# DeepSeek LLM 67B vs GPT-6.1 Sol

> DeepSeek LLM 67B has enough public results to be ranked (#341); GPT-6.1 Sol does not yet, so treat this comparison as directional.

- Canonical page: https://noometry.com/compare/deepseek-llm-67b-vs-gpt-6-1-sol
- Last updated: 2026-10-10
- Shared benchmarks: 0

## Summary

- The widest gap is in coding, where GPT-6.1 Sol leads 51.4 to 31.3.
- DeepSeek LLM 67B has downloadable open weights; the other is API-only.

## Snapshot

| | DeepSeek LLM 67B | GPT-6.1 Sol |
|---|---|---|
| Provider | DeepSeek | OpenAI |
| Noometry Index | 24.8 | 42.1 |
| Rank | 341 | — |
| Context | — | 1.05M |
| Input $/M | — | $2 |
| Output $/M | — | $10 |
| Weights | Open | Proprietary |

## Coding

- DeepSeek LLM 67B: 31.3 (#273)
- GPT-6.1 Sol: 51.4

| Benchmark | DeepSeek LLM 67B | GPT-6.1 Sol |
|---|---|---|
| DeepSWE | — | 75.2% |
| LMArena Coding | 1096 | — |

## Agentic & Tool Use

- DeepSeek LLM 67B: —
- GPT-6.1 Sol: 34.3

| Benchmark | DeepSeek LLM 67B | GPT-6.1 Sol |
|---|---|---|
| GDP.pdf | — | 32% |

## Reasoning

- DeepSeek LLM 67B: 15.9 (#300)
- GPT-6.1 Sol: —

| Benchmark | DeepSeek LLM 67B | GPT-6.1 Sol |
|---|---|---|
| Chess Puzzles | 0% | — |
| LMArena Hard Prompts | 1070 | — |
| Epoch Capabilities Index | 110.54 | — |

## Math

- DeepSeek LLM 67B: 8.1 (#318)
- GPT-6.1 Sol: —

| Benchmark | DeepSeek LLM 67B | GPT-6.1 Sol |
|---|---|---|
| OTIS Mock AIME 2024-2025 | 0.8% | — |
| LMArena Math | 1108 | — |
| MATH Level 5 | 6.4% | — |

## Knowledge

- DeepSeek LLM 67B: 7.1 (#308)
- GPT-6.1 Sol: —

| Benchmark | DeepSeek LLM 67B | GPT-6.1 Sol |
|---|---|---|
| GPQA Diamond | 24.6% | — |

## Multilingual

- DeepSeek LLM 67B: 29.5 (#262)
- GPT-6.1 Sol: —

| Benchmark | DeepSeek LLM 67B | GPT-6.1 Sol |
|---|---|---|
| LMArena Non-English | 1073 | — |
| LMArena Chinese | 1132 | — |

## Instruction Following

- DeepSeek LLM 67B: 55.7 (#272)
- GPT-6.1 Sol: —

| Benchmark | DeepSeek LLM 67B | GPT-6.1 Sol |
|---|---|---|
| LMArena Instruction Following | 1079 | — |

## Long Context

- DeepSeek LLM 67B: 33.1 (#260)
- GPT-6.1 Sol: —

| Benchmark | DeepSeek LLM 67B | GPT-6.1 Sol |
|---|---|---|
| LMArena Longer Query | 1092 | — |

## Writing & Preference

- DeepSeek LLM 67B: 31.8 (#277)
- GPT-6.1 Sol: —

| Benchmark | DeepSeek LLM 67B | GPT-6.1 Sol |
|---|---|---|
| LMArena Text | 1105 | — |
| LMArena Creative Writing | 1067 | — |
| LMArena Multi-Turn | 1082 | — |

## FAQ

### Is DeepSeek LLM 67B better than GPT-6.1 Sol?

DeepSeek LLM 67B has enough public results to be ranked (#341); GPT-6.1 Sol does not yet, so treat this comparison as directional.

### Is DeepSeek LLM 67B or GPT-6.1 Sol better for coding?

GPT-6.1 Sol scores higher on coding benchmarks: 51.4 versus 31.3 in the Noometry coding category.

### How many benchmarks do DeepSeek LLM 67B and GPT-6.1 Sol share?

0 benchmarks have published results for both models. DeepSeek LLM 67B has 15 scored results on Noometry and GPT-6.1 Sol has 2.