# DeepSeek LLM 67B vs Grok-2 (Dec 2024)

> Grok-2 (Dec 2024) is the stronger model overall, scoring 33.7 to 24.9 on the Noometry Index.

- Canonical page: https://noometry.com/compare/deepseek-llm-67b-vs-grok-2
- 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 Grok-2 (Dec 2024) in 8 categories; 7 gaps are clear of the uncertainty.
- The widest gap is in knowledge, where Grok-2 (Dec 2024) leads 29.8 to 7.0.
- The biggest single-benchmark swing is MATH Level 5: 6.4% for DeepSeek LLM 67B and 63.5% for Grok-2 (Dec 2024).
- DeepSeek LLM 67B has downloadable open weights; the other is API-only.

## Snapshot

| | DeepSeek LLM 67B | Grok-2 (Dec 2024) |
|---|---|---|
| Provider | DeepSeek | xAI |
| Noometry Index | 24.9 | 33.7 |
| Rank | 347 | 239 |
| Context | — | — |
| Input $/M | — | — |
| Output $/M | — | — |
| Weights | Open | Proprietary |

## Coding

- DeepSeek LLM 67B: 31.9 (#278)
- Grok-2 (Dec 2024): 33.3 (#258)

| Benchmark | DeepSeek LLM 67B | Grok-2 (Dec 2024) |
|---|---|---|
| LMArena Coding | 1096 | 1287 |
| WeirdML | — | 22.2% |
| LiveBench Coding | — | 46.4% |

## Reasoning

- DeepSeek LLM 67B: 16.5 (#304)
- Grok-2 (Dec 2024): 16.9 (#299)

| Benchmark | DeepSeek LLM 67B | Grok-2 (Dec 2024) |
|---|---|---|
| LMArena Hard Prompts | 1070 | 1272 |
| Epoch Capabilities Index | 110.5 | 130.48 |
| SimpleBench | — | 22.7% |
| Chess Puzzles | 0% | — |
| LiveBench Reasoning | — | 54.8% |
| DTBench | — | 65.2% |
| LiveBench Data Analysis | — | 54.5% |
| LiveBench | — | 54.3% |

## Math

- DeepSeek LLM 67B: 8.7 (#324)
- Grok-2 (Dec 2024): 20.8 (#284)

| Benchmark | DeepSeek LLM 67B | Grok-2 (Dec 2024) |
|---|---|---|
| OTIS Mock AIME 2024-2025 | 0.8% | 11.5% |
| LMArena Math | 1108 | 1283 |
| MATH Level 5 | 6.4% | 63.5% |
| LiveBench Math | — | 54.9% |
| FrontierMath (Feb 2025 set) | — | 0.7% |

## Knowledge

- DeepSeek LLM 67B: 7.0 (#313)
- Grok-2 (Dec 2024): 29.8 (#233)

| Benchmark | DeepSeek LLM 67B | Grok-2 (Dec 2024) |
|---|---|---|
| GPQA Diamond | 24.6% | 53.8% |
| Confabulations | — | 20.1% |
| LMArena Expert | — | 1254 |

## Multilingual

- DeepSeek LLM 67B: 29.4 (#267)
- Grok-2 (Dec 2024): 43.1 (#188)

| Benchmark | DeepSeek LLM 67B | Grok-2 (Dec 2024) |
|---|---|---|
| LMArena Non-English | 1073 | 1282 |
| LMArena Chinese | 1132 | 1289 |
| LMArena French | — | 1318 |
| LMArena German | — | 1287 |
| LMArena Japanese | — | 1244 |
| LMArena Korean | — | 1237 |
| LMArena Russian | — | 1286 |
| LMArena Spanish | — | 1281 |

## Instruction Following

- DeepSeek LLM 67B: 55.4 (#277)
- Grok-2 (Dec 2024): 66.9 (#202)

| Benchmark | DeepSeek LLM 67B | Grok-2 (Dec 2024) |
|---|---|---|
| LMArena Instruction Following | 1079 | 1270 |
| LiveBench Instruction Following | — | 69.6% |

## Long Context

- DeepSeek LLM 67B: 33.1 (#265)
- Grok-2 (Dec 2024): 38.8 (#190)

| Benchmark | DeepSeek LLM 67B | Grok-2 (Dec 2024) |
|---|---|---|
| LMArena Longer Query | 1092 | 1276 |

## Writing & Preference

- DeepSeek LLM 67B: 31.6 (#282)
- Grok-2 (Dec 2024): 48.6 (#198)

| Benchmark | DeepSeek LLM 67B | Grok-2 (Dec 2024) |
|---|---|---|
| LMArena Text | 1105 | 1305 |
| LMArena Creative Writing | 1067 | 1284 |
| LMArena Multi-Turn | 1082 | 1290 |
| Short-Story Creative Writing | — | 63.6% |
| LiveBench Language | — | 45.6% |

## FAQ

### Is DeepSeek LLM 67B better than Grok-2 (Dec 2024)?

Grok-2 (Dec 2024) is the stronger model overall, scoring 33.7 to 24.9 on the Noometry Index.

### Is DeepSeek LLM 67B or Grok-2 (Dec 2024) better for coding?

Grok-2 (Dec 2024) scores higher on coding benchmarks: 33.3 versus 31.9 in the Noometry coding category.

### How many benchmarks do DeepSeek LLM 67B and Grok-2 (Dec 2024) share?

14 benchmarks have published results for both models. DeepSeek LLM 67B has 15 scored results on Noometry and Grok-2 (Dec 2024) has 34.