WizardLM 2 8x22B
Neural Network
WizardLM 2 8x22B is an open Microsoft AI model for complex text tasks and reasoning, available via API in BotHub.
Max answer length
(in tokens)
Context size
(in tokens)
Prompt cost
(per 1M tokens)
Answer cost
(per 1M tokens)
How it works WizardLM 2 8x22B?
WizardLM 2 8x22B is an open language model from Microsoft AI and an evolution of the Wizard line. Developers position it as competitive with leading proprietary models and superior to open solutions of a comparable class. The 8x22B designation reflects a mixture-of-experts architecture, where a subset of experts is activated for each request. Through BotHub, the model is accessible without a VPN or foreign card; you can pay with a Russian card in rubles, paying only for tokens actually consumed, which do not expire. Over 250 neural networks are available in one window: it's easy to compare answers and switch models, and a unified OpenAI-compatible API allows connecting WizardLM 2 8x22B to your service without rewriting the integration. Chats are encrypted via AES-GCM; for companies, we provide contracts, invoices, and electronic document management. It is useful for summarizing voluminous text, drafting letters and documents, step-by-step analysis of logical or analytical tasks, building a conversational assistant within a product, and testing how well an open model handles a task before switching to a proprietary one.Frequently asked questions about WizardLM 2 8x22B
You can use generated results for commercial purposes. You own all rights to the content you create. The only restriction: make sure your prompt does not include copyrighted third-party material. You are responsible for respecting the rights to any input data.
This is a Microsoft text model: it writes and edits texts, analyzes documents, and helps with code and logical task analysis. A 65,536-token context allows keeping long materials in one dialogue, and you can input not only text but also images and documents.
The model generates up to 8,000 tokens per response — enough for a voluminous article, detailed analysis, or a large code fragment. If there is more material, ask it to continue: the 65,536-token context allows assembling long text in parts within a single dialogue.
A separate reasoning mode is not noted in our data, but that doesn't mean the model can't handle logic tasks. A practical tip: ask it to break down the condition step-by-step before concluding. A step-by-step instruction in the prompt usually significantly improves answers for calculations and analysis.
Support for function calling and strict JSON mode is not noted in our data, so you shouldn't rely on them without verification. You can describe the required format directly in the prompt. And via the unified OpenAI-compatible API, you can switch to a model with function calling without rewriting the integration.
Images and documents — yes: send a scan, PDF page, diagram, or screenshot and ask to extract data, summarize, or compare with text. Audio and video are not declared in our data — for those, BotHub has separate models in the same window.
The language of prompts and responses is not specified in our data, so we won't promise the quality of Russian. The easiest way to check is yourself: enter your typical query and compare the result with another model in the same window. Access from Russia without VPN or foreign card, payment in rubles.