# DeepSeek LLM 67B vs GPT-5.1

> GPT-5.1 is the stronger model overall, scoring 48.8 to 24.8 on the Noometry Index.

- Canonical page: https://noometry.com/compare/deepseek-llm-67b-vs-gpt-5-1
- Last updated: 2026-10-10
- Shared benchmarks: 14

## Summary

- They share 14 benchmarks with published results for both. DeepSeek LLM 67B scores higher in 0 categories and GPT-5.1 in 8 categories; 8 gaps are clear of the uncertainty.
- The widest gap is in knowledge, where GPT-5.1 leads 50.5 to 7.1.
- The biggest single-benchmark swing is OTIS Mock AIME 2024-2025: 0.8% for DeepSeek LLM 67B and 88.6% for GPT-5.1.
- DeepSeek LLM 67B has downloadable open weights; the other is API-only.

## Snapshot

| | DeepSeek LLM 67B | GPT-5.1 |
|---|---|---|
| Provider | DeepSeek | OpenAI |
| Noometry Index | 24.8 | 48.8 |
| Rank | 341 | 47 |
| Context | — | 400K |
| Input $/M | — | $1.25 |
| Output $/M | — | $10 |
| Weights | Open | Proprietary |

## Coding

- DeepSeek LLM 67B: 31.3 (#273)
- GPT-5.1: 46.9 (#59)

| Benchmark | DeepSeek LLM 67B | GPT-5.1 |
|---|---|---|
| LMArena Coding | 1096 | 1454 |
| SWE-bench Verified | — | 68% |
| SWE-bench Verified (bash only) | — | 66% |
| LMArena WebDev | — | 1395 |
| SciCode | — | 43.3% |
| GSO | — | 13.7% |
| WeirdML | — | 60.8% |
| LiveBench Coding | — | 72.5% |
| ALE-Bench | — | 1,192 |

## Agentic & Tool Use

- DeepSeek LLM 67B: —
- GPT-5.1: 32.5 (#55)

| Benchmark | DeepSeek LLM 67B | GPT-5.1 |
|---|---|---|
| Terminal-Bench | — | 47.6% |
| DeepResearch Bench | — | 42.8% |
| LMArena Search | — | 1199 |
| Vending-Bench 2 | — | 1,473 |

## Reasoning

- DeepSeek LLM 67B: 15.9 (#300)
- GPT-5.1: 39.9 (#50)

| Benchmark | DeepSeek LLM 67B | GPT-5.1 |
|---|---|---|
| Chess Puzzles | 0% | 32% |
| LMArena Hard Prompts | 1070 | 1457 |
| Epoch Capabilities Index | 110.54 | 149.66 |
| ARC-AGI-2 | — | 17.6% |
| SimpleBench | — | 53.2% |
| ARC-AGI-1 | — | 72.8% |
| CritPt | — | 4.9% |
| EnigmaEval | — | 11.2% |
| LiveBench Reasoning | — | 95.8% |
| Mystery Game Puzzles | — | 19% |
| DTBench | — | 90.1% |
| LiveBench Data Analysis | — | 72.1% |
| LMCA | — | 43.9% |
| ForecastBench | — | 58.1 |
| LiveBench | — | 78.8% |

## Math

- DeepSeek LLM 67B: 8.1 (#318)
- GPT-5.1: 50.3 (#45)

| Benchmark | DeepSeek LLM 67B | GPT-5.1 |
|---|---|---|
| OTIS Mock AIME 2024-2025 | 0.8% | 88.6% |
| LMArena Math | 1108 | 1446 |
| Omni-MATH | — | 46.4% |
| LiveBench Math | — | 94.5% |
| MATH Level 5 | 6.4% | — |
| FrontierMath (Feb 2025 set) | — | 31% |
| FrontierMath Tier 4 (v1) | — | 12.5% |

## Knowledge

- DeepSeek LLM 67B: 7.1 (#308)
- GPT-5.1: 50.5 (#65)

| Benchmark | DeepSeek LLM 67B | GPT-5.1 |
|---|---|---|
| GPQA Diamond | 24.6% | 87.6% |
| Humanity's Last Exam | — | 23.7% |
| SimpleQA Verified | — | 48% |
| MMLU-Pro | — | 57.9% |
| Vectara Hallucination Rate | — | 10.9% |
| GPQA (HELM) | — | 44.2% |
| LMArena Expert | — | 1470 |

## Multimodal

- DeepSeek LLM 67B: —
- GPT-5.1: 44.0 (#17)

| Benchmark | DeepSeek LLM 67B | GPT-5.1 |
|---|---|---|
| LMArena Vision | — | 1250 |
| VPCT | — | 58.7% |
| LMArena Document | — | 1403 |

## Multilingual

- DeepSeek LLM 67B: 29.5 (#262)
- GPT-5.1: 54.0 (#51)

| Benchmark | DeepSeek LLM 67B | GPT-5.1 |
|---|---|---|
| LMArena Non-English | 1073 | 1431 |
| LMArena Chinese | 1132 | 1495 |
| LMArena French | — | 1451 |
| LMArena German | — | 1439 |
| LMArena Japanese | — | 1453 |
| LMArena Korean | — | 1401 |
| LMArena Russian | — | 1435 |
| LMArena Spanish | — | 1430 |

## Instruction Following

- DeepSeek LLM 67B: 55.7 (#272)
- GPT-5.1: 84.0 (#1)

| Benchmark | DeepSeek LLM 67B | GPT-5.1 |
|---|---|---|
| LMArena Instruction Following | 1079 | 1442 |
| LiveBench Instruction Following | — | 93.3% |
| IFEval | — | 93.5% |

## Long Context

- DeepSeek LLM 67B: 33.1 (#260)
- GPT-5.1: 47.6 (#14)

| Benchmark | DeepSeek LLM 67B | GPT-5.1 |
|---|---|---|
| LMArena Longer Query | 1092 | 1448 |
| CL-bench | — | 23.7% |
| CL-bench Life | — | 17.3% |

## Writing & Preference

- DeepSeek LLM 67B: 31.8 (#277)
- GPT-5.1: 64.7 (#53)

| Benchmark | DeepSeek LLM 67B | GPT-5.1 |
|---|---|---|
| LMArena Text | 1105 | 1443 |
| LMArena Creative Writing | 1067 | 1427 |
| LMArena Multi-Turn | 1082 | 1449 |
| WildBench | — | 86.3% |
| LiveBench Language | — | 80.2% |

## FAQ

### Is DeepSeek LLM 67B better than GPT-5.1?

GPT-5.1 is the stronger model overall, scoring 48.8 to 24.8 on the Noometry Index.

### Is DeepSeek LLM 67B or GPT-5.1 better for coding?

GPT-5.1 scores higher on coding benchmarks: 46.9 versus 31.3 in the Noometry coding category.

### How many benchmarks do DeepSeek LLM 67B and GPT-5.1 share?

14 benchmarks have published results for both models. DeepSeek LLM 67B has 15 scored results on Noometry and GPT-5.1 has 63.