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Z.ai: GLM 4.6V

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Zhipu's flagship GLM-4. Strong on Chinese-language benchmarks, with frontier-class reasoning at competitive Chinese pricing.

Z.ai: GLM 4.6V is a multimodal AI model from z-ai. It costs $0.300 per million input tokens and $0.900 per million output tokens (blended $0.480/M), with a 131,072-token context window.

Profile inherited from upstream GLM-4 Plus ↗ — this is a hosted variant of the same open-weights model.

INPUT
$0.300/M
per million input tokens
OUTPUT
$0.900/M
per million output tokens
BLENDED 70/30
$0.480/M
unchanged since 3 May
CONTEXT
131,072
tokens
What it is good at
  • Strong on Chinese benchmarks
  • Tool use
  • 128K context
  • Tightly integrated with Zhipu cloud
Typical use cases
  • Chinese-first production chat
  • Multilingual agents

Benchmarks

vs. best public score
Scores inherited from GLM-4 Plus — this is a hosted variant of the same open-weights model, so the underlying benchmark scores are identical.
MMLU84%
Multitask academic knowledge across 57 subjects.
Graduate-level science questions, "Google-proof".
MATH70%
High-school competition math problems.
Python function synthesis from docstrings.
LMArena Elo1244 Elo
Crowd-sourced head-to-head preference Elo rating.
Hand-curated from each provider's published reports and public leaderboards. Methodology varies across sources, treat as directional rather than authoritative.

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Frequently asked questions

How much does Z.ai: GLM 4.6V cost?

Z.ai: GLM 4.6V costs $0.300 per million input tokens and $0.900 per million output tokens, for a blended reference rate of $0.480 per million tokens.

What is Z.ai: GLM 4.6V's context window?

Z.ai: GLM 4.6V supports up to 131,072 tokens of context in a single request.

What is Z.ai: GLM 4.6V best for?

Z.ai: GLM 4.6V is well suited to Strong on Chinese benchmarks, Tool use and 128K context.

Who makes Z.ai: GLM 4.6V?

Z.ai: GLM 4.6V is developed and served by z-ai.

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