# Grok-2 (Dec 2024) vs Qwen3.6 27B

> Qwen3.6 27B is the stronger model overall, scoring 42.2 to 33.7 on the Noometry Index.

- Canonical page: https://noometry.com/compare/grok-2-vs-qwen3-6-27b
- Last updated: 2026-10-12
- Shared benchmarks: 4

## Summary

- They share 4 benchmarks with published results for both. Grok-2 (Dec 2024) scores higher in 0 categories and Qwen3.6 27B in 5 categories; 5 gaps are clear of the uncertainty.
- The widest gap is in math, where Qwen3.6 27B leads 48.5 to 20.8.
- The biggest single-benchmark swing is OTIS Mock AIME 2024-2025: 11.5% for Grok-2 (Dec 2024) and 91.1% for Qwen3.6 27B.
- Qwen3.6 27B has downloadable open weights; the other is API-only.

## Snapshot

| | Grok-2 (Dec 2024) | Qwen3.6 27B |
|---|---|---|
| Provider | xAI | Alibaba (Qwen) |
| Noometry Index | 33.7 | 42.2 |
| Rank | 239 | 117 |
| Context | — | 262K |
| Input $/M | — | $0.60 |
| Output $/M | — | $3.60 |
| Weights | Proprietary | Open |

## Coding

- Grok-2 (Dec 2024): 33.3 (#258)
- Qwen3.6 27B: 39.1 (#163)

| Benchmark | Grok-2 (Dec 2024) | Qwen3.6 27B |
|---|---|---|
| SciCode | — | 37.3% |
| WeirdML | 22.2% | — |
| LiveBench Coding | 46.4% | — |
| LMArena Coding | 1287 | — |

## Reasoning

- Grok-2 (Dec 2024): 16.9 (#299)
- Qwen3.6 27B: 25.0 (#153)

| Benchmark | Grok-2 (Dec 2024) | Qwen3.6 27B |
|---|---|---|
| DTBench | 65.2% | 78.1% |
| Epoch Capabilities Index | 130.48 | 146.5 |
| SimpleBench | 22.7% | — |
| CritPt | — | 0.9% |
| Chess Puzzles | — | 22% |
| LiveBench Reasoning | 54.8% | — |
| LMArena Hard Prompts | 1272 | — |
| Mystery Game Puzzles | — | 7% |
| LiveBench Data Analysis | 54.5% | — |
| LMCA | — | 34.5% |
| LiveBench | 54.3% | — |

## Math

- Grok-2 (Dec 2024): 20.8 (#284)
- Qwen3.6 27B: 48.5 (#62)

| Benchmark | Grok-2 (Dec 2024) | Qwen3.6 27B |
|---|---|---|
| OTIS Mock AIME 2024-2025 | 11.5% | 91.1% |
| FrontierMath (Tiers 1-3) | — | 35.1% |
| LiveBench Math | 54.9% | — |
| LMArena Math | 1283 | — |
| MATH Level 5 | 63.5% | — |
| FrontierMath (Feb 2025 set) | 0.7% | — |

## Knowledge

- Grok-2 (Dec 2024): 29.8 (#233)
- Qwen3.6 27B: 52.4 (#63)

| Benchmark | Grok-2 (Dec 2024) | Qwen3.6 27B |
|---|---|---|
| GPQA Diamond | 53.8% | 85.9% |
| Confabulations | 20.1% | — |
| LMArena Expert | 1254 | — |

## Multilingual

- Grok-2 (Dec 2024): 43.1 (#188)
- Qwen3.6 27B: —

| Benchmark | Grok-2 (Dec 2024) | Qwen3.6 27B |
|---|---|---|
| LMArena Non-English | 1282 | — |
| LMArena Chinese | 1289 | — |
| LMArena French | 1318 | — |
| LMArena German | 1287 | — |
| LMArena Japanese | 1244 | — |
| LMArena Korean | 1237 | — |
| LMArena Russian | 1286 | — |
| LMArena Spanish | 1281 | — |

## Instruction Following

- Grok-2 (Dec 2024): 66.9 (#202)
- Qwen3.6 27B: —

| Benchmark | Grok-2 (Dec 2024) | Qwen3.6 27B |
|---|---|---|
| LiveBench Instruction Following | 69.6% | — |
| LMArena Instruction Following | 1270 | — |

## Long Context

- Grok-2 (Dec 2024): 38.8 (#190)
- Qwen3.6 27B: —

| Benchmark | Grok-2 (Dec 2024) | Qwen3.6 27B |
|---|---|---|
| LMArena Longer Query | 1276 | — |

## Writing & Preference

- Grok-2 (Dec 2024): 48.6 (#198)
- Qwen3.6 27B: 50.3 (#181)

| Benchmark | Grok-2 (Dec 2024) | Qwen3.6 27B |
|---|---|---|
| LMArena Text | 1305 | — |
| LMArena Creative Writing | 1284 | — |
| Short-Story Creative Writing | 63.6% | — |
| EQ-Bench 4 | — | 1026 |
| LMArena Multi-Turn | 1290 | — |
| LiveBench Language | 45.6% | — |

## FAQ

### Is Grok-2 (Dec 2024) better than Qwen3.6 27B?

Qwen3.6 27B is the stronger model overall, scoring 42.2 to 33.7 on the Noometry Index.

### Is Grok-2 (Dec 2024) or Qwen3.6 27B better for coding?

Qwen3.6 27B scores higher on coding benchmarks: 39.1 versus 33.3 in the Noometry coding category.

### How many benchmarks do Grok-2 (Dec 2024) and Qwen3.6 27B share?

4 benchmarks have published results for both models. Grok-2 (Dec 2024) has 34 scored results on Noometry and Qwen3.6 27B has 11.