# Grok 4.20 Multi-Agent vs Qwen3-4B

> Grok 4.20 Multi-Agent is the stronger model overall, scoring 46.2 to 31.9 on the Noometry Index.

- Canonical page: https://noometry.com/compare/grok-4-20-multi-agent-vs-qwen3-4b
- Last updated: 2026-10-10
- Shared benchmarks: 0

## Summary

- The widest gap is in reasoning, where Grok 4.20 Multi-Agent leads 43.9 to 19.2.
- Qwen3-4B has downloadable open weights; the other is API-only.

## Snapshot

| | Grok 4.20 Multi-Agent | Qwen3-4B |
|---|---|---|
| Provider | xAI | Alibaba (Qwen) |
| Noometry Index | 46.2 | 31.9 |
| Rank | 65 | 264 |
| Context | 1M | — |
| Input $/M | $1.25 | — |
| Output $/M | $2.50 | — |
| Weights | Proprietary | Open |

## Coding

- Grok 4.20 Multi-Agent: 43.0 (#92)
- Qwen3-4B: —

| Benchmark | Grok 4.20 Multi-Agent | Qwen3-4B |
|---|---|---|
| LMArena Coding | 1457 | — |

## Agentic & Tool Use

- Grok 4.20 Multi-Agent: —
- Qwen3-4B: 27.6 (#100)

| Benchmark | Grok 4.20 Multi-Agent | Qwen3-4B |
|---|---|---|
| Berkeley Function Calling Leaderboard | — | 35.7% |
| LMArena Search | 1204 | — |

## Reasoning

- Grok 4.20 Multi-Agent: 43.9 (#48)
- Qwen3-4B: 19.2 (#268)

| Benchmark | Grok 4.20 Multi-Agent | Qwen3-4B |
|---|---|---|
| NYT Connections (extended) | 89.6% | — |
| Chess Puzzles | — | 4% |
| LMArena Hard Prompts | 1448 | — |

## Math

- Grok 4.20 Multi-Agent: 39.4 (#104)
- Qwen3-4B: 29.7 (#240)

| Benchmark | Grok 4.20 Multi-Agent | Qwen3-4B |
|---|---|---|
| MathArena Final-Answer Competitions | — | 38.5% |
| OTIS Mock AIME 2024-2025 | — | 52.2% |
| LMArena Math | 1442 | — |

## Knowledge

- Grok 4.20 Multi-Agent: 40.4 (#119)
- Qwen3-4B: 33.0 (#208)

| Benchmark | Grok 4.20 Multi-Agent | Qwen3-4B |
|---|---|---|
| GPQA Diamond | — | 52.3% |
| Vectara Hallucination Rate | — | 5.7% |
| LMArena Expert | 1445 | — |

## Multimodal

- Grok 4.20 Multi-Agent: 40.5 (#48)
- Qwen3-4B: —

| Benchmark | Grok 4.20 Multi-Agent | Qwen3-4B |
|---|---|---|
| LMArena Vision | 1259 | — |

## Multilingual

- Grok 4.20 Multi-Agent: 54.4 (#43)
- Qwen3-4B: —

| Benchmark | Grok 4.20 Multi-Agent | Qwen3-4B |
|---|---|---|
| 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)
- Qwen3-4B: —

| Benchmark | Grok 4.20 Multi-Agent | Qwen3-4B |
|---|---|---|
| LMArena Instruction Following | 1420 | — |

## Long Context

- Grok 4.20 Multi-Agent: 43.7 (#88)
- Qwen3-4B: —

| Benchmark | Grok 4.20 Multi-Agent | Qwen3-4B |
|---|---|---|
| LMArena Longer Query | 1431 | — |

## Writing & Preference

- Grok 4.20 Multi-Agent: 64.0 (#59)
- Qwen3-4B: —

| Benchmark | Grok 4.20 Multi-Agent | Qwen3-4B |
|---|---|---|
| LMArena Text | 1450 | — |
| LMArena Creative Writing | 1436 | — |
| LMArena Multi-Turn | 1452 | — |

## FAQ

### Is Grok 4.20 Multi-Agent better than Qwen3-4B?

Grok 4.20 Multi-Agent is the stronger model overall, scoring 46.2 to 31.9 on the Noometry Index.

### How many benchmarks do Grok 4.20 Multi-Agent and Qwen3-4B share?

0 benchmarks have published results for both models. Grok 4.20 Multi-Agent has 20 scored results on Noometry and Qwen3-4B has 6.