# DeepSeek LLM 67B vs DeepSeek-V3.2-Speciale

> DeepSeek-V3.2-Speciale is the stronger model overall, scoring 39.7 to 24.9 on the Noometry Index.

- Canonical page: https://noometry.com/compare/deepseek-llm-67b-vs-deepseek-v3-2-speciale
- Last updated: 2026-10-12
- Shared benchmarks: 0

## Summary

- The widest gap is in reasoning, where DeepSeek-V3.2-Speciale leads 32.9 to 16.5.

## Snapshot

| | DeepSeek LLM 67B | DeepSeek-V3.2-Speciale |
|---|---|---|
| Provider | DeepSeek | DeepSeek |
| Noometry Index | 24.9 | 39.7 |
| Rank | 347 | 162 |
| Context | — | 128K |
| Input $/M | — | $0.58 |
| Output $/M | — | $1.68 |
| Weights | Open | Open |

## Coding

- DeepSeek LLM 67B: 31.9 (#278)
- DeepSeek-V3.2-Speciale: 40.4 (#140)

| Benchmark | DeepSeek LLM 67B | DeepSeek-V3.2-Speciale |
|---|---|---|
| WeirdML | — | 46.7% |
| LMArena Coding | 1096 | — |

## Reasoning

- DeepSeek LLM 67B: 16.5 (#304)
- DeepSeek-V3.2-Speciale: 32.9 (#73)

| Benchmark | DeepSeek LLM 67B | DeepSeek-V3.2-Speciale |
|---|---|---|
| SimpleBench | — | 52.6% |
| Chess Puzzles | 0% | — |
| LMArena Hard Prompts | 1070 | — |
| Epoch Capabilities Index | 110.5 | — |

## Math

- DeepSeek LLM 67B: 8.7 (#324)
- DeepSeek-V3.2-Speciale: —

| Benchmark | DeepSeek LLM 67B | DeepSeek-V3.2-Speciale |
|---|---|---|
| OTIS Mock AIME 2024-2025 | 0.8% | — |
| LMArena Math | 1108 | — |
| MATH Level 5 | 6.4% | — |

## Knowledge

- DeepSeek LLM 67B: 7.0 (#313)
- DeepSeek-V3.2-Speciale: —

| Benchmark | DeepSeek LLM 67B | DeepSeek-V3.2-Speciale |
|---|---|---|
| GPQA Diamond | 24.6% | — |

## Multilingual

- DeepSeek LLM 67B: 29.4 (#267)
- DeepSeek-V3.2-Speciale: —

| Benchmark | DeepSeek LLM 67B | DeepSeek-V3.2-Speciale |
|---|---|---|
| LMArena Non-English | 1073 | — |
| LMArena Chinese | 1132 | — |

## Instruction Following

- DeepSeek LLM 67B: 55.4 (#277)
- DeepSeek-V3.2-Speciale: —

| Benchmark | DeepSeek LLM 67B | DeepSeek-V3.2-Speciale |
|---|---|---|
| LMArena Instruction Following | 1079 | — |

## Long Context

- DeepSeek LLM 67B: 33.1 (#265)
- DeepSeek-V3.2-Speciale: —

| Benchmark | DeepSeek LLM 67B | DeepSeek-V3.2-Speciale |
|---|---|---|
| LMArena Longer Query | 1092 | — |

## Writing & Preference

- DeepSeek LLM 67B: 31.6 (#282)
- DeepSeek-V3.2-Speciale: 46.0 (#222)

| Benchmark | DeepSeek LLM 67B | DeepSeek-V3.2-Speciale |
|---|---|---|
| LMArena Text | 1105 | — |
| LMArena Creative Writing | 1067 | — |
| EQ-Bench Creative Writing | — | 1276 |
| LMArena Multi-Turn | 1082 | — |

## FAQ

### Is DeepSeek LLM 67B better than DeepSeek-V3.2-Speciale?

DeepSeek-V3.2-Speciale is the stronger model overall, scoring 39.7 to 24.9 on the Noometry Index.

### Is DeepSeek LLM 67B or DeepSeek-V3.2-Speciale better for coding?

DeepSeek-V3.2-Speciale scores higher on coding benchmarks: 40.4 versus 31.9 in the Noometry coding category.

### How many benchmarks do DeepSeek LLM 67B and DeepSeek-V3.2-Speciale share?

0 benchmarks have published results for both models. DeepSeek LLM 67B has 15 scored results on Noometry and DeepSeek-V3.2-Speciale has 3.