L LLM Cloud Hub
Side-by-side comparison

GLM 5V Turbo vs MoonshotAI Kimi Latest

Z.ai

GLM 5V Turbo

πŸ‘ Vision πŸ”§ Tools {} JSON
Input / 1M
$1.2000
Output / 1M
$4.0000
View GLM 5V Turbo β†’
MoonshotAI

MoonshotAI Kimi Latest

πŸ‘ Vision πŸ”§ Tools {} JSON
Input / 1M
$0.7300
Output / 1M
$3.4900
View MoonshotAI Kimi Latest β†’
GLM 5V TurboMoonshotAI Kimi Latest
Provider Z.ai MoonshotAI
Context window Maximum tokens (input + output) the model can process in a single request. Glossary β†’ 202,752 262,142
Capabilities Optional capabilities the model advertises: vision (images), tools (function calling), json_mode (structured output). vision, tools, json_mode vision, tools, json_mode
Input $ / 1M tokens Cost for tokens you send (prompt + context). Cheaper side highlighted. Glossary β†’ 1.2000 0.7300
Output $ / 1M tokens Cost for tokens the model generates. Output is normally 3–5Γ— pricier than input. Glossary β†’ 4.0000 3.4900

Frequently asked questions

Which is cheaper, GLM 5V Turbo or MoonshotAI Kimi Latest?

MoonshotAI Kimi Latest is cheaper than GLM 5V Turbo on a 50/50 input/output blend by about $0.49 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 5V Turbo or MoonshotAI Kimi Latest?

MoonshotAI Kimi Latest has the larger context window at 262k tokens versus 203k tokens for GLM 5V Turbo. That means MoonshotAI Kimi Latest can ingest about 1.3x as much text per request.

What is the difference between GLM 5V Turbo and MoonshotAI Kimi Latest?

GLM 5V Turbo comes from Z.ai; MoonshotAI Kimi Latest comes from MoonshotAI. 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.