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Z.ai · Official-source model record

GLM-4.6V-FlashX

GLM · Version GLM-4.6V-FlashX

AvailableChecked Oct 23, 2026
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Publisher-sourced inventory. Specifications come from official documentation and model cards. “Not documented” means we have no verified value. This inventory is separate from our editorial reviews.

Coverage & sources ↗

Current catalog answers

What to know about GLM-4.6V-FlashX

AI-compiled from linked model documentation. This is a catalog reference, not an independent performance review. Catalog checked October 23, 2026.

How much does GLM-4.6V-FlashX cost?

The recorded token rates for GLM-4.6V-FlashX are:

  • Input: US$0.04 per 1 million input tokens. Source
  • Output: US$0.4 per 1 million output tokens. Source

Rate conditions: Direct Z.ai API list prices in USD per million input/output tokens. Cache storage and built-in tools are separate line items. Source

Illustrative arithmetic: 10,000 input tokens plus 2,000 output tokens would cost US$0.0012 at those recorded rates. This assumes every token is billed at the displayed rate and excludes any cache, batch, tool, storage or tier adjustments; it is not a quote or measured usage.

Check the source's pricing conditions before budgeting. A token rate does not state the price of an app subscription or the full cost of running downloaded weights.

Which GLM-4.6V-FlashX does this page describe?

GLM-4.6V-FlashX is a model record from Z.ai in the GLM family. Source

The recorded model identifier or checkpoint is GLM-4.6V-FlashX. Use that exact identifier when checking documentation or a provider listing. Source

How can you access GLM-4.6V-FlashX?

The catalog documents API access for GLM-4.6V-FlashX. Source

As of the catalog check, this version was listed as available. Source

For API use, confirm the exact model identifier, your account and region, and the endpoint's current limits in the linked documentation. An API listing does not establish access through a consumer subscription.

What can GLM-4.6V-FlashX receive and generate?

Documented inputs: text and image. Source

Documented outputs: text. Source

Input support and output generation are separate capabilities. Reading an image does not establish image generation; a text output listing does not establish speech output. File sizes, formats and media limits depend on the documented implementation.

What distinguishes GLM-4.6V-FlashX?

These details come from the linked publisher material for this model. Reported capabilities and training descriptions are publisher statements, not independent test results.

Exact API pricing row
The exact GLM-4.6V-FlashX row quotes 0.04 USD per million input tokens and 0.4 USD per million output tokens. Cache storage and built-in tools have separate line items. Source

Keep the exact version in view

Other GLM models from Z.ai.

These are separate records in the same publisher family. A shared family name does not establish equal capabilities or interchangeable licenses.

glm-4-9b

Open weights

The documented record

Specifications, with their sources.

A missing value remains unknown. Input limits, output limits and the total context window are separate measurements.

Publisher
Z.aiSource ↗
Family
GLMSource ↗
Version
GLM-4.6V-FlashXSource ↗
Availability
AvailableSource ↗
Access
APISource ↗
Inputs
Text · ImageSource ↗
Outputs
TextSource ↗
Context window
Not documented
Maximum input
Not documented
Maximum output
Not documented
Knowledge cutoff
Not documented
Training-data cutoff
Not documented
Training completed
Not documented
Release date
Not documented
License
Not documented
Input price / 1M tokens
$0.04Source ↗
Output price / 1M tokens
$0.4Source ↗

Read this with the numbers.

Public hosted model listing; product-specific endpoint limits can differ from separately downloadable weights.

Direct Z.ai API list prices in USD per million input/output tokens. Cache storage and built-in tools are separate line items.

Model identifiers and aliases 1
  • GLM-4.6V-FlashX

Follow the evidence

Official sources.

  1. pricing — official Z.ai documentation ↗docs.z.ai

From the Headless Thrones newsroom

Editorial about GLM-4.6V-FlashX

No published articles are linked to this exact model yet. New coverage will appear here as it is published.

Your starting point

GLM-4.6V-FlashX

Z.ai · API

Browse all models ↗
Inputs
Text · ImageSource ↗
Outputs
TextSource ↗
Context window
Not documented
Knowledge cutoff
Not documented

A place to begin comparing

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A record you can follow

The source belongs beside the fact.

Official sources

Model records cite the developer’s documentation, release notes and model cards. A listing alone is not a tested service or a recommendation.

Dates mean different things

Knowledge cutoff, training-data cutoff, training completion and release date are separate fields. A model’s name or repository upload date does not establish any of them.

Limits need context

Some publishers use rounded K/M token figures. Deployment, reasoning settings and regional access can change usable limits. Read the source before choosing.

Coverage and last check

Independent editorial model library assembled from primary vendor documentation and official publisher model cards. This is a dated, auditable inventory of the sources reviewed, not a claim to every model worldwide. First-party language-model inventory for OpenAI, Anthropic, Google Gemini/Gemma, xAI, Meta and Reflection. Includes vendor-listed legacy/retired identities with explicit statuses; official pretrained and instruction-tuned checkpoints remain distinct. Excludes embeddings, moderation/guard models, image/audio/video-only generation, community fine-tunes, speculative draft helpers, format/runtime/quantization duplicates, and PaliGemma dataset-specific benchmark fine-tunes. Availability means documented vendor API or downloadable official weights, not guaranteed account eligibility. Unknown specifications and dates remain null. Rounded K/M limits preserve vendor granularity; exact integers are used only where documented. No OpenRouter facts are used. Primary-source inventory of language-capable models from Alibaba/Qwen, DeepSeek, Moonshot, MiniMax, Z.ai, ByteDance Seed, Tencent, Baidu, Xiaomi, StepFun, 01.AI, Shanghai AI Laboratory, Baichuan and OpenBMB. Includes full reachable official public weight inventories plus documented hosted API models and explicit retirements. Embeddings, reward/classifier/router/tokenizer/draft-head components, standalone OCR/document converters and image/video/audio-only generators are excluded; multimodal language models retained. Official packaging variants are folded into aliases where a canonical listing was identifiable; remaining research/base/SFT variants retain exact identities. Not a guarantee every historical/private/regional model is available. Unknown specifications remain null; K/M API display quantities use decimal normalization where explicitly noted, rather than implying verified exact serving ceilings. Model-name dates and repository creation timestamps are never used as release/training dates. Open weights does not mean unrestricted or OSI-open-source licensing. Some model-card bodies were unreachable; their public inventory metadata is retained and disclosed. Official Mistral, Cohere, AI21, NVIDIA Nemotron, Microsoft Phi/MAI, Amazon Nova, IBM Granite, AllenAI OLMo/Molmo, TII Falcon, Nous Research, Arcee and Essential AI model inventory checked 2026-10-23. Includes base, instruction, reasoning, coding and text-producing multimodal models, including legacy API versions. Excludes embeddings/rerankers/reward and safety classifiers, image/audio/video-only generation, robotics-only models, duplicate quantization/runtime packages, adapters, intermediate checkpoint experiments, and third-party mirrors. Arcee coverage focuses on its named product families rather than exploratory merge repositories. Repository listing means listed, not independently verified API availability. K/M figures are nominal decimal normalizations when the source supplies shorthand; deployment-specific exact token limits may differ. Unverified values remain null. This is a source-backed inventory, not a complete claim-level independent editorial review. Supplemental official Liquid AI, Reka and Inception generative language catalog. Excludes media-only generators and decision/classification-only models. No assumed training dates.

Catalog edition updated . Source links are provided on each model record.

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