Side-by-side comparison
Qwen3 235B A22B vs GLM 5
| Qwen3 235B A22B | GLM 5 | |
|---|---|---|
| Provider | Qwen | Z.ai |
| Context window Maximum tokens (input + output) the model can process in a single request. Glossary → | 131,072 | 202,752 |
| 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 → | 0.4550 | 0.6000 |
| Output $ / 1M tokens Cost for tokens the model generates. Output is normally 3–5× pricier than input. Glossary → | 1.8200 | 1.9200 |
Frequently asked questions
Which is cheaper, Qwen3 235B A22B or GLM 5?
Qwen3 235B A22B is cheaper than GLM 5 on a 50/50 input/output blend by about $0.1225 per 1M tokens. Exact savings depend on your input-vs-output ratio — use the cost calculator on this page for a workload-specific estimate.
Which has a larger context window, Qwen3 235B A22B or GLM 5?
GLM 5 has the larger context window at 203k tokens versus 131k tokens for Qwen3 235B A22B. That means GLM 5 can ingest about 1.5x as much text per request.
What is the difference between Qwen3 235B A22B and GLM 5?
Qwen3 235B A22B comes from Qwen; GLM 5 comes from Z.ai. They differ in pricing, context window, and supported capabilities — see the side-by-side table on this page for the exact figures, refreshed nightly.