# Grok 4.6 vs Llama 13b

> Grok 4.6 is the stronger model overall, scoring 56.9 to 24.4 on the Noometry Index.

- Canonical page: https://noometry.com/compare/grok-4-6-vs-llama-13b
- Last updated: 2026-10-10
- Shared benchmarks: 9

## Summary

- They share 9 benchmarks with published results for both. Grok 4.6 scores higher in 6 categories and Llama 13b in 0 categories; 6 gaps are clear of the uncertainty.
- The widest gap is in writing & preference, where Grok 4.6 leads 62.3 to 13.8.
- Llama 13b has downloadable open weights; the other is API-only.

## Snapshot

| | Grok 4.6 | Llama 13b |
|---|---|---|
| Provider | xAI | Meta |
| Noometry Index | 56.9 | 24.4 |
| Rank | 21 | 348 |
| Context | 500K | — |
| Input $/M | $2 | — |
| Output $/M | $6 | — |
| Weights | Proprietary | Open |

## Coding

- Grok 4.6: 58.5 (#16)
- Llama 13b: 21.4 (#337)

| Benchmark | Grok 4.6 | Llama 13b |
|---|---|---|
| LMArena Coding | 1465 | 683 |
| DeepSWE | 67.5% | — |
| FrontierCode | 48% | — |
| CursorBench | 41.4% | — |
| LMArena WebDev | 1617 | — |
| FrontierSWE | 25.3% | — |
| SciCode | 56.5% | — |
| WeirdML | 67.3% | — |
| ALE-Bench | 1,508 | — |

## Agentic & Tool Use

- Grok 4.6: 39.4 (#27)
- Llama 13b: —

| Benchmark | Grok 4.6 | Llama 13b |
|---|---|---|
| APEX-Agents | 65.3% | — |
| GDP.pdf | 17.2% | — |
| Vending-Bench 2 | 9,047 | — |

## Reasoning

- Grok 4.6: 61.4 (#20)
- Llama 13b: 14.0 (#329)

| Benchmark | Grok 4.6 | Llama 13b |
|---|---|---|
| LMArena Hard Prompts | 1447 | 728 |
| Epoch Capabilities Index | 156.44 | 100.58 |
| ARC-AGI-2 | 67.1% | — |
| SimpleBench | 75.9% | — |
| NYT Connections (extended) | 80% | — |
| ARC-AGI-1 | 87.5% | — |
| CritPt | 19.7% | — |
| Chess Puzzles | 40% | — |
| EBR-Bench | 30.5% | — |
| Mystery Game Puzzles | 34% | — |
| DTBench | 97.3% | — |
| LMCA | 48.5% | — |
| BIG-Bench Hard | — | 37.9% |
| HellaSwag | — | 79.2% |
| LAMBADA | — | 75.2% |
| PIQA | — | 80.1% |
| WinoGrande | — | 73% |

## Math

- Grok 4.6: 67.0 (#24)
- Llama 13b: 26.7 (#256)

| Benchmark | Grok 4.6 | Llama 13b |
|---|---|---|
| LMArena Math | 1423 | 838 |
| FrontierMath (Tiers 1-3) | 66% | — |
| FrontierMath Tier 4 | 31.7% | — |
| OTIS Mock AIME 2024-2025 | 99.2% | — |
| ProofBench | 51% | — |
| GSM8K | — | 20.6% |

## Knowledge

- Grok 4.6: 63.3 (#20)
- Llama 13b: —

| Benchmark | Grok 4.6 | Llama 13b |
|---|---|---|
| GPQA Diamond | 94% | — |
| SimpleQA Verified | 49.3% | — |
| LMArena Expert | 1467 | — |
| ARC (AI2) Challenge | — | 52.7% |
| BoolQ | — | 78.7% |
| MMLU | — | 47.7% |
| OpenBookQA | — | 56.4% |
| TriviaQA | — | 77.9% |

## Multimodal

- Grok 4.6: 43.6 (#23)
- Llama 13b: —

| Benchmark | Grok 4.6 | Llama 13b |
|---|---|---|
| LMArena Vision | 1263 | — |
| Blueprint-Bench 2 | 33.2% | — |
| Furniture Assembly | 40% | — |
| LMArena Document | 1452 | — |
| ScienceQA | — | 43.3% |

## Multilingual

- Grok 4.6: 53.0 (#74)
- Llama 13b: 16.6 (#297)

| Benchmark | Grok 4.6 | Llama 13b |
|---|---|---|
| LMArena Non-English | 1420 | 819 |
| LMArena Chinese | 1480 | — |
| LMArena French | 1461 | — |
| LMArena German | 1431 | — |
| LMArena Japanese | 1376 | — |
| LMArena Korean | 1397 | — |
| LMArena Russian | 1422 | — |
| LMArena Spanish | 1404 | — |

## Instruction Following

- Grok 4.6: 75.4 (#63)
- Llama 13b: 36.7 (#305)

| Benchmark | Grok 4.6 | Llama 13b |
|---|---|---|
| LMArena Instruction Following | 1431 | 781 |

## Long Context

- Grok 4.6: 44.5 (#66)
- Llama 13b: —

| Benchmark | Grok 4.6 | Llama 13b |
|---|---|---|
| LMArena Longer Query | 1454 | — |

## Writing & Preference

- Grok 4.6: 62.3 (#80)
- Llama 13b: 13.8 (#312)

| Benchmark | Grok 4.6 | Llama 13b |
|---|---|---|
| LMArena Text | 1428 | 834 |
| LMArena Creative Writing | 1428 | 794 |
| LMArena Multi-Turn | 1425 | 753 |

## FAQ

### Is Grok 4.6 better than Llama 13b?

Grok 4.6 is the stronger model overall, scoring 56.9 to 24.4 on the Noometry Index.

### Is Grok 4.6 or Llama 13b better for coding?

Grok 4.6 scores higher on coding benchmarks: 58.5 versus 21.4 in the Noometry coding category.

### How many benchmarks do Grok 4.6 and Llama 13b share?

9 benchmarks have published results for both models. Grok 4.6 has 49 scored results on Noometry and Llama 13b has 21.