Model comparison
Qwen3.8 Max vs WizardLM-2 8x22B
Qwen3.8 Max has enough public results to be ranked (#22); WizardLM-2 8x22B does not yet, so treat this comparison as directional.
Last verified . 1 shared benchmarks.
Summary
- They share 1 benchmark with published results for both. Qwen3.8 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 math, where Qwen3.8 Max leads 73.2 to 28.9.
- The biggest single-benchmark swing is GPQA Diamond: 92.7% for Qwen3.8 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 / $6 for Qwen3.8 Max.
- Qwen3.8 Max accepts more context: 1M tokens versus 66K.
- WizardLM-2 8x22B has downloadable open weights; the other is API-only.
Side by side
| Qwen3.8 Max | WizardLM-2 8x22B | |
|---|---|---|
| Provider | Alibaba (Qwen) | Microsoft |
| Noometry Index | 56.8 | 31.4 |
| Released | 2026-08-02 | 2024-04-15 |
| Weights | Proprietary | Open |
| Context window | 1M | 66K |
| Max output | 131K | 8K |
| Input $ / M tokens | $2 | $0.62 |
| Output $ / M tokens | $6 | $0.62 |
| Results tracked | 39 | 2 |
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Category by category
Coding Not comparable
Qwen3.8 Max: 53.5 (#29), WizardLM-2 8x22B: —
| Benchmark | Qwen3.8 Max | WizardLM-2 8x22B |
|---|---|---|
| DeepSWE | 57.5% | — |
| LMArena WebDev | 1674 | — |
| FrontierSWE | 17.8% | — |
| SciCode | 53.2% | — |
| LMArena Coding | 1502 | — |
Agentic & Tool Use Not comparable
Qwen3.8 Max: 45.4 (#14), WizardLM-2 8x22B: —
| Benchmark | Qwen3.8 Max | WizardLM-2 8x22B |
|---|---|---|
| APEX-Agents | 63.3% | — |
| τ²-bench Banking | 55.1% | — |
| GDP.pdf | 23.2% | — |
Reasoning Not comparable
Qwen3.8 Max: 54.4 (#26), WizardLM-2 8x22B: —
| Benchmark | Qwen3.8 Max | WizardLM-2 8x22B |
|---|---|---|
| NYT Connections (extended) | 88.3% | — |
| CritPt | 20% | — |
| Chess Puzzles | 40% | — |
| LMArena Hard Prompts | 1496 | — |
| Mystery Game Puzzles | 38% | — |
| DTBench | 92% | — |
| LMCA | 46.2% | — |
| Epoch Capabilities Index | 156.41 | — |
Math Qwen3.8 Max leads
Qwen3.8 Max: 73.2 (#20), WizardLM-2 8x22B: 28.9
| Benchmark | Qwen3.8 Max | WizardLM-2 8x22B |
|---|---|---|
| FrontierMath (Tiers 1-3) | 74.7% | — |
| FrontierMath Tier 4 | 46.3% | — |
| OTIS Mock AIME 2024-2025 | 100% | — |
| ProofBench | 58% | — |
| LMArena Math | 1499 | — |
| MATH Level 5 | — | 25.7% |
Knowledge Qwen3.8 Max leads
Qwen3.8 Max: 61.7 (#27), WizardLM-2 8x22B: 23.3
| Benchmark | Qwen3.8 Max | WizardLM-2 8x22B |
|---|---|---|
| GPQA Diamond | 92.7% | 43.4% |
| SimpleQA Verified | 47.3% | — |
| LMArena Expert | 1507 | — |
Multimodal Not comparable
Qwen3.8 Max: 37.2 (#75), WizardLM-2 8x22B: —
| Benchmark | Qwen3.8 Max | WizardLM-2 8x22B |
|---|---|---|
| LMArena Vision | 1314 | — |
| Furniture Assembly | 20% | — |
Multilingual Not comparable
Qwen3.8 Max: 56.7 (#18), WizardLM-2 8x22B: —
| Benchmark | Qwen3.8 Max | WizardLM-2 8x22B |
|---|---|---|
| LMArena Non-English | 1472 | — |
| LMArena Chinese | 1538 | — |
| LMArena French | 1503 | — |
| LMArena German | 1483 | — |
| LMArena Japanese | 1467 | — |
| LMArena Korean | 1461 | — |
| LMArena Russian | 1481 | — |
| LMArena Spanish | 1492 | — |
Instruction Following Not comparable
Qwen3.8 Max: 77.6 (#17), WizardLM-2 8x22B: —
| Benchmark | Qwen3.8 Max | WizardLM-2 8x22B |
|---|---|---|
| LMArena Instruction Following | 1479 | — |
Long Context Not comparable
Qwen3.8 Max: 45.6 (#31), WizardLM-2 8x22B: —
| Benchmark | Qwen3.8 Max | WizardLM-2 8x22B |
|---|---|---|
| LMArena Longer Query | 1489 | — |
Writing & Preference Not comparable
Qwen3.8 Max: 67.1 (#30), WizardLM-2 8x22B: —
| Benchmark | Qwen3.8 Max | WizardLM-2 8x22B |
|---|---|---|
| LMArena Text | 1483 | — |
| LMArena Creative Writing | 1479 | — |
| LMArena Multi-Turn | 1489 | — |
Frequently asked questions
Is Qwen3.8 Max better than WizardLM-2 8x22B?
Qwen3.8 Max has enough public results to be ranked (#22); WizardLM-2 8x22B does not yet, so treat this comparison as directional.
Which is cheaper, Qwen3.8 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; Qwen3.8 Max lists at $2 and $6.
Which has the bigger context window?
Qwen3.8 Max does, with 1M tokens against 66K.
How many benchmarks do Qwen3.8 Max and WizardLM-2 8x22B share?
1 benchmark has published results for both models. Qwen3.8 Max has 39 scored results on Noometry and WizardLM-2 8x22B has 2.