WizardLM-2 8x22BvsPhi-3 Medium
Microsoft vs Microsoft — Side-by-side model comparison
Head-to-Head Comparison
| Metric | WizardLM-2 8x22B | Phi-3 Medium |
|---|---|---|
| Provider | ||
| Arena Rank | — | — |
| Context Window | 64K | 128K |
| Input Pricing | Free (open)/1M tokens | Free (open)/1M tokens |
| Output Pricing | Free (open)/1M tokens | Free (open)/1M tokens |
| Parameters | 176B (39B active) | 14B |
| Open Source | Yes | Yes |
| Best For | Complex instructions, reasoning, coding | Balanced performance, reasoning, coding |
| Release Date | Apr 15, 2024 | May 21, 2024 |
WizardLM-2 8x22B
WizardLM-2 8x22B is Microsoft's instruction-tuned mixture-of-experts model built on Mixtral 8x22B. It uses advanced training techniques to significantly boost instruction-following and reasoning capabilities beyond the base model. At launch, it was among the strongest open models for complex multi-step instructions and competitive coding tasks.
View Microsoft profile →Phi-3 Medium
Phi-3 Medium is Microsoft's 14 billion parameter model in the Phi-3 family, offering a step up in capability from Phi-3 Mini while remaining efficient enough for deployment on consumer hardware. It demonstrates that careful data curation and training methodology can produce models that compete with much larger alternatives, particularly on reasoning and STEM-related tasks.
View Microsoft profile →Key Differences: WizardLM-2 8x22B vs Phi-3 Medium
Phi-3 Medium supports a larger context window (128K), allowing it to process longer documents in a single request.
WizardLM-2 8x22B has 176B (39B active) parameters vs Phi-3 Medium's 14B, which affects inference speed and capability.
When to use WizardLM-2 8x22B
- +Your use case involves complex instructions, reasoning, coding
When to use Phi-3 Medium
- +You need to process long documents (128K context)
- +Your use case involves balanced performance, reasoning, coding
The Verdict
This is a close matchup. WizardLM-2 8x22B and Phi-3 Medium each win in different categories, making the choice highly dependent on your use case. Choose WizardLM-2 8x22B for complex instructions, reasoning, coding. Choose Phi-3 Medium for balanced performance, reasoning, coding.
Last compared: March 2026 · Data sourced from public benchmarks and official pricing pages