Model comparison
WizardLM-2 8x22B vs Phi-3.5 Mini
Capability radar, value bars, and side-by-side posture.
WizardLM-2 8x22B
Not scored
value score
Phi-3.5 Mini
71
value score
WizardLM-2 8x22B ctx
—
Phi-3.5 Mini ctx
128K
Capability radar
Value · context · multimodal · openness · speed posture
Value head-to-head
- Phi-3.5 Mini71
Attribute tape
| Field | WizardLM-2 8x22B | Phi-3.5 Mini |
|---|---|---|
| Developer | Microsoft AI | Microsoft AI |
| Context | — | 128K |
| Modalities | Text, Code | |
| Openness | — | Open Weights |
| Speed | — | — |
| Price | — | — |
| Value score | — | 71 |
| Summary | WizardLM-2 8x22B is an open-weight instruction-tuned large language model released by Microsoft AI, built as a fine-tune of Mixtral 8x22B with a Mixture-of-Experts architecture totaling ~141B parameters. It targets general-purpose chat, reasoning, multilingual tasks, and agentic use cases with a context window of approximately 65K tokens. | Compact Phi model for edge and cheap inference. |