# Grok 4.6 vs Qwen3 32B

> Grok 4.6 is the stronger model overall, scoring 56.9 to 39.2 on the Noometry Index. Qwen3 32B costs 2.4× less per token, which makes it the better buy when Grok 4.6's lead doesn't matter for your workload.

- Canonical page: https://noometry.com/compare/grok-4-6-vs-qwen3-32b
- Last updated: 2026-10-12
- Shared benchmarks: 21

## Summary

- They share 21 benchmarks with published results for both. Grok 4.6 scores higher in 9 categories and Qwen3 32B in 0 categories; 8 gaps are clear of the uncertainty.
- The widest gap is in reasoning, where Grok 4.6 leads 61.4 to 20.2.
- The biggest single-benchmark swing is Chess Puzzles: 40% for Grok 4.6 and 5% for Qwen3 32B.
- Qwen3 32B is cheaper at $0.70 / $2.80 per million input/output tokens, against $2 / $6 for Grok 4.6.
- Grok 4.6 accepts more context: 500K tokens versus 131K.
- Qwen3 32B has downloadable open weights; the other is API-only.

## Snapshot

| | Grok 4.6 | Qwen3 32B |
|---|---|---|
| Provider | xAI | Alibaba (Qwen) |
| Noometry Index | 56.9 | 39.2 |
| Rank | 21 | 172 |
| Context | 500K | 131K |
| Input $/M | $2 | $0.70 |
| Output $/M | $6 | $2.80 |
| Weights | Proprietary | Open |

## Coding

- Grok 4.6: 58.5 (#16)
- Qwen3 32B: 37.7 (#190)

| Benchmark | Grok 4.6 | Qwen3 32B |
|---|---|---|
| SciCode | 56.5% | 35.4% |
| LMArena Coding | 1465 | 1358 |
| DeepSWE | 67.5% | — |
| FrontierCode | 48% | — |
| Aider Polyglot | — | 40% |
| CursorBench | 41.4% | — |
| LMArena WebDev | 1617 | — |
| FrontierSWE | 25.3% | — |
| WeirdML | 67.3% | — |
| ALE-Bench | 1,508 | — |

## Agentic & Tool Use

- Grok 4.6: 39.4 (#27)
- Qwen3 32B: 32.6 (#62)

| Benchmark | Grok 4.6 | Qwen3 32B |
|---|---|---|
| APEX-Agents | 65.3% | — |
| Berkeley Function Calling Leaderboard | — | 48.7% |
| GDP.pdf | 17.2% | — |
| Vending-Bench 2 | 9,047 | — |

## Reasoning

- Grok 4.6: 61.4 (#20)
- Qwen3 32B: 20.2 (#241)

| Benchmark | Grok 4.6 | Qwen3 32B |
|---|---|---|
| CritPt | 19.7% | 0.3% |
| Chess Puzzles | 40% | 5% |
| LMArena Hard Prompts | 1447 | 1334 |
| DTBench | 97.3% | 67.5% |
| LMCA | 48.5% | 17.3% |
| Epoch Capabilities Index | 156.44 | 138.51 |
| ARC-AGI-2 | 67.1% | — |
| SimpleBench | 75.9% | — |
| Kagi LLM Benchmark | — | 54.9% |
| NYT Connections (extended) | 80% | — |
| ARC-AGI-1 | 87.5% | — |
| EBR-Bench | 30.5% | — |
| Mystery Game Puzzles | 34% | — |

## Math

- Grok 4.6: 67.0 (#24)
- Qwen3 32B: 39.7 (#99)

| Benchmark | Grok 4.6 | Qwen3 32B |
|---|---|---|
| OTIS Mock AIME 2024-2025 | 99.2% | 66.9% |
| LMArena Math | 1423 | 1399 |
| FrontierMath (Tiers 1-3) | 66% | — |
| FrontierMath Tier 4 | 31.7% | — |
| ProofBench | 51% | — |

## Knowledge

- Grok 4.6: 63.3 (#20)
- Qwen3 32B: 40.0 (#125)

| Benchmark | Grok 4.6 | Qwen3 32B |
|---|---|---|
| GPQA Diamond | 94% | 65.7% |
| LMArena Expert | 1467 | 1362 |
| SimpleQA Verified | 49.3% | — |
| Vectara Hallucination Rate | — | 5.9% |

## Multimodal

- Grok 4.6: 43.6 (#23)
- Qwen3 32B: —

| Benchmark | Grok 4.6 | Qwen3 32B |
|---|---|---|
| LMArena Vision | 1263 | — |
| Blueprint-Bench 2 | 33.2% | — |
| Furniture Assembly | 40% | — |
| LMArena Document | 1452 | — |

## Multilingual

- Grok 4.6: 53.0 (#74)
- Qwen3 32B: 45.6 (#167)

| Benchmark | Grok 4.6 | Qwen3 32B |
|---|---|---|
| LMArena Non-English | 1420 | 1317 |
| LMArena Chinese | 1480 | 1357 |
| LMArena German | 1431 | 1341 |
| LMArena Russian | 1422 | 1311 |
| LMArena French | 1461 | — |
| LMArena Japanese | 1376 | — |
| LMArena Korean | 1397 | — |
| LMArena Spanish | 1404 | — |

## Instruction Following

- Grok 4.6: 75.4 (#63)
- Qwen3 32B: 68.9 (#179)

| Benchmark | Grok 4.6 | Qwen3 32B |
|---|---|---|
| LMArena Instruction Following | 1431 | 1305 |

## Long Context

- Grok 4.6: 44.5 (#66)
- Qwen3 32B: 43.8 (#87)

| Benchmark | Grok 4.6 | Qwen3 32B |
|---|---|---|
| LMArena Longer Query | 1454 | 1327 |
| Fiction.LiveBench | — | 74.2% |

## Writing & Preference

- Grok 4.6: 62.3 (#80)
- Qwen3 32B: 52.9 (#163)

| Benchmark | Grok 4.6 | Qwen3 32B |
|---|---|---|
| LMArena Text | 1428 | 1340 |
| LMArena Creative Writing | 1428 | 1297 |
| LMArena Multi-Turn | 1425 | 1331 |

## FAQ

### Is Grok 4.6 better than Qwen3 32B?

Grok 4.6 is the stronger model overall, scoring 56.9 to 39.2 on the Noometry Index. Qwen3 32B costs 2.4× less per token, which makes it the better buy when Grok 4.6's lead doesn't matter for your workload.

### Which is cheaper, Grok 4.6 or Qwen3 32B?

Qwen3 32B is cheaper. It lists at $0.70 per million input tokens and $2.80 per million output tokens; Grok 4.6 lists at $2 and $6.

### Is Grok 4.6 or Qwen3 32B better for coding?

Grok 4.6 scores higher on coding benchmarks: 58.5 versus 37.7 in the Noometry coding category.

### Which has the bigger context window?

Grok 4.6 does, with 500K tokens against 131K.

### How many benchmarks do Grok 4.6 and Qwen3 32B share?

21 benchmarks have published results for both models. Grok 4.6 has 49 scored results on Noometry and Qwen3 32B has 26.