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GLM 4.6V Original

zai-org/glm-4.6v-original
Provider logo

GLM 4.6V Original

zai-org/glm-4.6v-original

GLM-4.6V scales its context window to 128k tokens in training, and achieves SoTA performance in visual understanding among models of similar parameter scales. Integrates native Function Calling capabilities, bridging 'visual perception' and 'executable action' for multimodal agents. Direct via Z-AI (Zhipu).

Added Dec 8, 2025

Context Window

128.0K

Max Output

24.0K

Input Price (Auto)

$0.60/1M

Output Price (Auto)

$0.90/1M

Cache Read (Auto)

$0.30/1M

Capabilities

Benchmarks

Performance metrics and benchmarks

Sourced from Artificial Analysis.

Intelligence Index

10.9

Better than 34% of models compared

Reasoning

GPQA Diamond

Graduate-level scientific reasoning

56.6%

Better than 32% of models compared

HLE

Humanity's Last Exam

3.7%

Better than 9% of models compared

IFBench

Instruction-following benchmark

27.9%

Better than 11% of models compared

T²-Bench Telecom

Conversational AI agents in dual-control scenarios

30.7%

Better than 38% of models compared

AA-LCR

Long context reasoning evaluation

14.3%

Better than 22% of models compared

Coding

SciCode

Python programming for scientific computing

27.2%

Better than 34% of models compared

Terminal-Bench Hard

Agentic coding and terminal use

3.0%

Better than 23% of models compared

LiveCodeBench

Contamination-free coding benchmark

41.1%

Better than 49% of models compared

Math

AIME 2025

American Invitational Mathematics Examination 2025

26.3%

Better than 28% of models compared

Knowledge

MMLU-Pro

Professional and academic subject knowledge

75.2%

Better than 49% of models compared

Last updated Aug 16, 2026

Artificial Analysis

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