GLM-4.5 vs Qwen3-32B
A complete head-to-head: pricing, context window, benchmarks, modality coverage, and openness, with a programmatic verdict synthesized from the underlying data.
Updated
GLM-4.5 specs · Qwen3-32B specs- PriceTie
Neither model publishes per-token API pricing.
- Context windowTie
Both ship a 128K-token context window.
- BenchmarksTie
No directly comparable public benchmarks are available for both models, check the spec sheets for individual scores.
- ModalitiesGLM-4.5
GLM-4.5 supports 2 modalities (text, vision) vs 1 for Qwen3-32B.
- OpennessTie
Both ship open weights, self-host either one.
On balance GLM-4.5 edges ahead, winning 1 of 5 categories against Qwen3-32B's 0. Neither model publishes per-token API pricing. Both ship a 128K-token context window.
No directly comparable public benchmarks are available for both models, check the spec sheets for individual scores. They differ in modality coverage, GLM-4.5 handles text, vision while Qwen3-32B handles text, which can be the deciding factor before you even look at benchmarks. Both ship open weights, self-host either one.
GLM-4.5 is the newer of the two, released 3 months after Qwen3-32B, which usually means a more recent knowledge cutoff and updated safety post-training. GLM-4.5 is usually picked for chinese llm and open source llm workloads, while Qwen3-32B sees more deployments in open source llm and edge deployment. If pricing matters more than every last benchmark point, run the numbers in the calculator below before committing.
Side-by-side specs
| Spec | GLM-4.5 | Qwen3-32B |
|---|---|---|
| Provider | Other | Alibaba |
| Released | Jul 2025 | Apr 2025 |
| Modalities | text, vision | text |
| Context window | 128K tokens | 128K tokens |
| Max output | , | , |
| Input · 1M | Pricing not published | Pricing not published |
| Output · 1M | Pricing not published | Pricing not published |
| Knowledge cutoff | , | , |
| Open weights | Yes (MIT) | Yes (Apache-2.0) |
| API available | Yes | Yes |
Pricing at scale
What you'd actually pay at typical workloads. Numbers come from each model's published per-million-token rates.
- Light usage, 100k in / 50k out per day, vs ,
- Heavy usage, 1M in / 500k out per day, vs ,
- RAG workload, 5M in / 200k out per day, vs ,
Light usage, 100k in / 50k out per day: pricing not directly comparable (one or both models are missing public per-token rates). Heavy usage, 1M in / 500k out per day: pricing not directly comparable (one or both models are missing public per-token rates). RAG workload, 5M in / 200k out per day: pricing not directly comparable (one or both models are missing public per-token rates).
Estimated spend for the listed models at your usage. Numbers are derived from each model's published per-million-token rates.
- GLM-4.5Pricing unavailable
- Qwen3-32BPricing unavailable
Benchmarks compared
Only sourced numbers. Where a benchmark is missing for one model we show the available value rather than fabricating the other.
GLM-4.5 fits when…
- MIT license
- Strong Chinese
- Multimodal
- Multimodal needs covering vision.
Qwen3-32B fits when…
- Apache-2.0
- Fits modest hardware budgets
Consider DBRX
Databricks' 132B MoE, a notable 2024 open-weight release tuned for enterprise.
Frequently asked
Is GLM-4.5 or Qwen3-32B cheaper?
Per-token pricing isn't published for at least one of these models, check each model's spec page for current rates.Which has the larger context window?
Both GLM-4.5 and Qwen3-32B ship a 128K-token context window.Is GLM-4.5 or Qwen3-32B better for coding?
Both GLM-4.5 and Qwen3-32B are competitive on coding benchmarks. See each model's individual spec page for HumanEval and SWE-bench scores where published. For an opinionated pick, consult our Best LLM for Coding ranking.Are either of these models open source?
Both ship with open weights. GLM-4.5 is licensed under MIT; Qwen3-32B under Apache-2.0.When were GLM-4.5 and Qwen3-32B released?
GLM-4.5 was released by Other on 2025-07-28. Qwen3-32B was released by Alibaba on 2025-04-29.
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