WizardLM-2 8x22BvsGPT-o3
Microsoft vs OpenAI — Side-by-side model comparison
Head-to-Head Comparison
| Metric | WizardLM-2 8x22B | GPT-o3 |
|---|---|---|
| Provider | Microsoft | |
| Arena Rank | — | #2 |
| Context Window | 64K | 200K |
| Input Pricing | Free (open)/1M tokens | $2.00/1M tokens |
| Output Pricing | Free (open)/1M tokens | $8.00/1M tokens |
| Parameters | 176B (39B active) | Undisclosed |
| Open Source | Yes | No |
| Best For | Complex instructions, reasoning, coding | Advanced reasoning, agentic tasks, research |
| Release Date | Apr 15, 2024 | Apr 16, 2025 |
WizardLM-2 8x22B
WizardLM-2 8x22B, developed by Microsoft, is an instruction-tuned Mixture-of-Experts model with 176 billion total parameters (39 billion active per token) and a 64K token context window. Built upon the Mixtral 8x22B architecture, it applies Microsoft's WizardLM training methodology to enhance complex instruction following, reasoning, and coding capabilities. The model demonstrates substantial improvements over its base on multi-step reasoning, structured output generation, and nuanced writing tasks. WizardLM-2 uses Evol-Instruct, a method that progressively evolves training instructions to increase complexity and diversity. Free and open-source, it can be deployed on enterprise multi-GPU setups. The model represents Microsoft's contribution to the open-source community through instruction-tuning research that advances the capability of existing base models without requiring new pre-training runs.
GPT-o3
GPT-o3 is OpenAI's most advanced reasoning model, succeeding o1 as the frontier of deliberative AI. It uses an enhanced chain-of-thought approach where the model spends more compute time 'thinking' before responding, dramatically improving performance on complex STEM, mathematical, and logical reasoning tasks. With a 200K token context window and the ability to use tools during reasoning, o3 represents a significant leap in AI problem-solving capabilities. It achieved state-of-the-art results on the ARC-AGI benchmark, demonstrating near-human performance on novel reasoning challenges. The model is particularly strong at multi-step mathematical proofs, complex code debugging, and scientific analysis where careful step-by-step reasoning is essential. Originally priced at a premium, an 80% price reduction in June 2025 made o3 accessible to a much broader range of developers and applications.
View OpenAI profile →Key Differences: WizardLM-2 8x22B vs GPT-o3
GPT-o3 supports a larger context window (200K), allowing it to process longer documents in a single request.
WizardLM-2 8x22B is open-source (free to self-host and fine-tune) while GPT-o3 is proprietary (API-only access).
When to use WizardLM-2 8x22B
- +You need to self-host or fine-tune the model
- +Your use case involves complex instructions, reasoning, coding
When to use GPT-o3
- +You need to process long documents (200K context)
- +You prefer a managed API without infrastructure overhead
- +Your use case involves advanced reasoning, agentic tasks, research
The Verdict
GPT-o3 wins our head-to-head comparison with 4 out of 5 category wins. It's the stronger choice for advanced reasoning, agentic tasks, research, though WizardLM-2 8x22B holds an edge in complex instructions, reasoning, coding.
Last compared: April 2026 · Data sourced from public benchmarks and official pricing pages