Side-by-side comparison
GLM 5 vs R1 0528
| GLM 5 | R1 0528 | |
|---|---|---|
| Provider | Z.ai | DeepSeek |
| Context window Maximum tokens (input + output) the model can process in a single request. Glossary → | 202,752 | 163,840 |
| 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 | 0.5000 |
| Output $ / 1M tokens Cost for tokens the model generates. Output is normally 3–5× pricier than input. Glossary → | 1.9200 | 2.1500 |
Frequently asked questions
Which is cheaper, GLM 5 or R1 0528?
GLM 5 is cheaper than R1 0528 on a 50/50 input/output blend by about $0.065 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, GLM 5 or R1 0528?
GLM 5 has the larger context window at 203k tokens versus 164k tokens for R1 0528. That means GLM 5 can ingest about 1.2x as much text per request.
What is the difference between GLM 5 and R1 0528?
GLM 5 comes from Z.ai; R1 0528 comes from DeepSeek. They differ in pricing, context window, and supported capabilities — see the side-by-side table on this page for the exact figures, refreshed nightly.