Mercury 2 vs GLM 4.5 Air
| Mercury 2 | GLM 4.5 Air | |
|---|---|---|
| Provider | Inception | Z.ai |
| Context window Maximum tokens (input + output) the model can process in a single request. Glossary β | 128,000 | 131,072 |
| Capabilities Optional capabilities the model advertises: vision (images), tools (function calling), json_mode (structured output). | tools, json_mode | tools |
| Input $ / 1M tokens Cost for tokens you send (prompt + context). Cheaper side highlighted. Glossary β | 0.2500 | 0.1300 |
| Output $ / 1M tokens Cost for tokens the model generates. Output is normally 3β5Γ pricier than input. Glossary β | 0.7500 | 0.8500 |
Frequently asked questions
Which is cheaper, Mercury 2 or GLM 4.5 Air?
GLM 4.5 Air is cheaper than Mercury 2 on a 50/50 input/output blend by about $0.01 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, Mercury 2 or GLM 4.5 Air?
GLM 4.5 Air has the larger context window at 131k tokens versus 128k tokens for Mercury 2. That means GLM 4.5 Air can ingest about 1.0x as much text per request.
What is the difference between Mercury 2 and GLM 4.5 Air?
Mercury 2 comes from Inception; GLM 4.5 Air 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.