L LLM Cloud Hub
Side-by-side comparison

DeepSeek V3.1 vs GLM 4.5 Air

DeepSeek

DeepSeek V3.1

πŸ”§ Tools {} JSON
Input / 1M
$0.2100
Output / 1M
$0.7900
View DeepSeek V3.1 β†’
Z.ai

GLM 4.5 Air

πŸ”§ Tools
Input / 1M
$0.1300
Output / 1M
$0.8500
View GLM 4.5 Air β†’
DeepSeek V3.1GLM 4.5 Air
Provider DeepSeek Z.ai
Context window Maximum tokens (input + output) the model can process in a single request. Glossary β†’ 163,840 131,072
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†’ 0.2100 0.1300
Output $ / 1M tokens Cost for tokens the model generates. Output is normally 3–5Γ— pricier than input. Glossary β†’ 0.7900 0.8500

Frequently asked questions

Which is cheaper, DeepSeek V3.1 or GLM 4.5 Air?

GLM 4.5 Air is cheaper than DeepSeek V3.1 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, DeepSeek V3.1 or GLM 4.5 Air?

DeepSeek V3.1 has the larger context window at 164k tokens versus 131k tokens for GLM 4.5 Air. That means DeepSeek V3.1 can ingest about 1.3x as much text per request.

What is the difference between DeepSeek V3.1 and GLM 4.5 Air?

DeepSeek V3.1 comes from DeepSeek; 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.

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.