Models / Z.ai/ GLM 5 Turbo

GLM 5 Turbo

Z.ai · released Mar 15, 2026

Input: text. Output: text.InputOutput
Type
Closed
Input
$1.20
Output
$4.00
Cached
$0.24

List price · per 1M tokens · Z.AI at 203K context · source ↗

Our take

Written Sep 4, 2026

GLM 5 Turbo is a proprietary text-only model from Z.ai with a substantial 202,752-token request limit, released in March 2026. It is positioned for long-document work at a mid-market price point, though no benchmark scores verify its performance.

Who should pick it

Pick this when you need a long context window from a proprietary model and are comfortable with Z.ai's own endpoint. Use it for long-document analysis where first-party hosting is acceptable. Skip it if you need measured quality data, multimodal input, or verified speed from your chosen provider.

The case for it

  • 202,752-token request limit, among the larger windows we hold for this model class.
  • First-party throughput disclosed by Z.ai at 27.5 tokens per second.

The case against it

  • No measured quality data to justify its price: zero benchmark scores in our data.
  • Throughput unverified on two of three hosts; only Z.ai discloses a speed figure.
  • Proprietary weights with no licence granted, so self-hosting or redistribution is impossible.
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 4 hours ago — each listing carries its own date.

Cheapest published offer

Novita AI, direct

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
$1.20 in / $4.00 out
Context served
203K
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$1.20 / $4.00checked 4 hours ago203Knot measuredUnknownUnknownUnknown
Novita AIDirect$1.20 / $4.00checked 4 hours ago203Knot measuredUnknownUnknownUnknown
Z.AIThrough OpenRouter$1.20 / $4.00checked 4 hours ago203K131K max reply15 tok/sNoNoConfirmed

Across the 3 listings we hold: 1 says it does not train on prompts, 0 say they do and 2 do 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✓✓✗
Novita AIDirect
Z.AIThrough OpenRouter✓✓✗

Tool calling: 2 of 3 listings say yes, 1 publishes no parameter list. JSON output: 2 of 3 listings say yes, 1 publishes no parameter list. Strict schema: 0 of 3 listings say yes, 2 say no, 1 publishes no parameter list.

02

Models people weigh against GLM 5 Turbo

03

When we formed this view

Recent changes

Jul 26, 2026ListedListed on LLMap
What movedfirst indexed by our pipeline
Mar 15, 2026AnnouncedGLM 5 Turbo 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.
  • 1 of 3 listings publishes no parameter list, so what its API accepts is unknown to us.
  • Nothing we hold says whether an endpoint streams, so we do not show it either way.
  • 2 of 3 listings do not say whether they train on prompts.
  • We hold no batch or off-peak rate for any of its listings.
04

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 in, text out
Catalogue slug
z-ai-glm-5-turbo

Machine-readable model card (omc.json) →

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