Compare the listed model data for Qwen3 32B by Qwen and GLM-4 32B (Apr 14) by Zhipu AI. 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; GLM-4 32B (Apr 14): 128K tokens. The listed context-window values are equal. Qwen3 32B is listed for coding, reasoning, agentic workflows, long-context tasks; GLM-4 32B (Apr 14) is listed for no specific capability flags. Shared catalog benchmark entries: MMLU: Qwen3 32B 92.0%; GLM-4 32B (Apr 14) 82.7%; HumanEval: Qwen3 32B 92.7%; GLM-4 32B (Apr 14) 79.3%. 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 32B; the larger quantity is 1× 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
Using only the catalog's listed per-million-token rates, 1M input plus 1M output tokens costs about $1 for Qwen3 32B and $0.9 for GLM-4 32B (Apr 14). This excludes provider-specific discounts, caching, and other fees.
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 GLM-4 32B (Apr 14) if…
Choose GLM-4 32B (Apr 14) when your task aligns with catalog-listed uses or strengths such as Enterprise AI for Chinese-speaking markets, Bilingual Chinese-English document analysis, Chinese legal, medical, and financial processing, Strong bilingual Chinese-English — best open 32B for Chinese tasks.
Feature Comparison — Qwen3 32B vs GLM-4 32B (Apr 14)
Catalog specifications for Qwen3 32B and GLM-4 32B (Apr 14)
Specification
Qwen3 32B
GLM-4 32B (Apr 14)
Provider
Qwen
Zhipu AI
Parameters
32B
32B
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
Apache 2.0 — free
Listed input/output cost per 1M tokens
input $0.3, output $0.7 per 1M tokens
input $0.3, output $0.6 per 1M tokens
License
Apache 2.0
Apache 2.0
Coding support
Listed
Not 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%
82.7%
Benchmark: HumanEval
92.7%
79.3%
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 GLM-4 32B (Apr 14)?
Qwen3 32B: 128K tokens; GLM-4 32B (Apr 14): 128K tokens. The listed context-window values are equal. Qwen3 32B is listed for coding, reasoning, agentic workflows, long-context tasks; GLM-4 32B (Apr 14) is listed for no specific capability flags. Shared catalog benchmark entries: MMLU: Qwen3 32B 92.0%; GLM-4 32B (Apr 14) 82.7%; HumanEval: Qwen3 32B 92.7%; GLM-4 32B (Apr 14) 79.3%. 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 GLM-4 32B (Apr 14)?
MMLU: Qwen3 32B 92.0%; GLM-4 32B (Apr 14) 82.7%; HumanEval: Qwen3 32B 92.7%; GLM-4 32B (Apr 14) 79.3%. 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; GLM-4 32B (Apr 14): 128K tokens. The listed context-window values are equal.
What are the listed costs per million tokens for Qwen3 32B and GLM-4 32B (Apr 14)?
Qwen3 32B: input $0.3, output $0.7 per 1M tokens (Open source — free. Third-party API ~$0.14-0.30/MTok). GLM-4 32B (Apr 14): input $0.3, output $0.6 per 1M tokens (Apache 2.0 — free). 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 GLM-4 32B (Apr 14)?
The catalog lists Qwen3 32B as April 2025 and GLM-4 32B (Apr 14) 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 GLM-4 32B (Apr 14)?
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 GLM-4 32B (Apr 14) on your actual tasks. No credit card, no API key, no subscriptions needed.