# Grok 4.6 vs Qwen3.5-Flash

> Grok 4.6 is the stronger model overall, scoring 56.9 to 42.5 on the Noometry Index. Qwen3.5-Flash costs 17× 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-qwen3-5-flash
- Last updated: 2026-10-10
- Shared benchmarks: 29

## Summary

- They share 29 benchmarks with published results for both. Grok 4.6 scores higher in 8 categories and Qwen3.5-Flash in 0 categories; 8 gaps are clear of the uncertainty.
- The widest gap is in math, where Grok 4.6 leads 67.0 to 37.4.
- The biggest single-benchmark swing is FrontierMath (Tiers 1-3): 66% for Grok 4.6 and 18.2% for Qwen3.5-Flash.
- Qwen3.5-Flash is cheaper at $0.10 / $0.40 per million input/output tokens, against $2 / $6 for Grok 4.6.
- Qwen3.5-Flash accepts more context: 1M tokens versus 500K.

## Snapshot

| | Grok 4.6 | Qwen3.5-Flash |
|---|---|---|
| Provider | xAI | Alibaba (Qwen) |
| Noometry Index | 56.9 | 42.5 |
| Rank | 21 | 112 |
| Context | 500K | 1M |
| Input $/M | $2 | $0.10 |
| Output $/M | $6 | $0.40 |
| Weights | Proprietary | Proprietary |

## Coding

- Grok 4.6: 58.5 (#16)
- Qwen3.5-Flash: 34.2 (#242)

| Benchmark | Grok 4.6 | Qwen3.5-Flash |
|---|---|---|
| LMArena WebDev | 1617 | 1244 |
| LMArena Coding | 1465 | 1412 |
| ALE-Bench | 1,508 | 221.8 |
| DeepSWE | 67.5% | — |
| FrontierCode | 48% | — |
| CursorBench | 41.4% | — |
| FrontierSWE | 25.3% | — |
| SciCode | 56.5% | — |
| WeirdML | 67.3% | — |

## Agentic & Tool Use

- Grok 4.6: 39.4 (#27)
- Qwen3.5-Flash: —

| Benchmark | Grok 4.6 | Qwen3.5-Flash |
|---|---|---|
| Vending-Bench 2 | 9,047 | 462.69 |
| APEX-Agents | 65.3% | — |
| GDP.pdf | 17.2% | — |

## Reasoning

- Grok 4.6: 61.4 (#20)
- Qwen3.5-Flash: 33.7 (#72)

| Benchmark | Grok 4.6 | Qwen3.5-Flash |
|---|---|---|
| Chess Puzzles | 40% | 21% |
| LMArena Hard Prompts | 1447 | 1403 |
| Mystery Game Puzzles | 34% | 20% |
| DTBench | 97.3% | 82.9% |
| LMCA | 48.5% | 29.1% |
| Epoch Capabilities Index | 156.44 | 143.98 |
| ARC-AGI-2 | 67.1% | — |
| SimpleBench | 75.9% | — |
| NYT Connections (extended) | 80% | — |
| ARC-AGI-1 | 87.5% | — |
| CritPt | 19.7% | — |
| EBR-Bench | 30.5% | — |

## Math

- Grok 4.6: 67.0 (#24)
- Qwen3.5-Flash: 37.4 (#158)

| Benchmark | Grok 4.6 | Qwen3.5-Flash |
|---|---|---|
| FrontierMath (Tiers 1-3) | 66% | 18.2% |
| OTIS Mock AIME 2024-2025 | 99.2% | 84.4% |
| LMArena Math | 1423 | 1407 |
| FrontierMath Tier 4 | 31.7% | — |
| ProofBench | 51% | — |
| FrontierMath (Feb 2025 set) | — | 6.2% |
| FrontierMath Tier 4 (v1) | — | 0% |

## Knowledge

- Grok 4.6: 63.3 (#20)
- Qwen3.5-Flash: 43.2 (#93)

| Benchmark | Grok 4.6 | Qwen3.5-Flash |
|---|---|---|
| GPQA Diamond | 94% | 82.3% |
| SimpleQA Verified | 49.3% | 20.3% |
| LMArena Expert | 1467 | 1407 |
| Vectara Hallucination Rate | — | 10.5% |

## Multimodal

- Grok 4.6: 43.6 (#23)
- Qwen3.5-Flash: —

| Benchmark | Grok 4.6 | Qwen3.5-Flash |
|---|---|---|
| LMArena Vision | 1263 | — |
| Blueprint-Bench 2 | 33.2% | — |
| Furniture Assembly | 40% | — |
| LMArena Document | 1452 | — |

## Multilingual

- Grok 4.6: 53.0 (#74)
- Qwen3.5-Flash: 50.5 (#121)

| Benchmark | Grok 4.6 | Qwen3.5-Flash |
|---|---|---|
| LMArena Non-English | 1420 | 1385 |
| LMArena Chinese | 1480 | 1446 |
| LMArena French | 1461 | 1412 |
| LMArena German | 1431 | 1390 |
| LMArena Japanese | 1376 | 1368 |
| LMArena Korean | 1397 | 1344 |
| LMArena Russian | 1422 | 1379 |
| LMArena Spanish | 1404 | 1400 |

## Instruction Following

- Grok 4.6: 75.4 (#63)
- Qwen3.5-Flash: 72.6 (#139)

| Benchmark | Grok 4.6 | Qwen3.5-Flash |
|---|---|---|
| LMArena Instruction Following | 1431 | 1374 |

## Long Context

- Grok 4.6: 44.5 (#66)
- Qwen3.5-Flash: 42.4 (#124)

| Benchmark | Grok 4.6 | Qwen3.5-Flash |
|---|---|---|
| LMArena Longer Query | 1454 | 1392 |

## Writing & Preference

- Grok 4.6: 62.3 (#80)
- Qwen3.5-Flash: 57.9 (#122)

| Benchmark | Grok 4.6 | Qwen3.5-Flash |
|---|---|---|
| LMArena Text | 1428 | 1397 |
| LMArena Creative Writing | 1428 | 1343 |
| LMArena Multi-Turn | 1425 | 1393 |

## FAQ

### Is Grok 4.6 better than Qwen3.5-Flash?

Grok 4.6 is the stronger model overall, scoring 56.9 to 42.5 on the Noometry Index. Qwen3.5-Flash costs 17× 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 Qwen3.5-Flash?

Qwen3.5-Flash is cheaper. It lists at $0.10 per million input tokens and $0.40 per million output tokens; Grok 4.6 lists at $2 and $6.

### Is Grok 4.6 or Qwen3.5-Flash better for coding?

Grok 4.6 scores higher on coding benchmarks: 58.5 versus 34.2 in the Noometry coding category.

### Which has the bigger context window?

Qwen3.5-Flash does, with 1M tokens against 500K.

### How many benchmarks do Grok 4.6 and Qwen3.5-Flash share?

29 benchmarks have published results for both models. Grok 4.6 has 49 scored results on Noometry and Qwen3.5-Flash has 32.