Z.ai: GLM-4.6V-FlashWork with me

Z.ai: GLM-4.6V-Flash

byZ.ai

GLM-4.6V-Flash is a reasoning model from Z.ai released on Dec 8, 2025. It reads text, images and video and writes text, with a 128K token context window and up to 33K tokens per reply.

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It costs $0.0218 per million input tokens and $0.2184 per million output tokens. Cached input bills at $0.0044, 80% less than fresh input.

It supports tool calling, structured JSON output and prompt caching, and its weights are open, so you can host it yourself.

6 providers serve it, including Hugging Face, ZenMux and EmpirioLabs AI.

Modalities
In / out price
$0.0218 / $0.2184 per 1M
Context
128K
Max output
33K
Released
Dec 8, 2025
Knowledge cutoff
n/a
  • Tool calling
  • Structured output
  • Reasoning
  • Prompt caching
  • Open weights
  • Free to use

GLM-4.6V-Flash pricing

USD, as listed on Oct 15, 2026. Most bills are input heavy, so the cached input rate matters as much as the headline price.

Input$0.0218 / 1M tokens
Output$0.2184 / 1M tokens
Cached input (read)$0.0044 / 1M tokens
Prompts over 32K$0.0437 in, $0.4367 out

GLM-4.6V-Flash providers

6 providers serve it, including Hugging Face, ZenMux and EmpirioLabs AI. Each host sets its own price and limits, so the cheapest one is not always the one with the longest context.

ProviderInput /MOutput /MCache read /MContextMax output
Zhipu AI First party$0$0$0128K33K
Hugging Face$0.30$0.90–131K33K
ZenMux$0.0218$0.2184$0.0044200K128K
EmpirioLabs AIn/an/a–128K33K
Tempr Gatewayn/an/a–128K33K
Z.AIn/an/a–128K33K

What GLM-4.6V-Flash costs per month

Pick a workload close to yours or type your own volumes.

GLM-4.6V-Flash per month
$3.15
Without caching
$3.93
Per request
$0.0001

Supported request parameters

What you can set when you call GLM-4.6V-Flash through an OpenAI compatible API.

  • Toolstools
  • Structured outputsstructured_outputs
  • Reasoningreasoning
  • Temperaturetemperature

Alternatives to GLM-4.6V-Flash

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GLM-4.6V-Flash questions

How much does the GLM-4.6V-Flash API cost?

$0.0218 per million input tokens and $0.2184 per million output tokens, with cached input at $0.0044. Prompts over 32K tokens bill at $0.0437 input and $0.4367 output. The estimator on this page turns that into a monthly bill for your own workload.

What is the context window of GLM-4.6V-Flash?

128,000 tokens of input, and it can write up to 32,768 tokens in one reply. As a rough guide, a million tokens is around 750,000 English words.

Which providers serve GLM-4.6V-Flash?

6 providers serve it, including Hugging Face, ZenMux and EmpirioLabs AI. Prices differ by host, so the Providers table on this page lists each one with its input and output price.

Does GLM-4.6V-Flash support tool calling?

Yes. It accepts tool definitions and can return JSON that matches a schema, which is what an agent needs to call your APIs.

Is GLM-4.6V-Flash open source?

Its weights are published, so you can run it on your own hardware or a cloud of your choice. Read the license before commercial use.

When was GLM-4.6V-Flash released?

Dec 8, 2025.

Catalog data from models.dev (MIT licensed), refreshed daily, last on Oct 15, 2026. The summary is written from these facts.

Building on GLM-4.6V-Flash?

I test your real tasks on it and the two closest alternatives, then ship the agent on whichever wins on cost and accuracy.

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