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Is there an AI for this?

Model

GLM-5

Recorded as suitable for chat, rag, coding, reasoning, zh.

Source
Model registry API
Verified
19 Sep 2026
Confidence
High

01What this is

Author
zai-org
Family
GLM-5
Task
text-generation
Hugging Face
zai-org/GLM-5
OpenRouter
z-ai/glm-5
Also known as
GLM-5, glm5

02Registry facts

19 Sep 2026
LicenceFACT

mit

FreshRetrieved 19 Sep 2026
ParametersFACT

753.9B

FreshRetrieved 19 Sep 2026
Context lengthFACT

not returned by the registry

Evidence not verified
Downloads (30 days)FACT

52,085

FreshRetrieved 19 Sep 2026
LikesFACT

2,120

FreshRetrieved 19 Sep 2026
GatedFACT

no

FreshRetrieved 19 Sep 2026

Model

downloadsFACT

52085

Verification may be outdatedRetrieved 19 Sep 2026
gatedFACT

false

Verification may be outdatedRetrieved 19 Sep 2026
hosted context length · BaiduFACT

202752

Verification may be outdatedRetrieved 19 Sep 2026
hosted context length · GMICloudFACT

202752

Verification may be outdatedRetrieved 19 Sep 2026
hosted context length · StreamLakeFACT

198000

Verification may be outdatedRetrieved 19 Sep 2026
likesFACT

2120

Verification may be outdatedRetrieved 19 Sep 2026
model licenseFACT

mit

Verification may be outdatedRetrieved 19 Sep 2026
parameter countFACT

753864139008

Verification may be outdatedRetrieved 19 Sep 2026

Pricing

hosted price completion per m · BaiduFACT

2.2400

AgeingRetrieved 19 Sep 2026
hosted price completion per m · GMICloudFACT

1.9200

AgeingRetrieved 19 Sep 2026
hosted price completion per m · StreamLakeFACT

1.9200

AgeingRetrieved 19 Sep 2026
hosted price prompt per m · BaiduFACT

0.7000

AgeingRetrieved 19 Sep 2026
hosted price prompt per m · GMICloudFACT

0.6000

AgeingRetrieved 19 Sep 2026
hosted price prompt per m · StreamLakeFACT

0.6000

AgeingRetrieved 19 Sep 2026

Other

available on platform · vendorFACT

vendor

AgeingRetrieved 19 Sep 2026
available on platform · awsFACT

aws

Evidence not verified — the quoted phrase was not found in the fetched document.

Evidence not verified
last modifiedFACT

2026-08-11T07:36:34.000Z

Verification may be outdatedRetrieved 19 Sep 2026
libraryFACT

transformers

AgeingRetrieved 19 Sep 2026

03VRAM by quantisation

ASSESSMENT

Peak VRAM for serving this model, computed by lib/deployment/hardware.ts from weights + KV cache + 15% runtime overhead. Inputs: 753.9B parameters, 8,192 tokens of context (assumed — none fetched yet), 4 concurrent requests (assumed).

Decimal GB (10⁹ bytes), matching how GPU memory is advertised.
QuantisationWeightsTotal
bf16bf16 is two bytes per weight, the same arithmetic as fp16.1507.73 GB1751.17 GB
fp8753.86 GB884.23 GB
int4376.93 GB450.76 GB

What this estimate assumes

  • Weights: 753.9B parameters × 2 bytes per parameter (fp16) = 1507.73 GB.
  • No model configuration was supplied, so the KV cache uses the size heuristic for this band: 0.459 MB per token, from extrapolated above 90B — no configuration was fetched for this band.
  • KV cache: 0.459 MB per token × 8,192 tokens of context × 4 concurrent requests = 15.03 GB, sized for every user holding a full context at once.
  • Overhead: 15% of weights plus KV cache for the runtime, activations and memory fragmentation = 228.41 GB.
  • GB means 10⁹ bytes, matching how GPU memory is advertised.
  • KV cache held at fp16 (2 bytes per element); quantising weights does not by itself quantise the cache.
  • Peak figure, not average: prefix caching and paged attention usually keep real usage lower, while speculative decoding, CUDA graphs and a second resident model push it higher.
  • "Concurrent" counts requests generated at the same instant, not people: 4 simultaneous requests is the worst case this estimate is built on — measure yours before buying.

04Hardware profiles

No hardware profile was sized for this answer.


05Hosted providers

Prompt (per million tokens, USD)FACT

0.6

Source: openrouter

FreshRetrieved 19 Sep 2026
Completion (per million tokens, USD)FACT

1.92

FreshRetrieved 19 Sep 2026
ProviderContext
StreamLake198,000
GMICloud202,752
Baidu202,752
SiliconFlow204,800
Amazon Bedrock202,752
Venice198,000

06Deployment stacks

0 using it

No published deployment stack names this model yet.


07Evidence

17 verified
  1. 01
    Tier 2official vendor legal documentationVendor legal and technical documentation

    GLM-5 - Overview - Z.AI DEVELOPER DOCUMENT

    https://docs.z.ai/guides/llm/glm-5

    AgeingRetrieved 19 Sep 2026sha256:b40a7ef51f43

    1 record

  2. 02–10
    Tier 4official repository / model cardOpenRouter

    OpenRouter endpoints — z-ai/glm-5

    https://openrouter.ai/api/v1/models/z-ai/glm-5/endpoints

    Verification may be outdatedRetrieved 19 Sep 2026sha256:72892c02e2bf

    9 records · · · · · · · ·

  3. 11–17
    Tier 4official repository / model cardHugging Face Hub

    Hugging Face model card data — zai-org/GLM-5

    https://huggingface.co/api/models/zai-org/GLM-5

    Verification may be outdatedRetrieved 19 Sep 2026sha256:ab9edd92b37b

    7 records · · · · · ·

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