# Qwen3.7 Max vs WizardLM-2 8x22B

> Qwen3.7 Max has enough public results to be ranked (#42); WizardLM-2 8x22B does not yet, so treat this comparison as directional.

- Canonical page: https://noometry.com/compare/qwen3-7-max-vs-wizardlm-2-8x22b
- Last updated: 2026-10-12
- Shared benchmarks: 1

## Summary

- They share 1 benchmark with published results for both. Qwen3.7 Max scores higher in 2 categories and WizardLM-2 8x22B in 0 categories; 2 gaps are clear of the uncertainty.
- The widest gap is in knowledge, where Qwen3.7 Max leads 61.6 to 23.3.
- The biggest single-benchmark swing is GPQA Diamond: 90.9% for Qwen3.7 Max and 43.4% for WizardLM-2 8x22B.
- WizardLM-2 8x22B is cheaper at $0.62 / $0.62 per million input/output tokens, against $2.50 / $7.50 for Qwen3.7 Max.
- Qwen3.7 Max accepts more context: 1M tokens versus 66K.
- WizardLM-2 8x22B has downloadable open weights; the other is API-only.

## Snapshot

| | Qwen3.7 Max | WizardLM-2 8x22B |
|---|---|---|
| Provider | Alibaba (Qwen) | Microsoft |
| Noometry Index | 51.5 | 31.4 |
| Rank | 42 | — |
| Context | 1M | 66K |
| Input $/M | $2.50 | $0.62 |
| Output $/M | $7.50 | $0.62 |
| Weights | Proprietary | Open |

## Coding

- Qwen3.7 Max: 50.4 (#45)
- WizardLM-2 8x22B: —

| Benchmark | Qwen3.7 Max | WizardLM-2 8x22B |
|---|---|---|
| SWE-bench Verified | 77.3% | — |
| LMArena WebDev | 1515 | — |
| SciCode | 48.8% | — |
| LMArena Coding | 1498 | — |
| ALE-Bench | 1,189 | — |

## Agentic & Tool Use

- Qwen3.7 Max: 22.1 (#135)
- WizardLM-2 8x22B: —

| Benchmark | Qwen3.7 Max | WizardLM-2 8x22B |
|---|---|---|
| GBAEval | 0.4% | — |

## Reasoning

- Qwen3.7 Max: 49.2 (#38)
- WizardLM-2 8x22B: —

| Benchmark | Qwen3.7 Max | WizardLM-2 8x22B |
|---|---|---|
| SimpleBench | 70.4% | — |
| NYT Connections (extended) | 85.1% | — |
| CritPt | 13.4% | — |
| Chess Puzzles | 19% | — |
| EBR-Bench | 9.5% | — |
| LMArena Hard Prompts | 1483 | — |
| Mystery Game Puzzles | 32% | — |
| DTBench | 92.3% | — |
| LMCA | 44% | — |
| Epoch Capabilities Index | 153.68 | — |

## Math

- Qwen3.7 Max: 62.4 (#32)
- WizardLM-2 8x22B: 28.9

| Benchmark | Qwen3.7 Max | WizardLM-2 8x22B |
|---|---|---|
| FrontierMath (Tiers 1-3) | 64.6% | — |
| FrontierMath Tier 4 | 34.1% | — |
| OTIS Mock AIME 2024-2025 | 95.6% | — |
| ProofBench | 26% | — |
| LMArena Math | 1490 | — |
| MATH Level 5 | — | 25.7% |

## Knowledge

- Qwen3.7 Max: 61.6 (#28)
- WizardLM-2 8x22B: 23.3

| Benchmark | Qwen3.7 Max | WizardLM-2 8x22B |
|---|---|---|
| GPQA Diamond | 90.9% | 43.4% |
| SimpleQA Verified | 55.8% | — |
| LMArena Expert | 1488 | — |

## Multilingual

- Qwen3.7 Max: 56.9 (#15)
- WizardLM-2 8x22B: —

| Benchmark | Qwen3.7 Max | WizardLM-2 8x22B |
|---|---|---|
| LMArena Non-English | 1474 | — |
| LMArena Chinese | 1530 | — |
| LMArena Russian | 1484 | — |

## Instruction Following

- Qwen3.7 Max: 76.7 (#38)
- WizardLM-2 8x22B: —

| Benchmark | Qwen3.7 Max | WizardLM-2 8x22B |
|---|---|---|
| LMArena Instruction Following | 1460 | — |

## Long Context

- Qwen3.7 Max: 45.4 (#40)
- WizardLM-2 8x22B: —

| Benchmark | Qwen3.7 Max | WizardLM-2 8x22B |
|---|---|---|
| LMArena Longer Query | 1482 | — |

## Writing & Preference

- Qwen3.7 Max: 65.0 (#54)
- WizardLM-2 8x22B: —

| Benchmark | Qwen3.7 Max | WizardLM-2 8x22B |
|---|---|---|
| LMArena Text | 1476 | — |
| LMArena Creative Writing | 1449 | — |
| EQ-Bench 4 | 1110 | — |
| LMArena Multi-Turn | 1481 | — |

## FAQ

### Is Qwen3.7 Max better than WizardLM-2 8x22B?

Qwen3.7 Max has enough public results to be ranked (#42); WizardLM-2 8x22B does not yet, so treat this comparison as directional.

### Which is cheaper, Qwen3.7 Max or WizardLM-2 8x22B?

WizardLM-2 8x22B is cheaper. It lists at $0.62 per million input tokens and $0.62 per million output tokens; Qwen3.7 Max lists at $2.50 and $7.50.

### Which has the bigger context window?

Qwen3.7 Max does, with 1M tokens against 66K.

### How many benchmarks do Qwen3.7 Max and WizardLM-2 8x22B share?

1 benchmark has published results for both models. Qwen3.7 Max has 33 scored results on Noometry and WizardLM-2 8x22B has 2.