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GLM-4.5V

Up to 30%

Call GLM-4.5V through LLM.API when you want GLM / Zhipu-family text generation with unified auth, provider choice, and production-friendly defaults.

Start Using API

What is GLM-4.5V?

On LLM.API, GLM-4.5V (glm-4.5v) serves as a GLM / Zhipu conversational model for products that need 128K tokens context windows and predictable token pricing. glm-4.5v provided by zai, novita. It is wired for API access through LLM.API with OpenAI-compatible patterns.

Providers

LLM.API routes GLM-4.5V to the providers below, with discounted effective rates versus list price.

List price by provider ($ / 1M tokens)

InputOutput
novita$0.6 in
$1.8 out
zai$0.6 in
$1.8 out

Provider list prices; the LLM.API discount applies on top.

ProviderPricingContextCapabilities
novita30% offin $600; out $1800 per 1M tokens128K tokensvision, tools, streaming, reasoning, JSON
zai30% offin $600; out $1800 per 1M tokens128K tokensvision, tools, streaming, reasoning, JSON, structured

Prices and availability from the LLMAPI catalogue, updated nightly. Last updated 21 Sept 2026.

Try this model

Test GLM-4.5V right here — free to start.

GLM-4.5V
Hi! Want to test the model?

Suggestions for your first prompt

Code snippet

Call GLM-4.5V through the OpenAI-compatible API — POST /v1/chat/completions.

python
from openai import OpenAI

client = OpenAI(
    api_key="YOUR_LLMAP_KEY",
    base_url="https://api.llmapi.ai/v1",
)

resp = client.chat.completions.create(
    model="glm-4.5v",
    messages=[
        {"role": "system", "content": "You are a precise product assistant."},
        {"role": "user", "content": "Give me three crisp launch checklist items."},
    ],
)
print(resp.choices[0].message.content)
{
  "model": "glm-4.5v",
  "messages": [
    {"role": "system", "content": "You are a precise product assistant."},
    {"role": "user", "content": "Give me three crisp launch checklist items."}
  ]
}

5 Core Capabilities

  • Instruction following

    Follows detailed system and user instructions with strong adherence to format and tone. Grounded in the model's chat role rather than generic chat claims.

  • Conversational UX

    Maintains coherent multi-turn assistant behavior for product chat surfaces.

  • Long-context synthesis

    Summarizes and cross-references information across large prompts when context allows. Reflects GLM / Zhipu positioning for this endpoint.

  • Analytical writing

    Produces clear analyses, comparisons, and decision memos from messy source material. Relevant for `glm-4.5v` workloads on LLM.API.

  • Structured outputs

    Can produce JSON-friendly or schema-oriented responses when prompted carefully. Relevant for `glm-4.5v` workloads on LLM.API.

6 Most Valuable Use Cases

  • Product analytics narration and anomaly explanations with GLM-4.5V
  • Coding agents for refactors, tests, and PR explanations
  • Policy Q&A bots with careful refusal behavior with GLM-4.5V
  • Meeting-note cleanup and action-item generation
  • Internal knowledge assistants grounded with your retrieval layer with GLM-4.5V
  • Multilingual localization drafts for UX copy

Why Build on LLM.API?

One unified API. Every major model. Built-in reliability, cost control, and observability.

  • Intelligent AI Routing

    Automatically route each request to the best model across providers based on latency, cost, and quality—without changing your integration or redeploying code.

    One endpoint, every model.

  • Cost-Aware Execution

    Control spend with per-request cost estimation, smart model selection, and centralized quotas so teams can experiment fast without runaway bills or manual tracking.

    More performance, less spend.

  • Resilient Fallback Flows

    Define automatic, provider-agnostic fallbacks to keep your app up during outages, rate limits, or timeouts—no brittle failover logic scattered through your codebase.

    Never go dark on users.

  • Deep LLM Observability

    Trace every call across providers with logs, metrics, and request replay so you can debug, tune prompts, and optimize model choices from one unified dashboard.

    See every token, everywhere.

  • Task-Level Orchestration

    Describe tasks, not models. LLM.API maps them to the right tools, models, and prompts so you ship complex AI workflows with minimal glue code.

    Think tasks, not models.

