Claude Fable 5$22.000/MClaude Opus 4.8$11.000/MClaude Opus 4.7$11.000/MClaude Opus 4.6$11.000/MClaude Opus 4.5$33.000/MClaude Sonnet 3.7$6.600/MClaude Opus 3$33.000/MClaude 2.1$12.800/MClaude 2$12.800/MGPT-5.5$12.500/MGPT-5.2$5.425/MGPT-5.2-Codex$5.425/MGPT-5$3.875/MGPT-4.5$97.500/MGPT-4 Turbo Preview$16.000/MGPT-4$39.000/MGPT-4-32k$78.000/Mo3$19.000/Mo3-mini$2.090/Mo4-mini$2.090/Mo1$28.500/Mo1-mini$5.700/Mo1-preview$28.500/MGemini 3.5 Pro$5.000/MGemini 3.1 Pro$5.000/MGemini 3 Pro$5.000/MGemini 2.5 Pro$3.875/MGemini 1.5 Pro$2.375/MGemini 1.0 Ultra$12.000/MGemini 1.0 Pro$0.800/MClaude Fable 5$22.000/MClaude Opus 4.8$11.000/MClaude Opus 4.7$11.000/MClaude Opus 4.6$11.000/MClaude Opus 4.5$33.000/MClaude Sonnet 3.7$6.600/MClaude Opus 3$33.000/MClaude 2.1$12.800/MClaude 2$12.800/MGPT-5.5$12.500/MGPT-5.2$5.425/MGPT-5.2-Codex$5.425/MGPT-5$3.875/MGPT-4.5$97.500/MGPT-4 Turbo Preview$16.000/MGPT-4$39.000/MGPT-4-32k$78.000/Mo3$19.000/Mo3-mini$2.090/Mo4-mini$2.090/Mo1$28.500/Mo1-mini$5.700/Mo1-preview$28.500/MGemini 3.5 Pro$5.000/MGemini 3.1 Pro$5.000/MGemini 3 Pro$5.000/MGemini 2.5 Pro$3.875/MGemini 1.5 Pro$2.375/MGemini 1.0 Ultra$12.000/MGemini 1.0 Pro$0.800/M
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MultimodalLIVE INDEX

Z.ai: GLM 4.6V

text+image+video->text

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 131K-token context window.

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

Modalities textOfficial model page ↗Pricing source ↗Compare with another model →Estimate monthly cost →
INPUT
$0.300/M
per million input tokens
OUTPUT
$0.900/M
per million output tokens
BLENDED 70/30
$0.480/M
default reference rate · how it's calculated →
CONTEXT
131K
131,072 tokens
What it's 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.
GPQA Diamond51%
Graduate-level science questions, "Google-proof".
MATH70%
High-school competition math problems.
HumanEval80%
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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Z.ai: GLM 5V Turbo
text+image+video->text · 203K ctx
in $1.200/Mout $4.000/M
Z.ai: GLM 5 Turbo
text->text · 262K ctx
in $1.200/Mout $4.000/M
Z.ai: GLM 5
text->text · 203K ctx
in $0.600/Mout $1.920/M
Z.ai: GLM 4.7 Flash
text->text · 203K ctx
in $0.060/Mout $0.400/M
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 131K tokens of context (131,072 tokens).

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.