Side-by-side comparison
GLM 4.7 vs R1 0528
| GLM 4.7 | 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 → | 0.4000 | 0.5000 |
| Output $ / 1M tokens Cost for tokens the model generates. Output is normally 3–5× pricier than input. Glossary → | 1.7500 | 2.1500 |
Frequently asked questions
Which is cheaper, GLM 4.7 or R1 0528?
GLM 4.7 is cheaper than R1 0528 on a 50/50 input/output blend by about $0.25 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 4.7 or R1 0528?
GLM 4.7 has the larger context window at 203k tokens versus 164k tokens for R1 0528. That means GLM 4.7 can ingest about 1.2x as much text per request.
What is the difference between GLM 4.7 and R1 0528?
GLM 4.7 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.