# DeepSeek LLM 67B vs GPT-5.5 Pro

> GPT-5.5 Pro is the stronger model overall, scoring 64.3 to 24.8 on the Noometry Index.

- Canonical page: https://noometry.com/compare/deepseek-llm-67b-vs-gpt-5-5-pro
- Last updated: 2026-10-10
- Shared benchmarks: 4

## Summary

- They share 4 benchmarks with published results for both. DeepSeek LLM 67B scores higher in 0 categories and GPT-5.5 Pro in 3 categories; 3 gaps are clear of the uncertainty.
- The widest gap is in math, where GPT-5.5 Pro leads 83.8 to 8.1.
- The biggest single-benchmark swing is OTIS Mock AIME 2024-2025: 0.8% for DeepSeek LLM 67B and 100% for GPT-5.5 Pro.
- DeepSeek LLM 67B has downloadable open weights; the other is API-only.

## Snapshot

| | DeepSeek LLM 67B | GPT-5.5 Pro |
|---|---|---|
| Provider | DeepSeek | OpenAI |
| Noometry Index | 24.8 | 64.3 |
| Rank | 341 | 7 |
| Context | — | 1.05M |
| Input $/M | — | $30 |
| Output $/M | — | $180 |
| Weights | Open | Proprietary |

## Coding

- DeepSeek LLM 67B: 31.3 (#273)
- GPT-5.5 Pro: —

| Benchmark | DeepSeek LLM 67B | GPT-5.5 Pro |
|---|---|---|
| LMArena Coding | 1096 | — |

## Reasoning

- DeepSeek LLM 67B: 15.9 (#300)
- GPT-5.5 Pro: 73.6 (#7)

| Benchmark | DeepSeek LLM 67B | GPT-5.5 Pro |
|---|---|---|
| Chess Puzzles | 0% | 64% |
| Epoch Capabilities Index | 110.54 | 162.45 |
| ARC-AGI-2 | — | 84.6% |
| SimpleBench | — | 76.9% |
| ARC-AGI-1 | — | 96.5% |
| CritPt | — | 30.6% |
| LMArena Hard Prompts | 1070 | — |
| DTBench | — | 96% |
| LMCA | — | 53.9% |

## Math

- DeepSeek LLM 67B: 8.1 (#318)
- GPT-5.5 Pro: 83.8 (#8)

| Benchmark | DeepSeek LLM 67B | GPT-5.5 Pro |
|---|---|---|
| OTIS Mock AIME 2024-2025 | 0.8% | 100% |
| FrontierMath (Tiers 1-3) | — | 87.7% |
| FrontierMath Tier 4 | — | 78% |
| LMArena Math | 1108 | — |
| MATH Level 5 | 6.4% | — |
| FrontierMath (Feb 2025 set) | — | 52.4% |
| FrontierMath Tier 4 (v1) | — | 39.6% |

## Knowledge

- DeepSeek LLM 67B: 7.1 (#308)
- GPT-5.5 Pro: 64.2 (#17)

| Benchmark | DeepSeek LLM 67B | GPT-5.5 Pro |
|---|---|---|
| GPQA Diamond | 24.6% | 93.9% |

## Multilingual

- DeepSeek LLM 67B: 29.5 (#262)
- GPT-5.5 Pro: —

| Benchmark | DeepSeek LLM 67B | GPT-5.5 Pro |
|---|---|---|
| LMArena Non-English | 1073 | — |
| LMArena Chinese | 1132 | — |

## Instruction Following

- DeepSeek LLM 67B: 55.7 (#272)
- GPT-5.5 Pro: —

| Benchmark | DeepSeek LLM 67B | GPT-5.5 Pro |
|---|---|---|
| LMArena Instruction Following | 1079 | — |

## Long Context

- DeepSeek LLM 67B: 33.1 (#260)
- GPT-5.5 Pro: —

| Benchmark | DeepSeek LLM 67B | GPT-5.5 Pro |
|---|---|---|
| LMArena Longer Query | 1092 | — |

## Writing & Preference

- DeepSeek LLM 67B: 31.8 (#277)
- GPT-5.5 Pro: —

| Benchmark | DeepSeek LLM 67B | GPT-5.5 Pro |
|---|---|---|
| LMArena Text | 1105 | — |
| LMArena Creative Writing | 1067 | — |
| LMArena Multi-Turn | 1082 | — |

## FAQ

### Is DeepSeek LLM 67B better than GPT-5.5 Pro?

GPT-5.5 Pro is the stronger model overall, scoring 64.3 to 24.8 on the Noometry Index.

### How many benchmarks do DeepSeek LLM 67B and GPT-5.5 Pro share?

4 benchmarks have published results for both models. DeepSeek LLM 67B has 15 scored results on Noometry and GPT-5.5 Pro has 14.