L LLM Cloud Hub
Side-by-side comparison

GLM 4.5 Air vs Mercury 2

Z.ai

GLM 4.5 Air

πŸ”§ Tools
Input / 1M
$0.1300
Output / 1M
$0.8500
View GLM 4.5 Air β†’
Inception

Mercury 2

πŸ”§ Tools {} JSON
Input / 1M
$0.2500
Output / 1M
$0.7500
View Mercury 2 β†’
GLM 4.5 AirMercury 2
Provider Z.ai Inception
Context window Maximum tokens (input + output) the model can process in a single request. Glossary β†’ 131,072 128,000
Capabilities Optional capabilities the model advertises: vision (images), tools (function calling), json_mode (structured output). tools tools, json_mode
Input $ / 1M tokens Cost for tokens you send (prompt + context). Cheaper side highlighted. Glossary β†’ 0.1300 0.2500
Output $ / 1M tokens Cost for tokens the model generates. Output is normally 3–5Γ— pricier than input. Glossary β†’ 0.8500 0.7500

Frequently asked questions

Which is cheaper, GLM 4.5 Air or Mercury 2?

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, GLM 4.5 Air or Mercury 2?

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 GLM 4.5 Air and Mercury 2?

GLM 4.5 Air comes from Z.ai; Mercury 2 comes from Inception. 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.

Keyboard shortcuts

?
Show this overlay
/
Focus the first form field
g h
Go to / (home)
g b
Go to /best-llm-for
g c
Go to /cost
g s
Go to /self-hosted
g x
Go to /compliance
Esc
Close any overlay

Inspired by Linear and GitHub conventions. The two-key sequences (g then h) work within ~1 second.