# DeepSeek-V3.1 vs Grok 4.1

> DeepSeek-V3.1 is the stronger model overall, scoring 42.2 to 40.8 on the Noometry Index.

- Canonical page: https://noometry.com/compare/deepseek-v3-1-vs-grok-4-1
- Last updated: 2026-10-10
- Shared benchmarks: 17

## Summary

- They share 17 benchmarks with published results for both. DeepSeek-V3.1 scores higher in 3 categories and Grok 4.1 in 5 categories; 6 gaps are clear of the uncertainty.
- The widest gap is in long context, where Grok 4.1 leads 43.2 to 36.3.
- DeepSeek-V3.1 has downloadable open weights; the other is API-only.

## Snapshot

| | DeepSeek-V3.1 | Grok 4.1 |
|---|---|---|
| Provider | DeepSeek | xAI |
| Noometry Index | 42.2 | 40.8 |
| Rank | 106 | 135 |
| Context | 164K | — |
| Input $/M | $0.25 | — |
| Output $/M | $0.95 | — |
| Weights | Open | Proprietary |

## Coding

- DeepSeek-V3.1: 39.8 (#140)
- Grok 4.1: 33.4 (#246)

| Benchmark | DeepSeek-V3.1 | Grok 4.1 |
|---|---|---|
| LMArena Coding | 1417 | 1445 |
| LMArena WebDev | — | 1214 |
| WeirdML | 38.4% | — |

## Agentic & Tool Use

- DeepSeek-V3.1: —
- Grok 4.1: 33.8 (#47)

| Benchmark | DeepSeek-V3.1 | Grok 4.1 |
|---|---|---|
| Cybench | — | 39% |

## Reasoning

- DeepSeek-V3.1: 27.3 (#109)
- Grok 4.1: 28.3 (#91)

| Benchmark | DeepSeek-V3.1 | Grok 4.1 |
|---|---|---|
| LMArena Hard Prompts | 1417 | 1436 |
| SimpleBench | 40% | — |
| Kagi LLM Benchmark | 53.2% | — |
| DTBench | 82.7% | — |
| LMCA | 24.3% | — |
| Epoch Capabilities Index | 139.92 | — |
| ForecastBench | 58 | — |

## Math

- DeepSeek-V3.1: 36.1 (#125)
- Grok 4.1: 36.2 (#124)

| Benchmark | DeepSeek-V3.1 | Grok 4.1 |
|---|---|---|
| LMArena Math | 1420 | 1422 |

## Knowledge

- DeepSeek-V3.1: 43.0 (#86)
- Grok 4.1: 38.9 (#129)

| Benchmark | DeepSeek-V3.1 | Grok 4.1 |
|---|---|---|
| LMArena Expert | 1403 | 1417 |
| Vectara Hallucination Rate | 5.5% | — |

## Multilingual

- DeepSeek-V3.1: 51.8 (#100)
- Grok 4.1: 53.6 (#64)

| Benchmark | DeepSeek-V3.1 | Grok 4.1 |
|---|---|---|
| LMArena Non-English | 1400 | 1425 |
| LMArena Chinese | 1470 | 1464 |
| LMArena French | 1447 | 1448 |
| LMArena German | 1412 | 1447 |
| LMArena Japanese | 1374 | 1396 |
| LMArena Korean | 1337 | 1407 |
| LMArena Russian | 1405 | 1434 |
| LMArena Spanish | 1429 | 1438 |

## Instruction Following

- DeepSeek-V3.1: 74.1 (#105)
- Grok 4.1: 74.0 (#106)

| Benchmark | DeepSeek-V3.1 | Grok 4.1 |
|---|---|---|
| LMArena Instruction Following | 1400 | 1400 |

## Long Context

- DeepSeek-V3.1: 36.3 (#227)
- Grok 4.1: 43.2 (#96)

| Benchmark | DeepSeek-V3.1 | Grok 4.1 |
|---|---|---|
| LMArena Longer Query | 1422 | 1416 |
| Fiction.LiveBench | 52.8% | — |

## Writing & Preference

- DeepSeek-V3.1: 60.5 (#93)
- Grok 4.1: 62.6 (#71)

| Benchmark | DeepSeek-V3.1 | Grok 4.1 |
|---|---|---|
| LMArena Text | 1420 | 1437 |
| LMArena Creative Writing | 1401 | 1411 |
| LMArena Multi-Turn | 1408 | 1438 |
| EQ-Bench Creative Writing | 1436 | — |

## FAQ

### Is DeepSeek-V3.1 better than Grok 4.1?

DeepSeek-V3.1 is the stronger model overall, scoring 42.2 to 40.8 on the Noometry Index.

### Is DeepSeek-V3.1 or Grok 4.1 better for coding?

DeepSeek-V3.1 scores higher on coding benchmarks: 39.8 versus 33.4 in the Noometry coding category.

### How many benchmarks do DeepSeek-V3.1 and Grok 4.1 share?

17 benchmarks have published results for both models. DeepSeek-V3.1 has 27 scored results on Noometry and Grok 4.1 has 19.