# Grok 4.20 Multi-Agent vs phi-3-medium 14B

> Grok 4.20 Multi-Agent is the stronger model overall, scoring 46.2 to 29.7 on the Noometry Index.

- Canonical page: https://noometry.com/compare/grok-4-20-multi-agent-vs-phi-3-medium-14b
- Last updated: 2026-10-11
- Shared benchmarks: 0

## Summary

- The widest gap is in knowledge, where Grok 4.20 Multi-Agent leads 40.4 to 9.1.
- phi-3-medium 14B has downloadable open weights; the other is API-only.

## Snapshot

| | Grok 4.20 Multi-Agent | phi-3-medium 14B |
|---|---|---|
| Provider | xAI | Microsoft |
| Noometry Index | 46.2 | 29.7 |
| Rank | 65 | 306 |
| Context | 1M | — |
| Input $/M | $1.25 | — |
| Output $/M | $2.50 | — |
| Weights | Proprietary | Open |

## Coding

- Grok 4.20 Multi-Agent: 43.0 (#92)
- phi-3-medium 14B: 36.8 (#201)

| Benchmark | Grok 4.20 Multi-Agent | phi-3-medium 14B |
|---|---|---|
| BigCodeBench Instruct | — | 37.6% |
| LMArena Coding | 1457 | — |
| BigCodeBench Complete | — | 48.7% |

## Agentic & Tool Use

- Grok 4.20 Multi-Agent: —
- phi-3-medium 14B: —

| Benchmark | Grok 4.20 Multi-Agent | phi-3-medium 14B |
|---|---|---|
| LMArena Search | 1204 | — |

## Reasoning

- Grok 4.20 Multi-Agent: 43.9 (#48)
- phi-3-medium 14B: —

| Benchmark | Grok 4.20 Multi-Agent | phi-3-medium 14B |
|---|---|---|
| NYT Connections (extended) | 89.6% | — |
| LMArena Hard Prompts | 1448 | — |
| Adversarial NLI | — | 55.8% |
| BIG-Bench Hard | — | 81.4% |
| Epoch Capabilities Index | — | 121.23 |
| HellaSwag | — | 82.4% |
| WinoGrande | — | 81.5% |

## Math

- Grok 4.20 Multi-Agent: 39.4 (#104)
- phi-3-medium 14B: 27.3 (#250)

| Benchmark | Grok 4.20 Multi-Agent | phi-3-medium 14B |
|---|---|---|
| LMArena Math | 1442 | — |
| MATH Level 5 | — | 17.6% |

## Knowledge

- Grok 4.20 Multi-Agent: 40.4 (#119)
- phi-3-medium 14B: 9.1 (#306)

| Benchmark | Grok 4.20 Multi-Agent | phi-3-medium 14B |
|---|---|---|
| GPQA Diamond | — | 27.6% |
| LMArena Expert | 1445 | — |
| ARC (AI2) Challenge | — | 91.6% |
| MMLU | — | 78% |
| OpenBookQA | — | 87.4% |
| TriviaQA | — | 73.9% |

## Multimodal

- Grok 4.20 Multi-Agent: 40.5 (#48)
- phi-3-medium 14B: —

| Benchmark | Grok 4.20 Multi-Agent | phi-3-medium 14B |
|---|---|---|
| LMArena Vision | 1259 | — |

## Multilingual

- Grok 4.20 Multi-Agent: 54.4 (#43)
- phi-3-medium 14B: —

| Benchmark | Grok 4.20 Multi-Agent | phi-3-medium 14B |
|---|---|---|
| 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)
- phi-3-medium 14B: —

| Benchmark | Grok 4.20 Multi-Agent | phi-3-medium 14B |
|---|---|---|
| LMArena Instruction Following | 1420 | — |

## Long Context

- Grok 4.20 Multi-Agent: 43.7 (#88)
- phi-3-medium 14B: —

| Benchmark | Grok 4.20 Multi-Agent | phi-3-medium 14B |
|---|---|---|
| LMArena Longer Query | 1431 | — |

## Writing & Preference

- Grok 4.20 Multi-Agent: 64.0 (#59)
- phi-3-medium 14B: —

| Benchmark | Grok 4.20 Multi-Agent | phi-3-medium 14B |
|---|---|---|
| LMArena Text | 1450 | — |
| LMArena Creative Writing | 1436 | — |
| LMArena Multi-Turn | 1452 | — |

## FAQ

### Is Grok 4.20 Multi-Agent better than phi-3-medium 14B?

Grok 4.20 Multi-Agent is the stronger model overall, scoring 46.2 to 29.7 on the Noometry Index.

### Is Grok 4.20 Multi-Agent or phi-3-medium 14B better for coding?

Grok 4.20 Multi-Agent scores higher on coding benchmarks: 43.0 versus 36.8 in the Noometry coding category.

### How many benchmarks do Grok 4.20 Multi-Agent and phi-3-medium 14B share?

0 benchmarks have published results for both models. Grok 4.20 Multi-Agent has 20 scored results on Noometry and phi-3-medium 14B has 13.