GLM 4.5V
GLM-4.5V is a vision-language foundation model for multimodal agent applications. Built on a Mixture-of-Experts (MoE) architecture with 106B parameters and 12B activated parameters, it achieves state-of-the-art results in video understanding,...
Updated 3 h ago · first seen 11 Sept 2026
model_01M294WWCWZ2AM6WGK35KDWWN9
Overview
Identity
Identity block not returned by the API for this entity.
Openness
Openness not classified yet — no sourced evidence to place this model in the ontology.
Key facts
- Release date
Source:OpenRouter public model & pricing listingT2observed 10 h agomedium
- Status
Source:Artificial AnalysisT2observed 8 h agomedium
- Knowledge cutoff
Source:OpenRouter public model & pricing listingT2observed 10 h agomedium
- Openrouter id
Source:OpenRouter public model & pricing listingT2observed 10 h agomedium
Architecture
- Hugging Face repo
Source:OpenRouter public model & pricing listingT2observed 10 h agomedium
Capabilities
Modalities
- Modalities
- imagetext
- Input
- imagetext
- Output
- text
Capabilities
Tool calling
Yes
OpenRouter public model & pricing listing · T2
Structured output
Yes
OpenRouter public model & pricing listing · T2
Reasoning
Yes
OpenRouter public model & pricing listing · T2
Vision
Yes
OpenRouter public model & pricing listing · T2
Audio
Unavailable
Fine-tuning available
Unavailable
- Context window
Source:OpenRouter public model & pricing listingT2observed 7 h agomedium
- Max output
Source:OpenRouter public model & pricing listingT2observed 10 h agomedium
- Knowledge cutoff
Source:OpenRouter public model & pricing listingT2observed 10 h agomedium
Benchmarks7
Compare with another model →Comparable same task and conditions · Partially comparable same task, conditions differ (effort, temperature, judge) · Not comparable different variant or metric
No benchmark results recorded
Providers & Pricing1
All offers in the price terminal →USD per 1M tokens as published by each provider (USD). Rows are append-only: every change is kept in the history below.
Price history
Output price · USD / 1M tokens 1 provider
- Z.ai API
- Z.ai APIfirst observed $1.811 Sept 2026
Input price · USD / 1M tokens 1 provider
- Z.ai API
- Z.ai APIfirst observed $0.6011 Sept 2026
Timeline11
Full timeline →GLM 4.5V: context length changed from 64000 to 65536
Context window64K tokens→65.5K tokensopenrouterGLM 4.5V scores 5.3% on Terminal-Bench
artificial_analysisGLM 4.5V scores 6.3% on Humanity's Last Exam
artificial_analysisGLM 4.5V scores 7.56 on Artificial Analysis Intelligence Index
artificial_analysisGLM 4.5V: context length changed from 65536 to 64000
Context window65.5K tokens→64K tokensartificial_analysisZ.ai API lists GLM 4.5V at $0.6 in / $1.8 out per 1M tokens
openrouter
Change history
Modalitiesmodalities1
Claims are temporal and append-only: a new observation closes the previous claim (valid_to) instead of overwriting it. Conflicting claims from different sources are kept side by side and flagged — never averaged. Methodology →
Provenance
Attributed facts
19
Source tiers
T219
Freshest observation
3 h ago
Conflicts
None
Source documents 2
Tier 1 = official/primary, 2 = quality secondary, 3 = community, 4 = unverified. Every snapshot is archived; see all sources and the methodology.
Data quality (56/100) measures how well AI Atlas knows this entity — completeness, primary-source ratio, freshness, conflicts — never how good the model is. Methodology →