Models / Z.ai/ GLM 5.3 FlashX

GLM 5.3 FlashX

Z.ai · released Sep 18, 2026

Input: text, images and video. Output: text.InputOutput
Type
Closed
Input
$0.37
Output
$1.25
Cached
$0.090

List price · per 1M tokens · Z.AI at 1M context · source ↗

Our take

Written Sep 30, 2026

GLM 5.3 FlashX is a hosted-only model: we list no download for it, so using it means choosing a host. Nothing here measures its quality, so treat it as a candidate to trial on work you can check yourself rather than a proven pick.

Who should pick it

Reach for it when a long document, or a question with a screenshot or a clip attached, can go to a host in one request and the bill matters more than measured quality. Two hosts serve it, so you can move the workload if one changes its terms. Skip it if you need evidence of coding, reasoning or chat quality before committing, or if you meant to run the model on your own machine.

The case for it

  • Long documents go in whole rather than being split up first, though reliable recall across all of it is unverified in our data.
  • Images and video go into the same request as the text, so a clip does not have to be described in words first.

The case against it

  • No benchmark scores are supplied, so chat, coding and reasoning ability all need a trial on work you can judge yourself.
  • We list no download for it, so a host is the only route we can point you to.
00

How good is it?

We hold no score for this model.

So there is no figure here for everyday use, coding, agent work or writing. That is a gap in our data, not a low score.

Where these scores come from →

01

Where to rent it

Prices checked between 55 min and 58 min ago — each listing carries its own date.

Cheapest published offer

Why this differs from the header. The strip above quotes Z.AI's own list price; this is the cheapest live offer, whoever is serving it — a reseller undercutting a lab is ordinary commerce, not an error.

per 1M tokens
$0.37 in / $1.25 out
Context served
1M
Throughput
Not measured
Current provider offers with price, context and prompt-privacy answers
ProviderIn / out per 1M tokensContextThroughputTrains on promptsLogs promptsZero retention
OpenRouterOpenRouter's own listing$0.37 / $1.25checked 58 min ago1Mnot measuredUnknownUnknownUnknown
Z.AIfp8Through OpenRouter$0.37 / $1.25checked 55 min ago1M131K max reply50 tok/sNoNoConfirmed

Across the 2 listings we hold: 1 says it does not train on prompts, 0 say they do and 1 does not say. 1 appears in the zero-retention registry we check; the rest are unknown to us.

What each host's API supports

From the parameter list each endpoint publishes. Streaming is omitted: nothing we hold reports it, for any model.

API features per host
ProviderTool callingJSON outputStrict schema
OpenRouterOpenRouter's own listing✓✓✗
Z.AIfp8Through OpenRouter✓✓✗

Tool calling: 2 of 2 listings say yes. JSON output: 2 of 2 listings say yes. Strict schema: 0 of 2 listings say yes, 2 say no.

02

When we formed this view

Recent changes

Sep 25, 2026ListedListed on LLMap
What movedfirst indexed by our pipeline
Sep 18, 2026ReleaseGLM 5.3 FlashX listed
Sep 18, 2026AnnouncedGLM 5.3 FlashX announced by Z.ai

Each date is the day we first saw the change, or the day the maker announced it.

What we do not know about this model yet

  • No independent board has scored it, so we hold no quality figures at all.
  • Nothing we hold says whether an endpoint streams, so we do not show it either way.
  • 1 of 2 listings does not say whether it trains on prompts.
  • We hold no batch or off-peak rate for any of its listings.
03

Licence and identifiers

What the licence allowsWe hold no licence record for this model. Inside are the identifiers you need to pull it — its Hugging Face repo where we have one, our slug and a machine-readable card.

Licence

We hold no licence record for this model, and no record of published weights either — so we can neither summarise its terms nor point you at the weights.

Identifiers

Takes in, gives back
Text, images and video in, text out
Catalogue slug
z-ai-glm-5-3-flashx

Machine-readable model card (omc.json) →

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