GLM-4.5 vs Qwen3-72B
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 · Qwen3-72B 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 Qwen3-72B.
- OpennessTie
Both ship open weights, self-host either one.
On balance GLM-4.5 edges ahead, winning 1 of 5 categories against Qwen3-72B'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 Qwen3-72B 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 Qwen3-72B, 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 Qwen3-72B sees more deployments in open source llm and commercial use llm. 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 | Qwen3-72B |
|---|---|---|
| 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
- Qwen3-72BPricing unavailable
Benchmarks compared
Only sourced numbers. Where a benchmark is missing for one model we show the available value rather than fabricating the other.
- MMLU,84.0
GLM-4.5 fits when…
- MIT license
- Strong Chinese
- Multimodal
- Multimodal needs covering vision.
Qwen3-72B fits when…
- Apache-2.0 license
- Strongest open-weight on Chinese
- Strong multilingual coverage
Consider DBRX
Databricks' 132B MoE, a notable 2024 open-weight release tuned for enterprise.
Frequently asked
Is GLM-4.5 or Qwen3-72B 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 Qwen3-72B ship a 128K-token context window.Is GLM-4.5 or Qwen3-72B better for coding?
Both GLM-4.5 and Qwen3-72B 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; Qwen3-72B under Apache-2.0.When were GLM-4.5 and Qwen3-72B released?
GLM-4.5 was released by Other on 2025-07-28. Qwen3-72B was released by Alibaba on 2025-04-29.
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