Compare the listed model data for Qwen3 32B by Qwen and Qwen3 235B-A22B (MoE) by Qwen. 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; Qwen3 235B-A22B (MoE): 128K tokens. The listed context-window values are equal. Qwen3 32B is listed for coding, reasoning, agentic workflows, long-context tasks; Qwen3 235B-A22B (MoE) is listed for coding, reasoning, agentic workflows, long-context tasks. Shared catalog benchmark entries: MMLU: Qwen3 32B 92.0%; Qwen3 235B-A22B (MoE) 93.5%; HumanEval: Qwen3 32B 92.7%; Qwen3 235B-A22B (MoE) 96.2%; MATH: Qwen3 32B 94.0%; Qwen3 235B-A22B (MoE) 96.6%; LiveCodeBench: Qwen3 32B 64.4%; Qwen3 235B-A22B (MoE) 70.7%; AIME 2025: Qwen3 32B 72.9%; Qwen3 235B-A22B (MoE) 85.7%. 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 235B total (22B active via MoE); the larger quantity is 7.34× the smaller. Total and active MoE parameters are not directly equivalent.
The catalog release dates are April 2025 and April 2025, about 0 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 Qwen3 235B-A22B (MoE) if…
Choose Qwen3 235B-A22B (MoE) when your task aligns with catalog-listed uses or strengths such as Frontier-level coding: production systems, open-source contributions, Leetcode hard, Competition mathematics, physics, and chemistry at graduate level, Enterprise AI applications requiring highest available open-model quality, Long-form technical writing: whitepapers, research papers, documentation.
Feature Comparison — Qwen3 32B vs Qwen3 235B-A22B (MoE)
Catalog specifications for Qwen3 32B and Qwen3 235B-A22B (MoE)
Specification
Qwen3 32B
Qwen3 235B-A22B (MoE)
Provider
Qwen
Qwen
Parameters
32B
235B total (22B active via MoE)
Context window
128K tokens
128K tokens
Maximum output
Not listed
Not listed
Catalog pricing
Open source — free. Third-party API ~$0.14-0.30/MTok
Open source — free to self-host. Third-party API ~$0.30-0.80/MTok
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
Apache 2.0
Coding support
Listed
Listed
Reasoning support
Listed
Listed
Vision input
Not listed
Not listed
Multimodal
Not listed
Not listed
Open weights
Yes
Yes
Benchmark: MMLU
92.0%
93.5%
Benchmark: HumanEval
92.7%
96.2%
Benchmark: MATH
94.0%
96.6%
Benchmark: LiveCodeBench
64.4%
70.7%
Benchmark: AIME 2025
72.9%
85.7%
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 Qwen3 235B-A22B (MoE)?
Qwen3 32B: 128K tokens; Qwen3 235B-A22B (MoE): 128K tokens. The listed context-window values are equal. Qwen3 32B is listed for coding, reasoning, agentic workflows, long-context tasks; Qwen3 235B-A22B (MoE) is listed for coding, reasoning, agentic workflows, long-context tasks. Shared catalog benchmark entries: MMLU: Qwen3 32B 92.0%; Qwen3 235B-A22B (MoE) 93.5%; HumanEval: Qwen3 32B 92.7%; Qwen3 235B-A22B (MoE) 96.2%; MATH: Qwen3 32B 94.0%; Qwen3 235B-A22B (MoE) 96.6%; LiveCodeBench: Qwen3 32B 64.4%; Qwen3 235B-A22B (MoE) 70.7%; AIME 2025: Qwen3 32B 72.9%; Qwen3 235B-A22B (MoE) 85.7%. 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 Qwen3 235B-A22B (MoE)?
MMLU: Qwen3 32B 92.0%; Qwen3 235B-A22B (MoE) 93.5%; HumanEval: Qwen3 32B 92.7%; Qwen3 235B-A22B (MoE) 96.2%; MATH: Qwen3 32B 94.0%; Qwen3 235B-A22B (MoE) 96.6%; LiveCodeBench: Qwen3 32B 64.4%; Qwen3 235B-A22B (MoE) 70.7%; AIME 2025: Qwen3 32B 72.9%; Qwen3 235B-A22B (MoE) 85.7%. 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; Qwen3 235B-A22B (MoE): 128K tokens. The listed context-window values are equal.
What are the listed costs per million tokens for Qwen3 32B and Qwen3 235B-A22B (MoE)?
Qwen3 32B: input $0.3, output $0.7 per 1M tokens (Open source — free. Third-party API ~$0.14-0.30/MTok). Qwen3 235B-A22B (MoE): Separate numeric input/output rates not listed (Open source — free to self-host. Third-party API ~$0.30-0.80/MTok). 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 Qwen3 235B-A22B (MoE)?
The catalog lists Qwen3 32B as April 2025 and Qwen3 235B-A22B (MoE) as April 2025, about 0 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 Qwen3 235B-A22B (MoE)?
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 Qwen3 235B-A22B (MoE) on your actual tasks. No credit card, no API key, no subscriptions needed.