# Grok 4.20 Multi-Agent vs Llama 3.2 1B

> Grok 4.20 Multi-Agent is the stronger model overall, scoring 46.2 to 20.1 on the Noometry Index. Llama 3.2 1B costs 22× less per token, which makes it the better buy when Grok 4.20 Multi-Agent's lead doesn't matter for your workload.

- Canonical page: https://noometry.com/compare/grok-4-20-multi-agent-vs-llama-3-2-1b
- Last updated: 2026-10-10
- Shared benchmarks: 13

## Summary

- They share 13 benchmarks with published results for both. Grok 4.20 Multi-Agent scores higher in 8 categories and Llama 3.2 1B in 0 categories; 8 gaps are clear of the uncertainty.
- The widest gap is in writing & preference, where Grok 4.20 Multi-Agent leads 64.0 to 21.3.
- Llama 3.2 1B is cheaper at $0.027 / $0.20 per million input/output tokens, against $1.25 / $2.50 for Grok 4.20 Multi-Agent.
- Grok 4.20 Multi-Agent accepts more context: 1M tokens versus 60K.
- Llama 3.2 1B has downloadable open weights; the other is API-only.

## Snapshot

| | Grok 4.20 Multi-Agent | Llama 3.2 1B |
|---|---|---|
| Provider | xAI | Meta |
| Noometry Index | 46.2 | 20.1 |
| Rank | 65 | 354 |
| Context | 1M | 60K |
| Input $/M | $1.25 | $0.027 |
| Output $/M | $2.50 | $0.20 |
| Weights | Proprietary | Open |

## Coding

- Grok 4.20 Multi-Agent: 43.0 (#92)
- Llama 3.2 1B: 21.1 (#338)

| Benchmark | Grok 4.20 Multi-Agent | Llama 3.2 1B |
|---|---|---|
| LMArena Coding | 1457 | 1070 |
| BigCodeBench Instruct | — | 8.2% |
| BigCodeBench Complete | — | 11.3% |

## Agentic & Tool Use

- Grok 4.20 Multi-Agent: —
- Llama 3.2 1B: 14.6 (#150)

| Benchmark | Grok 4.20 Multi-Agent | Llama 3.2 1B |
|---|---|---|
| Berkeley Function Calling Leaderboard | — | 10.8% |
| BALROG | — | 6.6% |
| LMArena Search | 1204 | — |

## Reasoning

- Grok 4.20 Multi-Agent: 43.9 (#48)
- Llama 3.2 1B: 16.2 (#308)

| Benchmark | Grok 4.20 Multi-Agent | Llama 3.2 1B |
|---|---|---|
| LMArena Hard Prompts | 1448 | 1044 |
| NYT Connections (extended) | 89.6% | — |
| Chess Puzzles | — | 0% |
| Epoch Capabilities Index | — | 101.99 |

## Math

- Grok 4.20 Multi-Agent: 39.4 (#104)
- Llama 3.2 1B: 10.4 (#313)

| Benchmark | Grok 4.20 Multi-Agent | Llama 3.2 1B |
|---|---|---|
| LMArena Math | 1442 | 1086 |
| OTIS Mock AIME 2024-2025 | — | 0.6% |

## Knowledge

- Grok 4.20 Multi-Agent: 40.4 (#119)
- Llama 3.2 1B: 7.2 (#312)

| Benchmark | Grok 4.20 Multi-Agent | Llama 3.2 1B |
|---|---|---|
| LMArena Expert | 1445 | 1007 |
| GPQA Diamond | — | 23.9% |

## Multimodal

- Grok 4.20 Multi-Agent: 40.5 (#48)
- Llama 3.2 1B: —

| Benchmark | Grok 4.20 Multi-Agent | Llama 3.2 1B |
|---|---|---|
| LMArena Vision | 1259 | — |

## Multilingual

- Grok 4.20 Multi-Agent: 54.4 (#43)
- Llama 3.2 1B: 23.8 (#292)

| Benchmark | Grok 4.20 Multi-Agent | Llama 3.2 1B |
|---|---|---|
| LMArena Non-English | 1440 | 973 |
| LMArena Chinese | 1475 | 959 |
| LMArena German | 1456 | 1014 |
| LMArena Russian | 1457 | 941 |
| LMArena French | 1466 | — |
| LMArena Japanese | 1405 | — |
| LMArena Korean | 1416 | — |
| LMArena Spanish | 1447 | — |

## Instruction Following

- Grok 4.20 Multi-Agent: 74.8 (#84)
- Llama 3.2 1B: 52.4 (#290)

| Benchmark | Grok 4.20 Multi-Agent | Llama 3.2 1B |
|---|---|---|
| LMArena Instruction Following | 1420 | 1031 |

## Long Context

- Grok 4.20 Multi-Agent: 43.7 (#88)
- Llama 3.2 1B: 31.9 (#274)

| Benchmark | Grok 4.20 Multi-Agent | Llama 3.2 1B |
|---|---|---|
| LMArena Longer Query | 1431 | 1050 |

## Writing & Preference

- Grok 4.20 Multi-Agent: 64.0 (#59)
- Llama 3.2 1B: 21.3 (#310)

| Benchmark | Grok 4.20 Multi-Agent | Llama 3.2 1B |
|---|---|---|
| LMArena Text | 1450 | 1055 |
| LMArena Creative Writing | 1436 | 1033 |
| LMArena Multi-Turn | 1452 | 1030 |
| EQ-Bench Creative Writing | — | 200 |

## FAQ

### Is Grok 4.20 Multi-Agent better than Llama 3.2 1B?

Grok 4.20 Multi-Agent is the stronger model overall, scoring 46.2 to 20.1 on the Noometry Index. Llama 3.2 1B costs 22× less per token, which makes it the better buy when Grok 4.20 Multi-Agent's lead doesn't matter for your workload.

### Which is cheaper, Grok 4.20 Multi-Agent or Llama 3.2 1B?

Llama 3.2 1B is cheaper. It lists at $0.027 per million input tokens and $0.20 per million output tokens; Grok 4.20 Multi-Agent lists at $1.25 and $2.50.

### Is Grok 4.20 Multi-Agent or Llama 3.2 1B better for coding?

Grok 4.20 Multi-Agent scores higher on coding benchmarks: 43.0 versus 21.1 in the Noometry coding category.

### Which has the bigger context window?

Grok 4.20 Multi-Agent does, with 1M tokens against 60K.

### How many benchmarks do Grok 4.20 Multi-Agent and Llama 3.2 1B share?

13 benchmarks have published results for both models. Grok 4.20 Multi-Agent has 20 scored results on Noometry and Llama 3.2 1B has 22.