Reka Edge vs GLM 4 32B
| Reka Edge | GLM 4 32B | |
|---|---|---|
| Provider | Rekaai | Z.ai |
| Context window Maximum tokens (input + output) the model can process in a single request. Glossary β | 16,384 | 128,000 |
| Capabilities Optional capabilities the model advertises: vision (images), tools (function calling), json_mode (structured output). | vision, tools | tools |
| Input $ / 1M tokens Cost for tokens you send (prompt + context). Cheaper side highlighted. Glossary β | 0.1000 | 0.1000 |
| Output $ / 1M tokens Cost for tokens the model generates. Output is normally 3β5Γ pricier than input. Glossary β | 0.1000 | 0.1000 |
Frequently asked questions
Which is cheaper, Reka Edge or GLM 4 32B ?
Reka Edge is cheaper than GLM 4 32B on a 50/50 input/output blend by about $0 per 1M tokens. Exact savings depend on your input-vs-output ratio β use the cost calculator on this page for a workload-specific estimate.
Which has a larger context window, Reka Edge or GLM 4 32B ?
GLM 4 32B has the larger context window at 128k tokens versus 16k tokens for Reka Edge. That means GLM 4 32B can ingest about 7.8x as much text per request.
What is the difference between Reka Edge and GLM 4 32B ?
Reka Edge comes from Rekaai; GLM 4 32B comes from Z.ai. They differ in pricing, context window, and supported capabilities β see the side-by-side table on this page for the exact figures, refreshed nightly.