# Grok 4.3 vs Qwen3 14B

> Grok 4.3 is the stronger model overall, scoring 43.8 to 35.5 on the Noometry Index. Qwen3 14B costs 2.6× less per token, which makes it the better buy when Grok 4.3's lead doesn't matter for your workload.

- Canonical page: https://noometry.com/compare/grok-4-3-vs-qwen3-14b
- Last updated: 2026-10-12
- Shared benchmarks: 8

## Summary

- They share 8 benchmarks with published results for both. Grok 4.3 scores higher in 5 categories and Qwen3 14B in 1 category; 6 gaps are clear of the uncertainty.
- The widest gap is in reasoning, where Grok 4.3 leads 35.9 to 18.5.
- The biggest single-benchmark swing is OTIS Mock AIME 2024-2025: 93.3% for Grok 4.3 and 66.4% for Qwen3 14B.
- Qwen3 14B is cheaper at $0.35 / $1.40 per million input/output tokens, against $1.25 / $2.50 for Grok 4.3.
- Grok 4.3 accepts more context: 1M tokens versus 131K.
- Qwen3 14B has downloadable open weights; the other is API-only.

## Snapshot

| | Grok 4.3 | Qwen3 14B |
|---|---|---|
| Provider | xAI | Alibaba (Qwen) |
| Noometry Index | 43.8 | 35.5 |
| Rank | 86 | 225 |
| Context | 1M | 131K |
| Input $/M | $1.25 | $0.35 |
| Output $/M | $2.50 | $1.40 |
| Weights | Proprietary | Open |

## Coding

- Grok 4.3: 41.6 (#121)
- Qwen3 14B: 37.3 (#195)

| Benchmark | Grok 4.3 | Qwen3 14B |
|---|---|---|
| SciCode | 47.3% | 31.6% |
| LMArena WebDev | 1357 | — |
| WeirdML | 49.9% | — |
| LMArena Coding | 1415 | — |
| ALE-Bench | 944.17 | — |

## Agentic & Tool Use

- Grok 4.3: 27.7 (#99)
- Qwen3 14B: 29.6 (#83)

| Benchmark | Grok 4.3 | Qwen3 14B |
|---|---|---|
| Berkeley Function Calling Leaderboard | — | 41% |
| GDP.pdf | 8% | — |
| LMArena Search | 1165 | — |
| Vending-Bench 2 | 35.26 | — |

## Reasoning

- Grok 4.3: 35.9 (#68)
- Qwen3 14B: 18.5 (#280)

| Benchmark | Grok 4.3 | Qwen3 14B |
|---|---|---|
| CritPt | 8% | 0% |
| Chess Puzzles | 25% | 4% |
| DTBench | 90.7% | 64% |
| LMCA | 38.3% | 18.2% |
| Epoch Capabilities Index | 149.16 | 138.23 |
| Kagi LLM Benchmark | — | 49.1% |
| NYT Connections (extended) | 55.2% | — |
| LMArena Hard Prompts | 1396 | — |
| ForecastBench | 60.3 | — |

## Math

- Grok 4.3: 46.0 (#74)
- Qwen3 14B: 38.6 (#133)

| Benchmark | Grok 4.3 | Qwen3 14B |
|---|---|---|
| OTIS Mock AIME 2024-2025 | 93.3% | 66.4% |
| FrontierMath (Tiers 1-3) | 42.8% | — |
| FrontierMath Tier 4 | 14.6% | — |
| ProofBench | 11% | — |
| LMArena Math | 1388 | — |

## Knowledge

- Grok 4.3: 52.5 (#62)
- Qwen3 14B: 39.3 (#134)

| Benchmark | Grok 4.3 | Qwen3 14B |
|---|---|---|
| GPQA Diamond | 88.8% | 63.8% |
| SimpleQA Verified | 33.2% | — |
| Vectara Hallucination Rate | — | 5.4% |
| LMArena Expert | 1385 | — |

## Multimodal

- Grok 4.3: 31.6 (#104)
- Qwen3 14B: —

| Benchmark | Grok 4.3 | Qwen3 14B |
|---|---|---|
| LMArena Vision | 1229 | — |
| Blueprint-Bench 2 | 0% | — |

## Multilingual

- Grok 4.3: 50.5 (#120)
- Qwen3 14B: —

| Benchmark | Grok 4.3 | Qwen3 14B |
|---|---|---|
| LMArena Non-English | 1385 | — |
| LMArena Chinese | 1422 | — |
| LMArena French | 1412 | — |
| LMArena German | 1395 | — |
| LMArena Japanese | 1379 | — |
| LMArena Korean | 1356 | — |
| LMArena Russian | 1399 | — |
| LMArena Spanish | 1398 | — |

## Instruction Following

- Grok 4.3: 72.1 (#140)
- Qwen3 14B: —

| Benchmark | Grok 4.3 | Qwen3 14B |
|---|---|---|
| LMArena Instruction Following | 1366 | — |

## Long Context

- Grok 4.3: 42.5 (#123)
- Qwen3 14B: 38.1 (#204)

| Benchmark | Grok 4.3 | Qwen3 14B |
|---|---|---|
| Fiction.LiveBench | — | 62.5% |
| LMArena Longer Query | 1393 | — |

## Writing & Preference

- Grok 4.3: 58.5 (#118)
- Qwen3 14B: —

| Benchmark | Grok 4.3 | Qwen3 14B |
|---|---|---|
| LMArena Text | 1397 | — |
| LMArena Creative Writing | 1380 | — |
| EQ-Bench 4 | 1075 | — |
| LMArena Multi-Turn | 1406 | — |

## FAQ

### Is Grok 4.3 better than Qwen3 14B?

Grok 4.3 is the stronger model overall, scoring 43.8 to 35.5 on the Noometry Index. Qwen3 14B costs 2.6× less per token, which makes it the better buy when Grok 4.3's lead doesn't matter for your workload.

### Which is cheaper, Grok 4.3 or Qwen3 14B?

Qwen3 14B is cheaper. It lists at $0.35 per million input tokens and $1.40 per million output tokens; Grok 4.3 lists at $1.25 and $2.50.

### Is Grok 4.3 or Qwen3 14B better for coding?

Grok 4.3 scores higher on coding benchmarks: 41.6 versus 37.3 in the Noometry coding category.

### Which has the bigger context window?

Grok 4.3 does, with 1M tokens against 131K.

### How many benchmarks do Grok 4.3 and Qwen3 14B share?

8 benchmarks have published results for both models. Grok 4.3 has 40 scored results on Noometry and Qwen3 14B has 12.