# Grok 4.20 Multi-Agent vs Llama 2-13B

> Grok 4.20 Multi-Agent is the stronger model overall, scoring 45.5 to 29.1 on the Noometry Index.

- Canonical page: https://noometry.com/compare/grok-4-20-multi-agent-vs-llama-2-13b
- Last updated: 2026-10-10
- Shared benchmarks: 17

## Summary

- They share 17 benchmarks with published results for both. Grok 4.20 Multi-Agent scores higher in 8 categories and Llama 2-13B in 0 categories; 8 gaps are clear of the uncertainty.
- The widest gap is in writing & preference, where Grok 4.20 Multi-Agent leads 64.1 to 30.0.
- Llama 2-13B has downloadable open weights; the other is API-only.

## Snapshot

| | Grok 4.20 Multi-Agent | Llama 2-13B |
|---|---|---|
| Provider | xAI | Meta |
| Noometry Index | 45.5 | 29.1 |
| Rank | 62 | 304 |
| Context | 1M | — |
| Input $/M | $1.25 | — |
| Output $/M | $2.50 | — |
| Weights | Proprietary | Open |

## Coding

- Grok 4.20 Multi-Agent: 42.4 (#91)
- Llama 2-13B: 30.4 (#287)

| Benchmark | Grok 4.20 Multi-Agent | Llama 2-13B |
|---|---|---|
| LMArena Coding | 1458 | 1062 |

## Agentic & Tool Use

- Grok 4.20 Multi-Agent: —
- Llama 2-13B: —

| Benchmark | Grok 4.20 Multi-Agent | Llama 2-13B |
|---|---|---|
| LMArena Search | 1204 | — |

## Reasoning

- Grok 4.20 Multi-Agent: 42.4 (#44)
- Llama 2-13B: 12.3 (#333)

| Benchmark | Grok 4.20 Multi-Agent | Llama 2-13B |
|---|---|---|
| LMArena Hard Prompts | 1448 | 1051 |
| NYT Connections (extended) | 89.6% | — |
| Chess Puzzles | — | 0% |
| DTBench | — | 42.2% |
| BIG-Bench Hard | — | 58.2% |
| Epoch Capabilities Index | — | 105.8 |
| HellaSwag | — | 80.7% |
| LAMBADA | — | 76.5% |
| PIQA | — | 80.8% |
| WinoGrande | — | 72.8% |

## Math

- Grok 4.20 Multi-Agent: 36.6 (#106)
- Llama 2-13B: 28.7 (#226)

| Benchmark | Grok 4.20 Multi-Agent | Llama 2-13B |
|---|---|---|
| LMArena Math | 1441 | 1065 |
| GSM8K | — | 36.9% |

## Knowledge

- Grok 4.20 Multi-Agent: 39.7 (#116)
- Llama 2-13B: 27.5 (#244)

| Benchmark | Grok 4.20 Multi-Agent | Llama 2-13B |
|---|---|---|
| LMArena Expert | 1445 | 1030 |
| ARC (AI2) Challenge | — | 60.3% |
| BoolQ | — | 82.4% |
| MMLU | — | 55.6% |
| OpenBookQA | — | 57% |
| TriviaQA | — | 79.6% |

## Multimodal

- Grok 4.20 Multi-Agent: 39.8 (#44)
- Llama 2-13B: —

| Benchmark | Grok 4.20 Multi-Agent | Llama 2-13B |
|---|---|---|
| LMArena Vision | 1259 | — |
| ScienceQA | — | 55.8% |

## Multilingual

- Grok 4.20 Multi-Agent: 54.6 (#40)
- Llama 2-13B: 26.7 (#274)

| Benchmark | Grok 4.20 Multi-Agent | Llama 2-13B |
|---|---|---|
| LMArena Non-English | 1440 | 1024 |
| LMArena Chinese | 1475 | 1001 |
| LMArena French | 1467 | 1043 |
| LMArena German | 1456 | 1009 |
| LMArena Japanese | 1405 | 894 |
| LMArena Korean | 1416 | 953 |
| LMArena Russian | 1457 | 1055 |
| LMArena Spanish | 1447 | 1086 |

## Instruction Following

- Grok 4.20 Multi-Agent: 75.0 (#80)
- Llama 2-13B: 53.5 (#282)

| Benchmark | Grok 4.20 Multi-Agent | Llama 2-13B |
|---|---|---|
| LMArena Instruction Following | 1420 | 1046 |

## Long Context

- Grok 4.20 Multi-Agent: 43.7 (#84)
- Llama 2-13B: 32.3 (#264)

| Benchmark | Grok 4.20 Multi-Agent | Llama 2-13B |
|---|---|---|
| LMArena Longer Query | 1430 | 1064 |

## Writing & Preference

- Grok 4.20 Multi-Agent: 64.1 (#57)
- Llama 2-13B: 30.0 (#284)

| Benchmark | Grok 4.20 Multi-Agent | Llama 2-13B |
|---|---|---|
| LMArena Text | 1450 | 1085 |
| LMArena Creative Writing | 1435 | 1047 |
| LMArena Multi-Turn | 1451 | 1050 |

## FAQ

### Is Grok 4.20 Multi-Agent better than Llama 2-13B?

Grok 4.20 Multi-Agent is the stronger model overall, scoring 45.5 to 29.1 on the Noometry Index.

### Is Grok 4.20 Multi-Agent or Llama 2-13B better for coding?

Grok 4.20 Multi-Agent scores higher on coding benchmarks: 42.4 versus 30.4 in the Noometry coding category.

### How many benchmarks do Grok 4.20 Multi-Agent and Llama 2-13B share?

17 benchmarks have published results for both models. Grok 4.20 Multi-Agent has 20 scored results on Noometry and Llama 2-13B has 32.