GLM-4.5V
GLM-4.5V is a multimodal chat model from Z AI, the vision-capable entry in the company's GLM-4.5 model family.
API Pricing
| Provider | Input / 1M | Output / 1M | Cached / 1M |
|---|---|---|---|
| $0.600 | $1.80 | $0.110 | |
| $0.600 | $1.80 | $0.110 |
Prices updated daily. Last check: Oct 6, 2026
GLM-4.5V pricing by provider
Input, output, and batch rates, plus alternatives, for one provider at a time.
Performance & Benchmarks
Source: Artificial Analysis →Reasoning & Knowledge
- MMLU-Pro75.1%
- GPQA Diamond57.3%
- Humanity's Last Exam3.5%
Coding
- LiveCodeBench35.2%
Math
- AIME 202515.3%
Agentic & Tool Use
- Terminal-Bench Hard6.8%
- τ²-bench19.6%
Instruction & Long Context
- IFBench28.6%
- Long-Context Reasoning0.0%
Benchmarks measured Oct 2026. Scores are independent evaluations, not vendor-reported.
Model Details
General
- Creator
- Z AI
- Modalities
- Text
Capabilities
- Tool Calling
- No
Strengths & Limitations
Strengths
- Multimodal chat interface — accepts visual input alongside text prompts in a single request
- Part of the GLM-4.5 family from Z AI, so it shares prompting conventions with the family's text models
- Served through standard chat-completions style APIs, reducing integration work for teams already calling OpenAI-compatible endpoints
- Frequently available from more than one inference host, letting buyers compare providers rather than rely on a single endpoint
- Handles document, chart, and screenshot interpretation workloads without a separate OCR or vision service
- Positioned as the vision variant within its generation, giving a clear selection rule versus the text-only GLM-4.5 entries
Limitations
- We do not have a confirmed context window figure for GLM-4.5V in our database
- Throughput and time-to-first-token measurements in our benchmark record are unpopulated, so speed cannot be compared numerically against peers here
- Independent benchmark scores for this model are not tracked in our catalog, making capability comparisons qualitative
- Image-handling limits — resolution caps, images per request, file formats — vary by hosting provider and must be checked per endpoint
- Less third-party tooling and community documentation than the most widely deployed Western multimodal models
Key Features
About GLM-4.5V
Common Use Cases
GLM-4.5V suits workloads that pair images with instructions: extracting structured information from invoices, forms, and scanned documents; describing or categorizing photographs; reading charts and dashboards and summarizing what they show; and answering questions about UI screenshots during QA or support triage. Because it exposes a conventional chat interface, it also works as a general assistant for text-only turns, which lets a single endpoint serve mixed traffic where only some requests carry an image. Teams evaluating it should prototype against their own image types first, since multimodal accuracy varies sharply by document quality and domain, and should confirm per-provider image size and request limits before scaling. For high-volume text-only classification or long-document processing, a text-focused model in the GLM-4.5 family may be the more economical pick.
Frequently Asked Questions
What is GLM-4.5V best used for?
It is best suited to tasks that combine images with text instructions — document and form extraction, chart and screenshot interpretation, image description and categorization, and visual question answering — while still handling ordinary text chat turns through the same endpoint.
How much does GLM-4.5V cost to run?
Pricing varies by provider and by pricing type, with separate rates typically applied to input and output tokens and additional handling for image input. Check the pricing table on this page for current per-provider rates rather than relying on any fixed figure.
How does GLM-4.5V differ from the other GLM-4.5 models?
The "V" suffix marks it as the vision-capable variant of the GLM-4.5 generation from Z AI. If your workload never includes images, a text-focused model in the same family is usually the simpler choice; if some requests carry screenshots, documents, or photos, GLM-4.5V lets you serve both from one endpoint.
What context window does GLM-4.5V support?
We do not have a confirmed context window figure for GLM-4.5V in our database. Hosted deployments can also impose their own request size limits, so verify the effective maximum with the specific provider you plan to use.
How fast is GLM-4.5V?
Our benchmark record for GLM-4.5V has no populated output-tokens-per-second or time-to-first-token values, so we cannot quote measured speed. Throughput also depends heavily on the serving provider, so run a short latency test against the endpoints listed in the pricing table before choosing one.