# Grok 4.20 Multi-Agent vs Llama 3.2 90B

> Grok 4.20 Multi-Agent is the stronger model overall, scoring 46.2 to 27.5 on the Noometry Index.

- Canonical page: https://noometry.com/compare/grok-4-20-multi-agent-vs-llama-3-2-90b
- Last updated: 2026-10-12
- Shared benchmarks: 1

## Summary

- They share 1 benchmark with published results for both. Grok 4.20 Multi-Agent scores higher in 4 categories and Llama 3.2 90B in 0 categories; 4 gaps are clear of the uncertainty.
- The widest gap is in math, where Grok 4.20 Multi-Agent leads 39.4 to 11.1.
- Llama 3.2 90B has downloadable open weights; the other is API-only.

## Snapshot

| | Grok 4.20 Multi-Agent | Llama 3.2 90B |
|---|---|---|
| Provider | xAI | Meta |
| Noometry Index | 46.2 | 27.5 |
| Rank | 65 | 331 |
| Context | 1M | — |
| Input $/M | $1.25 | — |
| Output $/M | $2.50 | — |
| Weights | Proprietary | Open |

## Coding

- Grok 4.20 Multi-Agent: 43.0 (#92)
- Llama 3.2 90B: —

| Benchmark | Grok 4.20 Multi-Agent | Llama 3.2 90B |
|---|---|---|
| LMArena Coding | 1457 | — |

## Agentic & Tool Use

- Grok 4.20 Multi-Agent: —
- Llama 3.2 90B: 30.0 (#80)

| Benchmark | Grok 4.20 Multi-Agent | Llama 3.2 90B |
|---|---|---|
| BALROG | — | 27.3% |
| LMArena Search | 1204 | — |

## Reasoning

- Grok 4.20 Multi-Agent: 43.9 (#48)
- Llama 3.2 90B: 21.7 (#217)

| Benchmark | Grok 4.20 Multi-Agent | Llama 3.2 90B |
|---|---|---|
| NYT Connections (extended) | 89.6% | — |
| EnigmaEval | — | 0.4% |
| LMArena Hard Prompts | 1448 | — |
| Epoch Capabilities Index | — | 125.5 |

## Math

- Grok 4.20 Multi-Agent: 39.4 (#104)
- Llama 3.2 90B: 11.1 (#308)

| Benchmark | Grok 4.20 Multi-Agent | Llama 3.2 90B |
|---|---|---|
| OTIS Mock AIME 2024-2025 | — | 2.6% |
| LMArena Math | 1442 | — |
| MATH Level 5 | — | 39.4% |

## Knowledge

- Grok 4.20 Multi-Agent: 40.4 (#119)
- Llama 3.2 90B: 21.7 (#274)

| Benchmark | Grok 4.20 Multi-Agent | Llama 3.2 90B |
|---|---|---|
| GPQA Diamond | — | 41% |
| LMArena Expert | 1445 | — |
| MMLU | — | 80.3% |

## Multimodal

- Grok 4.20 Multi-Agent: 40.5 (#48)
- Llama 3.2 90B: 25.4 (#124)

| Benchmark | Grok 4.20 Multi-Agent | Llama 3.2 90B |
|---|---|---|
| LMArena Vision | 1259 | 1000 |
| GeoBench | — | 52% |

## Multilingual

- Grok 4.20 Multi-Agent: 54.4 (#43)
- Llama 3.2 90B: —

| Benchmark | Grok 4.20 Multi-Agent | Llama 3.2 90B |
|---|---|---|
| LMArena Non-English | 1440 | — |
| 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 3.2 90B: —

| Benchmark | Grok 4.20 Multi-Agent | Llama 3.2 90B |
|---|---|---|
| LMArena Instruction Following | 1420 | — |

## Long Context

- Grok 4.20 Multi-Agent: 43.7 (#88)
- Llama 3.2 90B: —

| Benchmark | Grok 4.20 Multi-Agent | Llama 3.2 90B |
|---|---|---|
| LMArena Longer Query | 1431 | — |

## Writing & Preference

- Grok 4.20 Multi-Agent: 64.0 (#59)
- Llama 3.2 90B: —

| Benchmark | Grok 4.20 Multi-Agent | Llama 3.2 90B |
|---|---|---|
| LMArena Text | 1450 | — |
| LMArena Creative Writing | 1436 | — |
| LMArena Multi-Turn | 1452 | — |

## FAQ

### Is Grok 4.20 Multi-Agent better than Llama 3.2 90B?

Grok 4.20 Multi-Agent is the stronger model overall, scoring 46.2 to 27.5 on the Noometry Index.

### How many benchmarks do Grok 4.20 Multi-Agent and Llama 3.2 90B share?

1 benchmark has published results for both models. Grok 4.20 Multi-Agent has 20 scored results on Noometry and Llama 3.2 90B has 9.