# Grok 4.20 Multi-Agent vs Llama 2-70B

> Grok 4.20 Multi-Agent is the stronger model overall, scoring 45.5 to 24.1 on the Noometry Index.

- Canonical page: https://noometry.com/compare/grok-4-20-multi-agent-vs-llama-2-70b
- 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 2-70B in 0 categories; 8 gaps are clear of the uncertainty.
- The widest gap is in knowledge, where Grok 4.20 Multi-Agent leads 39.7 to 7.4.
- Llama 2-70B has downloadable open weights; the other is API-only.

## Snapshot

| | Grok 4.20 Multi-Agent | Llama 2-70B |
|---|---|---|
| Provider | xAI | Meta |
| Noometry Index | 45.5 | 24.1 |
| Rank | 62 | 343 |
| Context | 1M | — |
| Input $/M | $1.25 | — |
| Output $/M | $2.50 | — |
| Weights | Proprietary | Open |

## Coding

- Grok 4.20 Multi-Agent: 42.4 (#91)
- Llama 2-70B: 30.8 (#281)

| Benchmark | Grok 4.20 Multi-Agent | Llama 2-70B |
|---|---|---|
| LMArena Coding | 1458 | 1079 |

## Agentic & Tool Use

- Grok 4.20 Multi-Agent: —
- Llama 2-70B: —

| Benchmark | Grok 4.20 Multi-Agent | Llama 2-70B |
|---|---|---|
| LMArena Search | 1204 | — |

## Reasoning

- Grok 4.20 Multi-Agent: 42.4 (#44)
- Llama 2-70B: 13.7 (#324)

| Benchmark | Grok 4.20 Multi-Agent | Llama 2-70B |
|---|---|---|
| LMArena Hard Prompts | 1448 | 1073 |
| NYT Connections (extended) | 89.6% | — |
| DTBench | — | 41.6% |
| BIG-Bench Hard | — | 64.9% |
| CommonsenseQA 2.0 | — | 50% |
| Epoch Capabilities Index | — | 113.59 |
| ForecastBench | — | 51.4 |
| HellaSwag | — | 85.3% |
| LAMBADA | — | 78.9% |
| PIQA | — | 82.8% |
| WinoGrande | — | 80.2% |

## Math

- Grok 4.20 Multi-Agent: 36.6 (#106)
- Llama 2-70B: 7.5 (#320)

| Benchmark | Grok 4.20 Multi-Agent | Llama 2-70B |
|---|---|---|
| LMArena Math | 1441 | 1091 |
| OTIS Mock AIME 2024-2025 | — | 0% |
| MATH Level 5 | — | 3.3% |
| GSM8K | — | 69.6% |

## Knowledge

- Grok 4.20 Multi-Agent: 39.7 (#116)
- Llama 2-70B: 7.4 (#305)

| Benchmark | Grok 4.20 Multi-Agent | Llama 2-70B |
|---|---|---|
| LMArena Expert | 1445 | 1039 |
| GPQA Diamond | — | 26.3% |
| ARC (AI2) Challenge | — | 78.3% |
| BoolQ | — | 88.6% |
| MMLU | — | 69.9% |
| OpenBookQA | — | 60.2% |
| TriviaQA | — | 87.6% |

## Multimodal

- Grok 4.20 Multi-Agent: 39.8 (#44)
- Llama 2-70B: —

| Benchmark | Grok 4.20 Multi-Agent | Llama 2-70B |
|---|---|---|
| LMArena Vision | 1259 | — |

## Multilingual

- Grok 4.20 Multi-Agent: 54.6 (#40)
- Llama 2-70B: 27.9 (#269)

| Benchmark | Grok 4.20 Multi-Agent | Llama 2-70B |
|---|---|---|
| LMArena Non-English | 1440 | 1045 |
| LMArena Chinese | 1475 | 994 |
| LMArena French | 1467 | 1089 |
| LMArena German | 1456 | 1041 |
| LMArena Japanese | 1405 | 927 |
| LMArena Korean | 1416 | 964 |
| LMArena Russian | 1457 | 1083 |
| LMArena Spanish | 1447 | 1142 |

## Instruction Following

- Grok 4.20 Multi-Agent: 75.0 (#80)
- Llama 2-70B: 55.1 (#273)

| Benchmark | Grok 4.20 Multi-Agent | Llama 2-70B |
|---|---|---|
| LMArena Instruction Following | 1420 | 1071 |

## Long Context

- Grok 4.20 Multi-Agent: 43.7 (#84)
- Llama 2-70B: 32.2 (#265)

| Benchmark | Grok 4.20 Multi-Agent | Llama 2-70B |
|---|---|---|
| LMArena Longer Query | 1430 | 1062 |

## Writing & Preference

- Grok 4.20 Multi-Agent: 64.1 (#57)
- Llama 2-70B: 32.5 (#274)

| Benchmark | Grok 4.20 Multi-Agent | Llama 2-70B |
|---|---|---|
| LMArena Text | 1450 | 1115 |
| LMArena Creative Writing | 1435 | 1075 |
| LMArena Multi-Turn | 1451 | 1088 |

## FAQ

### Is Grok 4.20 Multi-Agent better than Llama 2-70B?

Grok 4.20 Multi-Agent is the stronger model overall, scoring 45.5 to 24.1 on the Noometry Index.

### Is Grok 4.20 Multi-Agent or Llama 2-70B better for coding?

Grok 4.20 Multi-Agent scores higher on coding benchmarks: 42.4 versus 30.8 in the Noometry coding category.

### How many benchmarks do Grok 4.20 Multi-Agent and Llama 2-70B share?

17 benchmarks have published results for both models. Grok 4.20 Multi-Agent has 20 scored results on Noometry and Llama 2-70B has 35.