# Grok 4.20 Multi-Agent vs Llama 13b

> Grok 4.20 Multi-Agent is the stronger model overall, scoring 46.2 to 24.4 on the Noometry Index.

- Canonical page: https://noometry.com/compare/grok-4-20-multi-agent-vs-llama-13b
- Last updated: 2026-10-10
- Shared benchmarks: 8

## Summary

- They share 8 benchmarks with published results for both. Grok 4.20 Multi-Agent 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 4.20 Multi-Agent leads 64.0 to 13.8.
- Llama 13b has downloadable open weights; the other is API-only.

## Snapshot

| | Grok 4.20 Multi-Agent | Llama 13b |
|---|---|---|
| Provider | xAI | Meta |
| Noometry Index | 46.2 | 24.4 |
| Rank | 65 | 348 |
| Context | 1M | — |
| Input $/M | $1.25 | — |
| Output $/M | $2.50 | — |
| Weights | Proprietary | Open |

## Coding

- Grok 4.20 Multi-Agent: 43.0 (#92)
- Llama 13b: 21.4 (#337)

| Benchmark | Grok 4.20 Multi-Agent | Llama 13b |
|---|---|---|
| LMArena Coding | 1457 | 683 |

## Agentic & Tool Use

- Grok 4.20 Multi-Agent: —
- Llama 13b: —

| Benchmark | Grok 4.20 Multi-Agent | Llama 13b |
|---|---|---|
| LMArena Search | 1204 | — |

## Reasoning

- Grok 4.20 Multi-Agent: 43.9 (#48)
- Llama 13b: 14.0 (#329)

| Benchmark | Grok 4.20 Multi-Agent | Llama 13b |
|---|---|---|
| LMArena Hard Prompts | 1448 | 728 |
| NYT Connections (extended) | 89.6% | — |
| BIG-Bench Hard | — | 37.9% |
| Epoch Capabilities Index | — | 100.58 |
| HellaSwag | — | 79.2% |
| LAMBADA | — | 75.2% |
| PIQA | — | 80.1% |
| WinoGrande | — | 73% |

## Math

- Grok 4.20 Multi-Agent: 39.4 (#104)
- Llama 13b: 26.7 (#256)

| Benchmark | Grok 4.20 Multi-Agent | Llama 13b |
|---|---|---|
| LMArena Math | 1442 | 838 |
| GSM8K | — | 20.6% |

## Knowledge

- Grok 4.20 Multi-Agent: 40.4 (#119)
- Llama 13b: —

| Benchmark | Grok 4.20 Multi-Agent | Llama 13b |
|---|---|---|
| LMArena Expert | 1445 | — |
| ARC (AI2) Challenge | — | 52.7% |
| BoolQ | — | 78.7% |
| MMLU | — | 47.7% |
| OpenBookQA | — | 56.4% |
| TriviaQA | — | 77.9% |

## Multimodal

- Grok 4.20 Multi-Agent: 40.5 (#48)
- Llama 13b: —

| Benchmark | Grok 4.20 Multi-Agent | Llama 13b |
|---|---|---|
| LMArena Vision | 1259 | — |
| ScienceQA | — | 43.3% |

## Multilingual

- Grok 4.20 Multi-Agent: 54.4 (#43)
- Llama 13b: 16.6 (#297)

| Benchmark | Grok 4.20 Multi-Agent | Llama 13b |
|---|---|---|
| LMArena Non-English | 1440 | 819 |
| LMArena Chinese | 1475 | — |
| LMArena French | 1466 | — |
| LMArena German | 1456 | — |
| LMArena Japanese | 1405 | — |
| LMArena Korean | 1416 | — |
| LMArena Russian | 1457 | — |
| LMArena Spanish | 1447 | — |

## Instruction Following

- Grok 4.20 Multi-Agent: 74.8 (#84)
- Llama 13b: 36.7 (#305)

| Benchmark | Grok 4.20 Multi-Agent | Llama 13b |
|---|---|---|
| LMArena Instruction Following | 1420 | 781 |

## Long Context

- Grok 4.20 Multi-Agent: 43.7 (#88)
- Llama 13b: —

| Benchmark | Grok 4.20 Multi-Agent | Llama 13b |
|---|---|---|
| LMArena Longer Query | 1431 | — |

## Writing & Preference

- Grok 4.20 Multi-Agent: 64.0 (#59)
- Llama 13b: 13.8 (#312)

| Benchmark | Grok 4.20 Multi-Agent | Llama 13b |
|---|---|---|
| LMArena Text | 1450 | 834 |
| LMArena Creative Writing | 1436 | 794 |
| LMArena Multi-Turn | 1452 | 753 |

## FAQ

### Is Grok 4.20 Multi-Agent better than Llama 13b?

Grok 4.20 Multi-Agent is the stronger model overall, scoring 46.2 to 24.4 on the Noometry Index.

### Is Grok 4.20 Multi-Agent or Llama 13b better for coding?

Grok 4.20 Multi-Agent scores higher on coding benchmarks: 43.0 versus 21.4 in the Noometry coding category.

### How many benchmarks do Grok 4.20 Multi-Agent and Llama 13b share?

8 benchmarks have published results for both models. Grok 4.20 Multi-Agent has 20 scored results on Noometry and Llama 13b has 21.