WizardLM-2 8x22B

WizardLM-2 8x22B by Microsoft excels in the Coding category, where it ranks #335 with a composite score of 28/100. WizardLM-2 8x22B is Microsoft AI's most advanced Wizard model. It demonstrates highly competitive performance compared to leading proprietary models, and it consistently outperforms all existing state-of-the-art opensource models. It is... It is particularly strong in areas highlighted by its top benchmark performance and adoption metrics, making it suitable for both individual developers and enterprise teams looking for a reliable coding solution.

WizardLM-2 8x22B is priced at $0.62 per million input tokens and $0.62 per million output tokens (USD). Contact the provider for volume discounts and enterprise pricing. Pricing is competitive within the coding category and reflects the model's quality-to-cost ratio.

In the Coding category, WizardLM-2 8x22B holds rank #335 out of 341 models tracked. Its quality rank is #335 and adoption rank is #335. You can use our comparison tool at /compare to see detailed side-by-side metrics with specific alternatives. Key differentiators include its composite scoring across benchmarks, community sentiment, and real-world adoption rates.

WizardLM-2 8x22B has been evaluated across 6 different signals. Its strongest areas include Capabilities (17/100), Benchmarks (31/100), Pricing (99/100). These scores are derived from industry-standard benchmarks, community ratings, and real-world performance metrics. The composite score of 28/100 reflects a weighted combination of all tracked signals.

WizardLM-2 8x22B is a paid model, though some providers may offer trial credits or limited free tiers for evaluation. Check Microsoft's website for current free tier availability and promotional offers.

WizardLM-2 8x22B supports a 66K token context window (65,535 tokens total). That translates to roughly 49,151 words in a single prompt. Plenty for most coding tasks, medium-length documents, and extended conversations.

WizardLM-2 8x22B can generate up to 8K output tokens (8,000 tokens) per response. That is roughly 6,000 words. Sufficient for typical conversations, code snippets, and summaries.

WizardLM-2 8x22B supports streaming responses. These capabilities determine which workflows and integrations the model can handle natively.

Yes, WizardLM-2 8x22B is an open-source model. You can download the weights, run it locally, fine-tune it for your use case, or deploy it on your own infrastructure. Many cloud providers also offer hosted versions if you prefer not to manage the infrastructure yourself. Self-hosting gives you full control over data privacy and eliminates per-token API costs.

WizardLM-2 8x22B was developed by Microsoft. It was released on April 16, 2024. You can access it through Microsoft's API or download the model weights directly. Check our provider page for all models from Microsoft and how they compare against each other.

Pick WizardLM-2 8x22B when you need a budget-friendly option for high-volume, simpler tasks where you prioritize cost over peak performance. If your task is straightforward text completion or classification, a cheaper model might give you 90% of the quality at a fraction of the price. Run a quick benchmark on your actual use case before committing.

You can access WizardLM-2 8x22B through Microsoft's API using standard HTTP requests or their official SDK. Most providers support OpenAI-compatible endpoints, so switching between models often requires changing just the model name in your API call. Streaming is supported for real-time token-by-token output. For production use, implement proper error handling, rate limiting, and cost monitoring.