Side-by-side comparison
GLM 4.5 vs Qwen3 235B A22B
| GLM 4.5 | Qwen3 235B A22B | |
|---|---|---|
| Provider | Z.ai | Qwen |
| Context window Maximum tokens (input + output) the model can process in a single request. Glossary → | 131,072 | 131,072 |
| Capabilities Optional capabilities the model advertises: vision (images), tools (function calling), json_mode (structured output). | tools, json_mode | tools, json_mode |
| Input $ / 1M tokens Cost for tokens you send (prompt + context). Cheaper side highlighted. Glossary → | 0.6000 | 0.4550 |
| Output $ / 1M tokens Cost for tokens the model generates. Output is normally 3–5× pricier than input. Glossary → | 2.2000 | 1.8200 |
Frequently asked questions
Which is cheaper, GLM 4.5 or Qwen3 235B A22B?
Qwen3 235B A22B is cheaper than GLM 4.5 on a 50/50 input/output blend by about $0.2625 per 1M tokens. Exact savings depend on your input-vs-output ratio — use the cost calculator on this page for a workload-specific estimate.
What is the difference between GLM 4.5 and Qwen3 235B A22B?
GLM 4.5 comes from Z.ai; Qwen3 235B A22B comes from Qwen. They differ in pricing, context window, and supported capabilities — see the side-by-side table on this page for the exact figures, refreshed nightly.