# Grok 4.20 Multi-Agent vs Qwen3 14B

> Grok 4.20 Multi-Agent is the stronger model overall, scoring 46.2 to 35.5 on the Noometry Index. Qwen3 14B costs 2.6× 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-qwen3-14b
- Last updated: 2026-10-12
- Shared benchmarks: 0

## Summary

- The widest gap is in reasoning, where Grok 4.20 Multi-Agent leads 43.9 to 18.5.
- Qwen3 14B is cheaper at $0.35 / $1.40 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 131K.
- Qwen3 14B has downloadable open weights; the other is API-only.

## Snapshot

| | Grok 4.20 Multi-Agent | Qwen3 14B |
|---|---|---|
| Provider | xAI | Alibaba (Qwen) |
| Noometry Index | 46.2 | 35.5 |
| Rank | 65 | 225 |
| Context | 1M | 131K |
| Input $/M | $1.25 | $0.35 |
| Output $/M | $2.50 | $1.40 |
| Weights | Proprietary | Open |

## Coding

- Grok 4.20 Multi-Agent: 43.0 (#92)
- Qwen3 14B: 37.3 (#195)

| Benchmark | Grok 4.20 Multi-Agent | Qwen3 14B |
|---|---|---|
| SciCode | — | 31.6% |
| LMArena Coding | 1457 | — |

## Agentic & Tool Use

- Grok 4.20 Multi-Agent: —
- Qwen3 14B: 29.6 (#83)

| Benchmark | Grok 4.20 Multi-Agent | Qwen3 14B |
|---|---|---|
| Berkeley Function Calling Leaderboard | — | 41% |
| LMArena Search | 1204 | — |

## Reasoning

- Grok 4.20 Multi-Agent: 43.9 (#48)
- Qwen3 14B: 18.5 (#280)

| Benchmark | Grok 4.20 Multi-Agent | Qwen3 14B |
|---|---|---|
| Kagi LLM Benchmark | — | 49.1% |
| NYT Connections (extended) | 89.6% | — |
| CritPt | — | 0% |
| Chess Puzzles | — | 4% |
| LMArena Hard Prompts | 1448 | — |
| DTBench | — | 64% |
| LMCA | — | 18.2% |
| Epoch Capabilities Index | — | 138.23 |

## Math

- Grok 4.20 Multi-Agent: 39.4 (#104)
- Qwen3 14B: 38.6 (#133)

| Benchmark | Grok 4.20 Multi-Agent | Qwen3 14B |
|---|---|---|
| OTIS Mock AIME 2024-2025 | — | 66.4% |
| LMArena Math | 1442 | — |

## Knowledge

- Grok 4.20 Multi-Agent: 40.4 (#119)
- Qwen3 14B: 39.3 (#134)

| Benchmark | Grok 4.20 Multi-Agent | Qwen3 14B |
|---|---|---|
| GPQA Diamond | — | 63.8% |
| Vectara Hallucination Rate | — | 5.4% |
| LMArena Expert | 1445 | — |

## Multimodal

- Grok 4.20 Multi-Agent: 40.5 (#48)
- Qwen3 14B: —

| Benchmark | Grok 4.20 Multi-Agent | Qwen3 14B |
|---|---|---|
| LMArena Vision | 1259 | — |

## Multilingual

- Grok 4.20 Multi-Agent: 54.4 (#43)
- Qwen3 14B: —

| Benchmark | Grok 4.20 Multi-Agent | Qwen3 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)
- Qwen3 14B: —

| Benchmark | Grok 4.20 Multi-Agent | Qwen3 14B |
|---|---|---|
| LMArena Instruction Following | 1420 | — |

## Long Context

- Grok 4.20 Multi-Agent: 43.7 (#88)
- Qwen3 14B: 38.1 (#204)

| Benchmark | Grok 4.20 Multi-Agent | Qwen3 14B |
|---|---|---|
| Fiction.LiveBench | — | 62.5% |
| LMArena Longer Query | 1431 | — |

## Writing & Preference

- Grok 4.20 Multi-Agent: 64.0 (#59)
- Qwen3 14B: —

| Benchmark | Grok 4.20 Multi-Agent | Qwen3 14B |
|---|---|---|
| LMArena Text | 1450 | — |
| LMArena Creative Writing | 1436 | — |
| LMArena Multi-Turn | 1452 | — |

## FAQ

### Is Grok 4.20 Multi-Agent better than Qwen3 14B?

Grok 4.20 Multi-Agent is the stronger model overall, scoring 46.2 to 35.5 on the Noometry Index. Qwen3 14B costs 2.6× 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 Qwen3 14B?

Qwen3 14B is cheaper. It lists at $0.35 per million input tokens and $1.40 per million output tokens; Grok 4.20 Multi-Agent lists at $1.25 and $2.50.

### Is Grok 4.20 Multi-Agent or Qwen3 14B better for coding?

Grok 4.20 Multi-Agent scores higher on coding benchmarks: 43.0 versus 37.3 in the Noometry coding category.

### Which has the bigger context window?

Grok 4.20 Multi-Agent does, with 1M tokens against 131K.

### How many benchmarks do Grok 4.20 Multi-Agent and Qwen3 14B share?

0 benchmarks have published results for both models. Grok 4.20 Multi-Agent has 20 scored results on Noometry and Qwen3 14B has 12.