Side-by-side comparison
Sonar vs GLM 4.5V
| Sonar | GLM 4.5V | |
|---|---|---|
| Provider | Perplexity | Z.ai |
| Context window Maximum tokens (input + output) the model can process in a single request. Glossary → | 127,072 | 65,536 |
| Capabilities Optional capabilities the model advertises: vision (images), tools (function calling), json_mode (structured output). | vision | vision, tools |
| Input $ / 1M tokens Cost for tokens you send (prompt + context). Cheaper side highlighted. Glossary → | 1.0000 | 0.6000 |
| Output $ / 1M tokens Cost for tokens the model generates. Output is normally 3–5× pricier than input. Glossary → | 1.0000 | 1.8000 |
Frequently asked questions
Which is cheaper, Sonar or GLM 4.5V?
Sonar is cheaper than GLM 4.5V on a 50/50 input/output blend by about $0.2 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, Sonar or GLM 4.5V?
Sonar has the larger context window at 127k tokens versus 66k tokens for GLM 4.5V. That means Sonar can ingest about 1.9x as much text per request.
What is the difference between Sonar and GLM 4.5V?
Sonar comes from Perplexity; GLM 4.5V 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.