WizardLM-2 8x22B is Microsoft's Evol-Instruct MoE flagship — 141B total parameters delivering GPT-4-level instruction following with the efficiency of Mixtral's Mixture-of-Experts architecture.
WizardLM 2 8x22B is an AI model released April 2024 by WizardLM, a leading organization in large language model research. WizardLM-2 8x22B MoE — excellent at following complex instructions, creative writing, and complex reasoning tasks. With 8x22B MoE and a 64K tokens context window, WizardLM 2 8x22B is designed to excel across a range of demanding tasks — from software engineering and mathematical problem-solving to multilingual content generation and long-document analysis.
WizardLM 2 8x22B employs a Mixture-of-Experts (MoE) architecture with 8x22B MoE. In a MoE design, only a subset of "expert" sub-networks activates for each token during inference — WizardLM 2 8x22B has 8x22B MoE total parameters but uses only a fraction per token. This allows the model to store significantly more learned knowledge than a comparably-priced dense model. MoE architectures have proven effective at reaching frontier-level capability while keeping serving costs manageable — a key reason WizardLM 2 8x22B can be offered at the scale that platforms like LITHOVEX AI make possible.
As of 2026-10-16, WizardLM 2 8x22B by WizardLM demonstrates measurable performance on standard AI evaluation benchmarks. On MT-Bench — which measures model performance on specialized evaluation tasks — it achieves 9.01. For software engineering tasks, WizardLM 2 8x22B scores 78.0% on HumanEval, which tests ability to write correct functions from docstrings. These scores place WizardLM 2 8x22B — at 8x22B MoE of parameters — in a competitive position within its model class. Note that benchmark scores reflect controlled evaluation conditions; real-world performance varies by task, prompt design, and domain specificity.
The primary strengths of WizardLM 2 8x22B are: 9.01 MT-Bench — GPT-4-competitive at April 2024 release; WizardLM Evol-Instruct produces highly capable instruction following. These make it particularly well-suited for Research on instruction tuning methods, High-quality academic writing assistance. Users working on complex, multi-step problems benefit most from WizardLM 2 8x22B's ability to maintain coherence across long inputs and produce structured, verifiable outputs.
Like all current AI systems, WizardLM 2 8x22B has limitations: CC-BY-NC — not for commercial use; Superseded by newer models; Knowledge cutoff April 2024. For production deployments, validating outputs against authoritative sources — especially for domain-specific or time-sensitive information — remains best practice. WizardLM continues to improve WizardLM 2 8x22B through ongoing research.
WizardLM 2 8x22B is available on LITHOVEX AI with a free account. Unlike direct API access — which requires billing setup, API key management, and per-token charges — LITHOVEX AI provides a seamless browser interface with no setup required, making WizardLM 2 8x22B accessible to students, researchers, developers, and early-stage teams globally.
As of 2026-10-16, WizardLM 2 8x22B by WizardLM demonstrates measurable performance on standard AI evaluation benchmarks. On MT-Bench — which measures model performance on specialized evaluation tasks — it achieves 9.01. For software engineering tasks, WizardLM 2 8x22B scores 78.0% on HumanEval, which tests ability to write correct functions from docstrings. These scores place WizardLM 2 8x22B — at 8x22B MoE of parameters — in a competitive position within its model class. Note that benchmark scores reflect controlled evaluation conditions; real-world performance varies by task, prompt design, and domain specificity.
Mixture-of-Experts 8x22B (Mixtral base), WizardLM instruction-tuned
The training pipeline for WizardLM 2 8x22B involves multiple stages: large-scale pretraining on diverse multilingual text and code corpora to develop broad world knowledge, followed by supervised fine-tuning on instruction-response pairs, and alignment techniques such as RLHF or DPO. Each stage refines the model's helpfulness, accuracy, and safety. WizardLM's research team — based in United States — has optimized WizardLM 2 8x22B for the specific capability profile described above.
Inference efficiency: WizardLM 2 8x22B at 8x22B MoE is designed to deliver quality outputs at practical serving speeds. Its 64K tokens context window enables processing entire documents, multi-file codebases, and extended conversation histories — particularly valuable for contract review, technical documentation analysis, and codebase-level AI assistance.
Getting started with WizardLM 2 8x22B on LITHOVEX AI takes under two minutes. Follow these steps:
For best results with WizardLM 2 8x22B: provide specific, context-rich prompts; include examples when generating code; specify output format when structure matters; break complex tasks into focused sub-questions.
Complex instruction following for enterprise task automation
High-quality content generation rivaling GPT-4
Advanced multi-step reasoning and analysis
Professional document drafting and editing
Knowledge synthesis from complex multi-part questions
WizardLM is a research project from Microsoft Research focused on enhancing instruction-following capabilities in open base models using an automated data evolution technique called "Evol-Instruct." The approach uses a teacher LLM to rewrite seed prompts into progressively more complex and diverse instructions, creating training data that produces models with dramatically improved performance on complex task following. WizardLM and WizardCoder models became widely adopted in the open-source community for their strong performance despite modest model sizes. The technique influenced subsequent instruction-tuning research across the field.
Founded: 2023, headquartered in United States.
WizardLM 2 8x22B by WizardLM competes in a field with several strong alternatives. Below is a detailed side-by-side comparison against commonly listed alternatives, using benchmark data and capability profiles in the catalog.
Both WizardLM 2 8x22B and the models above are available free on LITHOVEX AI — test them side by side on your real tasks before committing to a subscription with any provider.
WizardLM 2 8x22B is released under CC BY-NC 4.0, which means you can download and run it on your own hardware. Below are the quickest ways to get started.
LITHOVEX AI runs WizardLM 2 8x22B on cloud infrastructure, so you can use it instantly in your browser without downloading anything, configuring drivers, or managing VRAM. Create a free account and start in under 60 seconds.
WizardLM-2 8x22B was among the most impressive open-source instruction-following releases of 2024, achieving GPT-4 competitive scores through innovative Evol-Instruct data synthesis. Global developers seeking high-quality instruction following at lower cost than frontier APIs adopted it widely.
WizardLM 2 8x22B by WizardLM has the following version history and notable updates:
For the complete changelog and latest release notes, visit the official WizardLM model page.