# Grok 4.20 Multi-Agent vs Llama 4 Maverick

> Grok 4.20 Multi-Agent is the stronger model overall, scoring 45.5 to 30.6 on the Noometry Index. Llama 4 Maverick costs 5.1× 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-4-maverick
- Last updated: 2026-10-10
- Shared benchmarks: 19

## Summary

- They share 19 benchmarks with published results for both. Grok 4.20 Multi-Agent scores higher in 9 categories and Llama 4 Maverick in 0 categories; 9 gaps are clear of the uncertainty.
- The widest gap is in reasoning, where Grok 4.20 Multi-Agent leads 42.4 to 10.1.
- The biggest single-benchmark swing is NYT Connections (extended): 89.6% for Grok 4.20 Multi-Agent and 8% for Llama 4 Maverick.
- Llama 4 Maverick is cheaper at $0.19 / $0.65 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 128K.
- Llama 4 Maverick has downloadable open weights; the other is API-only.

## Snapshot

| | Grok 4.20 Multi-Agent | Llama 4 Maverick |
|---|---|---|
| Provider | xAI | Meta |
| Noometry Index | 45.5 | 30.6 |
| Rank | 62 | 276 |
| Context | 1M | 128K |
| Input $/M | $1.25 | $0.19 |
| Output $/M | $2.50 | $0.65 |
| Weights | Proprietary | Open |

## Coding

- Grok 4.20 Multi-Agent: 42.4 (#91)
- Llama 4 Maverick: 26.3 (#318)

| Benchmark | Grok 4.20 Multi-Agent | Llama 4 Maverick |
|---|---|---|
| LMArena Coding | 1458 | 1302 |
| SWE-bench Verified (bash only) | — | 21% |
| Aider Polyglot | — | 15.6% |
| SciCode | — | 33.1% |
| WeirdML | — | 24.5% |
| BigCodeBench Instruct | — | 49.7% |
| BigCodeBench Complete | — | 61.4% |
| ALE-Bench | — | 172.97 |

## Agentic & Tool Use

- Grok 4.20 Multi-Agent: —
- Llama 4 Maverick: 27.9 (#86)

| Benchmark | Grok 4.20 Multi-Agent | Llama 4 Maverick |
|---|---|---|
| Berkeley Function Calling Leaderboard | — | 37.3% |
| LMArena Search | 1204 | — |

## Reasoning

- Grok 4.20 Multi-Agent: 42.4 (#44)
- Llama 4 Maverick: 10.1 (#337)

| Benchmark | Grok 4.20 Multi-Agent | Llama 4 Maverick |
|---|---|---|
| NYT Connections (extended) | 89.6% | 8% |
| LMArena Hard Prompts | 1448 | 1281 |
| ARC-AGI-2 | — | 0% |
| SimpleBench | — | 27.7% |
| Kagi LLM Benchmark | — | 55.9% |
| ARC-AGI-1 | — | 4.4% |
| CritPt | — | 0% |
| EnigmaEval | — | 0.6% |
| DTBench | — | 61.9% |
| LMCA | — | 15.9% |
| Epoch Capabilities Index | — | 132.2 |
| ForecastBench | — | 57.5 |

## Math

- Grok 4.20 Multi-Agent: 36.6 (#106)
- Llama 4 Maverick: 24.6 (#256)

| Benchmark | Grok 4.20 Multi-Agent | Llama 4 Maverick |
|---|---|---|
| LMArena Math | 1441 | 1299 |
| OTIS Mock AIME 2024-2025 | — | 20.6% |
| Omni-MATH | — | 42.2% |
| MATH Level 5 | — | 73% |
| FrontierMath (Feb 2025 set) | — | 0.7% |

## Knowledge

- Grok 4.20 Multi-Agent: 39.7 (#116)
- Llama 4 Maverick: 33.3 (#196)

| Benchmark | Grok 4.20 Multi-Agent | Llama 4 Maverick |
|---|---|---|
| LMArena Expert | 1445 | 1259 |
| GPQA Diamond | — | 67% |
| Humanity's Last Exam | — | 5.7% |
| MMLU-Pro | — | 81% |
| Confabulations | — | 22.6% |
| Vectara Hallucination Rate | — | 8.2% |
| GPQA (HELM) | — | 65% |

## Multimodal

- Grok 4.20 Multi-Agent: 39.8 (#44)
- Llama 4 Maverick: 30.9 (#100)

| Benchmark | Grok 4.20 Multi-Agent | Llama 4 Maverick |
|---|---|---|
| LMArena Vision | 1259 | 1141 |
| GeoBench | — | 52% |
| SpatialViz-Bench | — | 31.8% |

## Multilingual

- Grok 4.20 Multi-Agent: 54.6 (#40)
- Llama 4 Maverick: 42.4 (#190)

| Benchmark | Grok 4.20 Multi-Agent | Llama 4 Maverick |
|---|---|---|
| LMArena Non-English | 1440 | 1269 |
| LMArena Chinese | 1475 | 1277 |
| LMArena French | 1467 | 1258 |
| LMArena German | 1456 | 1291 |
| LMArena Japanese | 1405 | 1207 |
| LMArena Korean | 1416 | 1203 |
| LMArena Russian | 1457 | 1286 |
| LMArena Spanish | 1447 | 1293 |

## Instruction Following

- Grok 4.20 Multi-Agent: 75.0 (#80)
- Llama 4 Maverick: 71.9 (#140)

| Benchmark | Grok 4.20 Multi-Agent | Llama 4 Maverick |
|---|---|---|
| LMArena Instruction Following | 1420 | 1267 |
| IFEval | — | 90.8% |

## Long Context

- Grok 4.20 Multi-Agent: 43.7 (#84)
- Llama 4 Maverick: 31.4 (#274)

| Benchmark | Grok 4.20 Multi-Agent | Llama 4 Maverick |
|---|---|---|
| LMArena Longer Query | 1430 | 1280 |
| Fiction.LiveBench | — | 46.2% |

## Writing & Preference

- Grok 4.20 Multi-Agent: 64.1 (#57)
- Llama 4 Maverick: 39.0 (#247)

| Benchmark | Grok 4.20 Multi-Agent | Llama 4 Maverick |
|---|---|---|
| LMArena Text | 1450 | 1287 |
| LMArena Creative Writing | 1435 | 1266 |
| LMArena Multi-Turn | 1451 | 1289 |
| Short-Story Creative Writing | — | 62% |
| EQ-Bench Creative Writing | — | 860 |
| WildBench | — | 80% |

## FAQ

### Is Grok 4.20 Multi-Agent better than Llama 4 Maverick?

Grok 4.20 Multi-Agent is the stronger model overall, scoring 45.5 to 30.6 on the Noometry Index. Llama 4 Maverick costs 5.1× 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 4 Maverick?

Llama 4 Maverick is cheaper. It lists at $0.19 per million input tokens and $0.65 per million output tokens; Grok 4.20 Multi-Agent lists at $1.25 and $2.50.

### Is Grok 4.20 Multi-Agent or Llama 4 Maverick better for coding?

Grok 4.20 Multi-Agent scores higher on coding benchmarks: 42.4 versus 26.3 in the Noometry coding category.

### Which has the bigger context window?

Grok 4.20 Multi-Agent does, with 1M tokens against 128K.

### How many benchmarks do Grok 4.20 Multi-Agent and Llama 4 Maverick share?

19 benchmarks have published results for both models. Grok 4.20 Multi-Agent has 20 scored results on Noometry and Llama 4 Maverick has 54.