Z.ai · Official-source model record
GLM-5.3-Flash
GLM · Version GLM-5.3-Flash
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-5.3-Flash
AI-compiled from linked model documentation. This is a catalog reference, not an independent performance review. Catalog checked October 23, 2026.
Which GLM-5.3-Flash does this page describe?
GLM-5.3-Flash is a model record from Z.ai in the GLM family. Source
The recorded model identifier or checkpoint is GLM-5.3-Flash. Use that exact identifier when checking documentation or a provider listing. Source
How can you access GLM-5.3-Flash?
The catalog documents API and Open weights access for GLM-5.3-Flash. Source 1 · Source 2 · Source 3
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.
Open weights means the model weights are distributed for use under their stated terms. It does not establish a hosted API, an open-source license, or a hardware requirement. This record documents API access separately.
What are GLM-5.3-Flash's context and output limits?
The documented context window is 1,000,000 tokens. Source
A separate maximum-output value is not established in this record. The context or input figure should not be used as an output allowance.
Context, input and output limits describe different constraints. Do not add the figures together to infer a larger window. Check the endpoint's accounting for conversation history, system instructions, tools, media and generated tokens; a documented maximum is not a guarantee of answer quality or a measured usable capacity.
What can GLM-5.3-Flash receive and generate?
Documented inputs: text, image, video, and file. 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 license is recorded for GLM-5.3-Flash?
The recorded license label is mit. Source
Read the linked license and associated use terms for this exact version before redistribution, commercial deployment or fine-tuning. A label alone does not establish every permission, restriction or obligation, and it does not determine the terms of a separate hosted service.
What is documented about the GLM-5.3-Flash checkpoint?
This evidence refers to zai-org/GLM-5.3-Flash at recorded revision 46a050bec13002ad29ee795c16e61cf4fa3c4a9c, checked October 23, 2026. Repository metadata
Safetensors metadata records 321,323,031,390 stored parameters. This is a stored-weight count, not necessarily the number activated per token, a download size or a GPU-memory requirement. Repository metadata
Recorded architecture class: Glm5NextForConditionalGeneration. Repository metadata
Repository task tag: image-text-to-text. A task tag identifies a distribution category; it does not measure performance on that task. Repository metadata
Listed library: transformers. Check that library's version and model support before loading the weights. Repository metadata
Repository language labels: en and zh. These labels are not independent evaluations of language quality. Repository metadata
Repository access gate: false. This records the repository's gate setting when checked; licensing and use terms still apply. Repository metadata
What the configuration file says
The pinned config.json section text_config contains these values. Pinned configuration
max_position_embeddings- 1,048,576
torch_dtype- bfloat16
num_attention_heads- 64
num_key_value_heads- 64
num_hidden_layers- 45
hidden_size- 4,096
Configuration values describe the checkpoint and its implementation. In particular, max_position_embeddings, sliding_window and rope_scaling do not independently establish an API context limit, tested usable length or hardware requirement. Runtime, quantization, cache, batch size and input length affect deployment behavior.
Read the retrieved model card for setup and qualifications. Model card
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-4-32B-0414
Open weights
GLM-4-32B-0414-128K
API
GLM-4-32B-Base-0414
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glm-4-9b-chat
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-5.3-FlashSource ↗
- Availability
- AvailableSource ↗
- Access
- API · Open weightsSource 1 ↗Source 2 ↗Source 3 ↗
- Inputs
- Text · Image · Video · FileSource ↗
- Outputs
- TextSource ↗
- Context window
- 1,000,000 tokensSource ↗
- 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
- mitSource ↗
- Input price / 1M tokens
- Not documented
- Output price / 1M tokens
- Not documented
Read this with the numbers.
Official publisher weight listing; availability refers to this distribution, not a guaranteed hosted API. Base, SFT and research variants are identified by their exact published names. Official quantization/runtime variants are retained as aliases. Public hosted model listing; product-specific endpoint limits can differ from separately downloadable weights.Official maximum-output label is 128K; exact integer token ceiling unverified and left null. Publisher repository evidence (2026-10-23): Publisher task label: image-text-to-text. Published architecture metadata: Glm5NextForConditionalGeneration. Repository library label: transformers. Model-card language labels: en, zh; these labels are not evaluated proficiency scores. Published safetensors metadata counts 321,323,031,390 stored parameters; this is not an active-parameter count for mixture-of-experts models. Published text_config configuration: max_position_embeddings=1048576; dtype=bfloat16; 45 hidden layers. Checkpoint configuration is not a verified hosted serving limit; context and output limits remain separate documented fields.
Model identifiers and aliases 3
GLM-5.3-Flashzai-org/GLM-5.3-Flashzai-org/GLM-5.3-Flash-BF16
Follow the evidence
Official sources.
- pricing — official Z.ai documentation ↗docs.z.ai
- glm 5.3 flash — official Z.ai documentation ↗docs.z.ai
- GLM-5.3-Flash official model card ↗huggingface.co
- GLM-5.3-Flash: official publisher repository metadata ↗huggingface.co
- GLM-5.3-Flash: publisher model card at revision 46a050bec130 ↗huggingface.co
- GLM-5.3-Flash: published checkpoint configuration at revision 46a050bec130 ↗huggingface.co