPT-5.2 Pro: —

| Benchmark | DeepSeek LLM 67B | GPT-5.2 Pro |
|---|---|---|
| GPQA Diamond | 24.6% | — |

## Multilingual

- DeepSeek LLM 67B: 29.5 (#262)
- GPT-5.2 Pro: —

| Benchmark | DeepSeek LLM 67B | GPT-5.2 Pro |
|---|---|---|
| LMArena Non-English | 1073 | — |
| LMArena Chinese | 1132 | — |

## Instruction Following

- DeepSeek LLM 67B: 55.7 (#272)
- GPT-5.2 Pro: —

| Benchmark | DeepSeek LLM 67B | GPT-5.2 Pro |
|---|---|---|
| LMArena Instruction Following | 1079 | — |

## Long Context

- DeepSeek LLM 67B: 33.1 (#260)
- GPT-5.2 Pro: —

| Benchmark | DeepSeek LLM 67B | GPT-5.2 Pro |
|---|---|---|
| LMArena Longer Query | 1092 | — |

## Writing & Preference

- DeepSeek LLM 67B: 31.8 (#277)
- GPT-5.2 Pro: —

| Benchmark | DeepSeek LLM 67B | GPT-5.2 Pro |
|---|---|---|
| LMArena Text | 1105 | — |
| LMArena Creative Writing | 1067 | — |
| LMArena Multi-Turn | 1082 | — |

## FAQ

### Is DeepSeek LLM 67B better than GPT-5.2 Pro?

GPT-5.2 Pro is the stronger model overall, scoring 52.2 to 24.8 on the Noometry Index.

### How many benchmarks do DeepSeek LLM 67B and GPT-5.2 Pro share?

1 benchmark has published results for both models. DeepSeek LLM 67B has 15 scored results on Noometry and GPT-5.2 Pro has 8.