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 1 h ago · first seen 11 Sept 2026
model_01M294WWCWZ2AM6WGK35KDWWN9
- Context
- 64K tokens
- T2 · 1 h ago
- Released
- 11 Aug 2025
- T2 · 3 h ago
- Knowledge cutoff
- Dec 2024
- T2 · 3 h ago
Specification
- Release date
- 11 Aug 2025
Source:OpenRouter public model & pricing listingT2observed 3 h agomedium
- Status
- deprecated
Source:Artificial AnalysisT2observed 1 h agomedium
- Openness
- open-weights
Source:Artificial AnalysisT2observed 1 h agomedium
- Context window
- 64K tokens
Source:Artificial AnalysisT2observed 1 h agomedium
- Max output
- 16.4K tokens
Source:OpenRouter public model & pricing listingT2observed 3 h agomedium
- Knowledge cutoff
- Dec 2024
Source:OpenRouter public model & pricing listingT2observed 3 h agomedium
- Modalities
- image, text
Source:OpenRouter public model & pricing listingT2observed 3 h agomedium
- Input modalities
- image, text
Source:OpenRouter public model & pricing listingT2observed 3 h agomedium
- Output modalities
- text
Source:OpenRouter public model & pricing listingT2observed 3 h agomedium
- Hugging Face repo
- zai-org/GLM-4.5V
Source:OpenRouter public model & pricing listingT2observed 3 h agomedium
- Aa median output tokens per second
- 34.8
Source:Artificial AnalysisT2observed 1 h agomedium
- Openrouter id
- z-ai/glm-4.5v
Source:OpenRouter public model & pricing listingT2observed 3 h agomedium
- Supported parameters
- frequency_penalty, include_reasoning, max_tokens, presence_penalty, reasoning, repetition_penalty, response_format, seed, stop, temperature, tool_choice, tools, top_k, top_p
Source:OpenRouter public model & pricing listingT2observed 3 h agomedium
Each value shows its source, tier and observation time. Conflicting claims are kept side by side and flagged — never averaged. How AI Atlas records facts →
Provenance
Attributed facts
18
Source tiers
T218
Freshest observation
1 h ago
Conflicts
None
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
- 64K tokens
Source:Artificial AnalysisT2observed 1 h agomedium
- Max output
- 16.4K tokens
Source:OpenRouter public model & pricing listingT2observed 3 h agomedium
- Knowledge cutoff
- Dec 2024
Source:OpenRouter public model & pricing listingT2observed 3 h agomedium
| Benchmark | Score | Metric | Config | Evaluated | Source |
|---|---|---|---|---|---|
| τ²-bench | 22.51% | pass^1 | aa_slug=glm-4-5v-reasoning · evaluator=Artificial Analysis · index_version=4.3 | — | artificialanalysis.aiT2 |
| Artificial Analysis Intelligence Index | 7.56 | index | aa_slug=glm-4-5v-reasoning · version=4.3 · estimated=true | — | artificialanalysis.aiT2 |
| GPQA | 68.38% | accuracy | aa_slug=glm-4-5v-reasoning · variant=GPQA Diamond · evaluator=Artificial Analysis · index_version=4.3 | — | artificialanalysis.aiT2 |
| Humanity's Last Exam | 6.3% | accuracy | aa_slug=glm-4-5v-reasoning · evaluator=Artificial Analysis · index_version=4.3 | — | artificialanalysis.aiT2 |
| IFBench | 34.22% | accuracy | aa_slug=glm-4-5v-reasoning · evaluator=Artificial Analysis · index_version=4.3 | — | artificialanalysis.aiT2 |
| MMMU-Pro | 50.46% | accuracy | aa_slug=glm-4-5v-reasoning · evaluator=Artificial Analysis · index_version=4.3 | — | artificialanalysis.aiT2 |
| Terminal-Bench | 5.3% | accuracy | aa_slug=glm-4-5v-reasoning · variant=hard · evaluator=Artificial Analysis · index_version=4.3 | — | artificialanalysis.aiT2 |
Scores are reported as published, with their evaluation configuration (harness, prompting, judge). Results with different configs are not directly comparable — see methodology.
Current prices
| Provider | Input / 1M | Output / 1M | Cached in | Batch in / out | Context | Observed | Source |
|---|---|---|---|---|---|---|---|
| Z.ai APIz-ai/glm-4.5v | $0.60 | $1.8 | $0.11 | — | 65.5K | 1 h ago | openrouter.aiT2 |
USD per 1M tokens as published by each provider (USD). Rows are append-only: every change is kept in the history below.
Available through 1
Price history
Input price · USD / 1M tokens
Output price · USD / 1M tokens
- Z.ai API
No hardware estimate available
No lineage recorded
Papers 0
No papers linked yet.
Repositories 0
No repositories linked yet.
As of
Rewind the record: see this entity's attributes exactly as AI Atlas knew them on a given day.
Claim history · Max output
Max outputmax_output_tokens1
| Value | Valid from → to | Status | Source | Confidence | Extractor |
|---|---|---|---|---|---|
| 16.4K tokens | → current | current | OpenRouter public model & pricing listingT2 | medium | deterministic |
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 →
GLM 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
| Source | Document | Type | Tier | Last observed | Snapshots |
|---|---|---|---|---|---|
| Artificial Analysis | artificialanalysis.ai/leaderboards/models | leaderboard | T2· Quality secondary | 1 h ago | 1 |
| OpenRouter public model & pricing listing | openrouter.ai/api/v1/models | catalogue | T2· Quality secondary | 1 h ago | 2 |
Tier 1 = official/primary, 2 = quality secondary, 3 = community, 4 = unverified. Every snapshot is archived; see all sources and the methodology.