# DeepSeek-V3.1 vs Grok 3

> DeepSeek-V3.1 is the stronger model overall, scoring 42.8 to 39.9 on the Noometry Index.

- Canonical page: https://noometry.com/compare/deepseek-v3-1-vs-grok-3
- Last updated: 2026-10-10
- Shared benchmarks: 24

## Summary

- They share 24 benchmarks with published results for both. DeepSeek-V3.1 scores higher in 3 categories and Grok 3 in 5 categories; 6 gaps are clear of the uncertainty.
- The widest gap is in reasoning, where DeepSeek-V3.1 leads 27.9 to 13.7.
- The biggest single-benchmark swing is Kagi LLM Benchmark: 53.2% for DeepSeek-V3.1 and 61.3% for Grok 3.
- DeepSeek-V3.1 has downloadable open weights; the other is API-only.

## Snapshot

| | DeepSeek-V3.1 | Grok 3 |
|---|---|---|
| Provider | DeepSeek | xAI |
| Noometry Index | 42.8 | 39.9 |
| Rank | 108 | 157 |
| Context | 164K | — |
| Input $/M | $0.25 | — |
| Output $/M | $0.95 | — |
| Weights | Open | Proprietary |

## Coding

- DeepSeek-V3.1: 40.3 (#144)
- Grok 3: 41.9 (#115)

| Benchmark | DeepSeek-V3.1 | Grok 3 |
|---|---|---|
| WeirdML | 38.4% | 37.2% |
| LMArena Coding | 1417 | 1432 |
| Aider Polyglot | — | 53.3% |

## Agentic & Tool Use

- DeepSeek-V3.1: —
- Grok 3: 30.5 (#76)

| Benchmark | DeepSeek-V3.1 | Grok 3 |
|---|---|---|
| BALROG | — | 29.5% |

## Reasoning

- DeepSeek-V3.1: 27.9 (#110)
- Grok 3: 13.7 (#333)

| Benchmark | DeepSeek-V3.1 | Grok 3 |
|---|---|---|
| SimpleBench | 40% | 36.1% |
| Kagi LLM Benchmark | 53.2% | 61.3% |
| LMArena Hard Prompts | 1417 | 1434 |
| Epoch Capabilities Index | 139.92 | 138.33 |
| ARC-AGI-2 | — | 0% |
| ARC-AGI-1 | — | 5.5% |
| DTBench | 82.7% | — |
| LMCA | 24.3% | — |
| ForecastBench | 58 | — |

## Math

- DeepSeek-V3.1: 38.9 (#122)
- Grok 3: 38.0 (#145)

| Benchmark | DeepSeek-V3.1 | Grok 3 |
|---|---|---|
| LMArena Math | 1420 | 1391 |
| OTIS Mock AIME 2024-2025 | — | 55.6% |
| Omni-MATH | — | 46.4% |
| MATH Level 5 | — | 88.7% |
| FrontierMath (Feb 2025 set) | — | 3.8% |
| FrontierMath Tier 4 (v1) | — | 0% |

## Knowledge

- DeepSeek-V3.1: 43.7 (#90)
- Grok 3: 46.2 (#82)

| Benchmark | DeepSeek-V3.1 | Grok 3 |
|---|---|---|
| Vectara Hallucination Rate | 5.5% | 5.8% |
| LMArena Expert | 1405 | 1421 |
| GPQA Diamond | — | 75.8% |
| MMLU-Pro | — | 78.8% |
| Confabulations | — | 14.2% |
| GPQA (HELM) | — | 65% |

## Multilingual

- DeepSeek-V3.1: 51.6 (#106)
- Grok 3: 52.3 (#87)

| Benchmark | DeepSeek-V3.1 | Grok 3 |
|---|---|---|
| LMArena Non-English | 1400 | 1410 |
| LMArena Chinese | 1469 | 1448 |
| LMArena French | 1447 | 1460 |
| LMArena German | 1411 | 1431 |
| LMArena Japanese | 1378 | 1387 |
| LMArena Korean | 1337 | 1373 |
| LMArena Russian | 1405 | 1416 |
| LMArena Spanish | 1431 | 1417 |

## Instruction Following

- DeepSeek-V3.1: 73.9 (#110)
- Grok 3: 75.0 (#73)

| Benchmark | DeepSeek-V3.1 | Grok 3 |
|---|---|---|
| LMArena Instruction Following | 1400 | 1409 |
| IFEval | — | 88.4% |

## Long Context

- DeepSeek-V3.1: 36.3 (#232)
- Grok 3: 38.7 (#192)

| Benchmark | DeepSeek-V3.1 | Grok 3 |
|---|---|---|
| Fiction.LiveBench | 52.8% | 58.3% |
| LMArena Longer Query | 1422 | 1439 |

## Writing & Preference

- DeepSeek-V3.1: 60.3 (#98)
- Grok 3: 55.8 (#141)

| Benchmark | DeepSeek-V3.1 | Grok 3 |
|---|---|---|
| LMArena Text | 1420 | 1426 |
| LMArena Creative Writing | 1401 | 1414 |
| EQ-Bench Creative Writing | 1436 | 1186 |
| LMArena Multi-Turn | 1408 | 1425 |
| Short-Story Creative Writing | — | 76.4% |
| WildBench | — | 84.9% |

## FAQ

### Is DeepSeek-V3.1 better than Grok 3?

DeepSeek-V3.1 is the stronger model overall, scoring 42.8 to 39.9 on the Noometry Index.

### Is DeepSeek-V3.1 or Grok 3 better for coding?

Grok 3 scores higher on coding benchmarks: 41.9 versus 40.3 in the Noometry coding category.

### How many benchmarks do DeepSeek-V3.1 and Grok 3 share?

24 benchmarks have published results for both models. DeepSeek-V3.1 has 27 scored results on Noometry and Grok 3 has 40.