Compare the listed model data for Qwen3 32B by Qwen and WizardLM 2 8x22B by WizardLM. Benchmark and pricing records are not a controlled test and may change.
Data last updated: 2026-10-16. Verify current model details with each provider.
What the listed data says
Qwen3 32B: 128K tokens; WizardLM 2 8x22B: 64K tokens. Qwen3 32B has the larger listed context window. Qwen3 32B is listed for coding, reasoning, agentic workflows, long-context tasks; WizardLM 2 8x22B is listed for coding, long-context tasks. Shared catalog benchmark entries: MMLU: Qwen3 32B 92.0%; WizardLM 2 8x22B 77.2%; HumanEval: Qwen3 32B 92.7%; WizardLM 2 8x22B 78.0%. These records are reference data, not a controlled head-to-head test; verify current pricing and specifications with each provider.
Catalog source links
Use these model and provider links to verify current specifications, pricing, and availability.
The first listed parameter quantities are 32B and 8x22B MoE; the larger quantity is 1.45× the smaller. Total and active MoE parameters are not directly equivalent.
The catalog release dates are April 2025 and April 2024, about 12 months apart at the precision supplied.
Cost example: 1M input and 1M output tokens
A cost example for 1M input plus 1M output tokens cannot be calculated reliably because separate numeric input and output rates are not listed for both models.
Choose Qwen3 32B if…
Choose Qwen3 32B when your task aligns with catalog-listed uses or strengths such as Production coding assistants for enterprise software teams, Mathematical reasoning and data science, Complex document analysis and long-form reporting, Multilingual enterprise applications.
Choose WizardLM 2 8x22B if…
Choose WizardLM 2 8x22B when your task aligns with catalog-listed uses or strengths such as Research on instruction tuning methods, High-quality academic writing assistance, 9.01 MT-Bench — GPT-4-competitive at April 2024 release, WizardLM Evol-Instruct produces highly capable instruction following.
Feature Comparison — Qwen3 32B vs WizardLM 2 8x22B
Catalog specifications for Qwen3 32B and WizardLM 2 8x22B
Specification
Qwen3 32B
WizardLM 2 8x22B
Provider
Qwen
WizardLM
Parameters
32B
8x22B MoE
Context window
128K tokens
64K tokens
Maximum output
Not listed
Not listed
Catalog pricing
Open source — free. Third-party API ~$0.14-0.30/MTok
CC-BY-NC — free for non-commercial research
Listed input/output cost per 1M tokens
input $0.3, output $0.7 per 1M tokens
Separate numeric input/output rates not listed
License
Apache 2.0
CC BY-NC 4.0
Coding support
Listed
Listed
Reasoning support
Listed
Not listed
Vision input
Not listed
Not listed
Multimodal
Not listed
Not listed
Open weights
Yes
Yes
Benchmark: MMLU
92.0%
77.2%
Benchmark: HumanEval
92.7%
78.0%
Figures are transcribed from LITHOVEX model records. Benchmark versions and evaluation setups may differ; pricing and specifications can change. Check each provider's current documentation before making a decision.
Frequently Asked Questions
What is different between Qwen3 32B and WizardLM 2 8x22B?
Qwen3 32B: 128K tokens; WizardLM 2 8x22B: 64K tokens. Qwen3 32B has the larger listed context window. Qwen3 32B is listed for coding, reasoning, agentic workflows, long-context tasks; WizardLM 2 8x22B is listed for coding, long-context tasks. Shared catalog benchmark entries: MMLU: Qwen3 32B 92.0%; WizardLM 2 8x22B 77.2%; HumanEval: Qwen3 32B 92.7%; WizardLM 2 8x22B 78.0%. These records are reference data, not a controlled head-to-head test; verify current pricing and specifications with each provider.
What benchmark values are listed for Qwen3 32B and WizardLM 2 8x22B?
MMLU: Qwen3 32B 92.0%; WizardLM 2 8x22B 77.2%; HumanEval: Qwen3 32B 92.7%; WizardLM 2 8x22B 78.0%. The catalog values may use different versions and evaluation setups, so they are reference points rather than a controlled head-to-head result.
Which model has the larger listed context window?
Qwen3 32B: 128K tokens; WizardLM 2 8x22B: 64K tokens. Qwen3 32B has the larger listed context window.
What are the listed costs per million tokens for Qwen3 32B and WizardLM 2 8x22B?
Qwen3 32B: input $0.3, output $0.7 per 1M tokens (Open source — free. Third-party API ~$0.14-0.30/MTok). WizardLM 2 8x22B: Separate numeric input/output rates not listed (CC-BY-NC — free for non-commercial research). Where separate numeric input and output rates are available, the worked example uses 1M input plus 1M output tokens. Confirm current terms with each provider.
How far apart are the listed release dates for Qwen3 32B and WizardLM 2 8x22B?
The catalog lists Qwen3 32B as April 2025 and WizardLM 2 8x22B as April 2024, about 12 months apart at the precision supplied.
When was the comparison data last updated?
The model catalog records 2026-10-16 as its data update date. Provider specifications and prices may have changed since then.
How should I choose between Qwen3 32B and WizardLM 2 8x22B?
Compare the listed specifications and capabilities, review the benchmark notes, then test both with the same representative prompt for your task. This page does not claim a universal winner.
Create your free LITHOVEX account and compare Qwen3 32B and WizardLM 2 8x22B on your actual tasks. No credit card, no API key, no subscriptions needed.