Phi-3 MediumvsWizardLM-2 8x22B
Microsoft vs Microsoft — Side-by-side model comparison
Head-to-Head Comparison
| Metric | Phi-3 Medium | WizardLM-2 8x22B |
|---|---|---|
| Provider | ||
| Arena Rank | — | — |
| Context Window | 128K | 64K |
| Input Pricing | Free (open)/1M tokens | Free (open)/1M tokens |
| Output Pricing | Free (open)/1M tokens | Free (open)/1M tokens |
| Parameters | 14B | 176B (39B active) |
| Open Source | Yes | Yes |
| Best For | Balanced performance, reasoning, coding | Complex instructions, reasoning, coding |
| Release Date | May 21, 2024 | Apr 15, 2024 |
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 →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 →Key Differences: Phi-3 Medium vs WizardLM-2 8x22B
Phi-3 Medium supports a larger context window (128K), allowing it to process longer documents in a single request.
Phi-3 Medium has 14B parameters vs WizardLM-2 8x22B's 176B (39B active), which affects inference speed and capability.
When to use Phi-3 Medium
- +You need to process long documents (128K context)
- +Your use case involves balanced performance, reasoning, coding
When to use WizardLM-2 8x22B
- +Your use case involves complex instructions, reasoning, coding
The Verdict
This is a close matchup. Phi-3 Medium and WizardLM-2 8x22B each win in different categories, making the choice highly dependent on your use case. Choose Phi-3 Medium for balanced performance, reasoning, coding. Choose WizardLM-2 8x22B for complex instructions, reasoning, coding.
Last compared: March 2026 · Data sourced from public benchmarks and official pricing pages