  • High-Throughput Batch APIs

    Process millions of inferences efficiently with optimized batch pipelines, concurrency controls, and retry logic—all behind the same simple interface you use for single calls.

    Scale from 1 to millions.

Why run GLM-4.5V on LLM.API?

  • Unified AI Routing

    Reach GLM-4.5V and sibling models through one OpenAI-compatible endpoint.

  • Cost Control

    Practical: Compare provider price points and keep spend visible as you scale GLM-4.5V.

  • Reliability Layer

    Production: Retry and route across configured providers when a single upstream blips.

  • Observability

    Trace prompts, tokens, and errors for GLM-4.5V alongside the rest of your stack.

  • Drop-in SDKs

    Production: Keep using familiar OpenAI client patterns with base URL https://api.llmapi.ai/v1.

  • Model Breadth

    Swap GLM-4.5V for chat, media, or embedding alternatives without rewriting auth.

When to Use — When NOT to Use

Use it if...

  • Your prompts benefit from the model's family strengths (reasoning, speed, or cost) (GLM-4.5V)
  • You want OpenAI-compatible chat completions through a single LLM.API key (GLM-4.5V)
  • You need provider failover options exposed for this model id (GLM-4.5V)
  • You need a general-purpose text model for assistants, agents, or content workflows (GLM-4.5V)

Avoid if...

  • You need guaranteed real-time hard latency SLAs without benchmarking the provider
  • You require on-prem only deployment with no cloud inference
  • You need pure embedding, OCR, or media generation instead of chat
  • Your use case depends on unpublished proprietary benchmarks not listed here

COMMUNITY

What developers say about GLM models

Summarised from publicly published developer and community reviews of this model family. Opinions are the sources’, not LLM.API’s, and may not be specific to GLM-4.5V.

  • LocalLLM communities describe GLM as a cost-effective everyday coding model, popular for saving quota on more expensive assistants.
  • Blind multi-judge code reviews on Reddit scored GLM well for production-readiness against much pricier competitors.
  • Reported weak spots: large monorepos, complex debugging, and context stability under long sessions — results vary by provider and harness.

SOURCES

Frequently Asked Questions

  • Does GLM-4.5V support streaming?

    Yes—at least one listed provider advertises streaming.

  • Where is the canonical page for GLM-4.5V?

    https://llmapi.ai/models/zhipu-glm-4-5v/

  • What are limitations of GLM-4.5V?

    Like other API models, GLM-4.5V can be wrong, incomplete, or uneven on edge cases. Validate outputs for high-stakes use. Media/OCR/STT models additionally depend on input quality.

  • When should I choose GLM-4.5V?

    Your prompts benefit from the model's family strengths (reasoning, speed, or cost) — especially when you specifically need GLM-4.5V.

  • What is the context length for GLM-4.5V?

    Reported context for GLM-4.5V is 128K tokens. Always verify the active provider row if multiple providers are listed.

  • What is GLM-4.5V?

    glm-4.5v provided by zai, novita. It is wired for API access through LLM.API with OpenAI-compatible patterns. On LLM.API it is addressed as `glm-4.5v`.

  • How is GLM-4.5V priced on LLM.API?

    Listed pricing metadata shows: In $0.6 / 1M tokens · Out $1.8 / 1M tokens. LLM.API may offer discounted effective rates (illustrative ~30% callout vs list when available).. Confirm live rates in the LLM.API dashboard or docs before production budgeting.

  • Is GLM-4.5V a chat model?

    Yes—GLM-4.5V is exposed as a chat/completions-style endpoint on LLM.API.

  • What modalities does GLM-4.5V support?

    GLM-4.5V accepts text, image and produces text according to its architecture metadata on LLM.API.

  • How do I call GLM-4.5V via API?

    Send OpenAI-compatible requests to https://api.llmapi.ai/v1 with model "glm-4.5v" and your LLM.API key. See the code snippet on this page.

  • Which providers serve GLM-4.5V?

    LLM.API currently lists: novita, zai. Availability can vary by region and account.

  • Can I use tools or structured outputs with GLM-4.5V?

    Tool and/or structured-output flags appear on one or more providers for this model—confirm in the providers table.

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