# DeepSeek-V3.1 vs Grok 2 Mini 2024 08 13

> DeepSeek-V3.1 is the stronger model overall, scoring 42.8 to 37.7 on the Noometry Index.

- Canonical page: https://noometry.com/compare/deepseek-v3-1-vs-grok-2-mini
- Last updated: 2026-10-10
- Shared benchmarks: 17

## Summary

- They share 17 benchmarks with published results for both. DeepSeek-V3.1 scores higher in 7 categories and Grok 2 Mini 2024 08 13 in 1 category; 8 gaps are clear of the uncertainty.
- The widest gap is in writing & preference, where DeepSeek-V3.1 leads 60.3 to 47.3.
- DeepSeek-V3.1 has downloadable open weights; the other is API-only.

## Snapshot

| | DeepSeek-V3.1 | Grok 2 Mini 2024 08 13 |
|---|---|---|
| Provider | DeepSeek | xAI |
| Noometry Index | 42.8 | 37.7 |
| Rank | 108 | 198 |
| Context | 164K | — |
| Input $/M | $0.25 | — |
| Output $/M | $0.95 | — |
| Weights | Open | Proprietary |

## Coding

- DeepSeek-V3.1: 40.3 (#144)
- Grok 2 Mini 2024 08 13: 37.0 (#199)

| Benchmark | DeepSeek-V3.1 | Grok 2 Mini 2024 08 13 |
|---|---|---|
| LMArena Coding | 1417 | 1269 |
| WeirdML | 38.4% | — |

## Reasoning

- DeepSeek-V3.1: 27.9 (#110)
- Grok 2 Mini 2024 08 13: 24.8 (#159)

| Benchmark | DeepSeek-V3.1 | Grok 2 Mini 2024 08 13 |
|---|---|---|
| LMArena Hard Prompts | 1417 | 1255 |
| SimpleBench | 40% | — |
| Kagi LLM Benchmark | 53.2% | — |
| DTBench | 82.7% | — |
| LMCA | 24.3% | — |
| Epoch Capabilities Index | 139.92 | — |
| ForecastBench | 58 | — |

## Math

- DeepSeek-V3.1: 38.9 (#122)
- Grok 2 Mini 2024 08 13: 35.4 (#185)

| Benchmark | DeepSeek-V3.1 | Grok 2 Mini 2024 08 13 |
|---|---|---|
| LMArena Math | 1420 | 1265 |

## Knowledge

- DeepSeek-V3.1: 43.7 (#90)
- Grok 2 Mini 2024 08 13: 33.9 (#200)

| Benchmark | DeepSeek-V3.1 | Grok 2 Mini 2024 08 13 |
|---|---|---|
| LMArena Expert | 1405 | 1238 |
| Vectara Hallucination Rate | 5.5% | — |

## Multilingual

- DeepSeek-V3.1: 51.6 (#106)
- Grok 2 Mini 2024 08 13: 41.4 (#208)

| Benchmark | DeepSeek-V3.1 | Grok 2 Mini 2024 08 13 |
|---|---|---|
| LMArena Non-English | 1400 | 1257 |
| LMArena Chinese | 1469 | 1262 |
| LMArena French | 1447 | 1286 |
| LMArena German | 1411 | 1273 |
| LMArena Japanese | 1378 | 1213 |
| LMArena Korean | 1337 | 1195 |
| LMArena Russian | 1405 | 1261 |
| LMArena Spanish | 1431 | 1279 |

## Instruction Following

- DeepSeek-V3.1: 73.9 (#110)
- Grok 2 Mini 2024 08 13: 65.5 (#220)

| Benchmark | DeepSeek-V3.1 | Grok 2 Mini 2024 08 13 |
|---|---|---|
| LMArena Instruction Following | 1400 | 1245 |

## Long Context

- DeepSeek-V3.1: 36.3 (#232)
- Grok 2 Mini 2024 08 13: 38.4 (#196)

| Benchmark | DeepSeek-V3.1 | Grok 2 Mini 2024 08 13 |
|---|---|---|
| LMArena Longer Query | 1422 | 1266 |
| Fiction.LiveBench | 52.8% | — |

## Writing & Preference

- DeepSeek-V3.1: 60.3 (#98)
- Grok 2 Mini 2024 08 13: 47.3 (#211)

| Benchmark | DeepSeek-V3.1 | Grok 2 Mini 2024 08 13 |
|---|---|---|
| LMArena Text | 1420 | 1281 |
| LMArena Creative Writing | 1401 | 1242 |
| LMArena Multi-Turn | 1408 | 1265 |
| EQ-Bench Creative Writing | 1436 | — |

## FAQ

### Is DeepSeek-V3.1 better than Grok 2 Mini 2024 08 13?

DeepSeek-V3.1 is the stronger model overall, scoring 42.8 to 37.7 on the Noometry Index.

### Is DeepSeek-V3.1 or Grok 2 Mini 2024 08 13 better for coding?

DeepSeek-V3.1 scores higher on coding benchmarks: 40.3 versus 37.0 in the Noometry coding category.

### How many benchmarks do DeepSeek-V3.1 and Grok 2 Mini 2024 08 13 share?

17 benchmarks have published results for both models. DeepSeek-V3.1 has 27 scored results on Noometry and Grok 2 Mini 2024 08 13 has 17.