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ModelDeprecated

GLM 5

Z.ai (Zhipu AI)huggingface.co/zai-org/GLM-5

GLM-5 is Z.ai’s flagship open-source foundation model engineered for complex systems design and long-horizon agent workflows. Built for expert developers, it delivers production-grade performance on large-scale programming tasks, rivaling leading...

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data quality68

Updated 6 h ago · first seen 11 Sept 2026

model_01M294WW58QZ2KAA2XSGNFKSQ5

Overview

Identity

Identity block not returned by the API for this entity.

Openness

Openness not classified yet — no sourced evidence to place this model in the ontology.

Key facts

Release date

Source:OpenRouter public model & pricing listingT2observed 13 h agomedium

Status

Source:Artificial AnalysisT2observed 12 h agomedium

Model card
huggingface.co/zai-org/GLM-5

Source:Hugging Face Hub (public pages, model cards, papers)T2observed 13 h agomedium

Openrouter id

Source:OpenRouter public model & pricing listingT2observed 13 h agomedium

Architecture

Architecture

Source:Hugging Face Hub (public pages, model cards, papers)T2observed 12 h agomedium

Model type

Source:Hugging Face Hub (public pages, model cards, papers)T2observed 12 h agomedium

Parameters

Source:Hugging Face Hub (public pages, model cards, papers)T2observed 13 h agomedium

Weights dtype

Source:Hugging Face Hub (public pages, model cards, papers)T2observed 12 h agomedium

File size

Source:Hugging Face Hub (public pages, model cards, papers)T2observed 12 h agomedium

Library name

Source:Hugging Face Hub (public pages, model cards, papers)T2observed 12 h agomedium

Pipeline tag

Source:Hugging Face Hub (public pages, model cards, papers)T2observed 13 h agomedium

Hugging Face repo

Source:OpenRouter public model & pricing listingT2observed 13 h agomedium

Capabilities

Modalities

Modalities
text
Input
text
Output
text

Capabilities

  • Tool calling

    Yes

    OpenRouter public model & pricing listing · T2

  • Structured output

    Yes

    OpenRouter public model & pricing listing · T2

  • Reasoning

    Yes

    OpenRouter public model & pricing listing · T2

  • Vision

    Unavailable

  • Audio

    Unavailable

  • Fine-tuning available

    Unavailable

Context window

Source:OpenRouter public model & pricing listingT2observed 10 h agomedium

Max output

Source:OpenRouter public model & pricing listingT2observed 13 h agomedium

Languages

Source:Hugging Face Hub (public pages, model cards, papers)T2observed 12 h agomedium

Benchmarks8

Compare with another model →

Comparable same task and conditions · Partially comparable same task, conditions differ (effort, temperature, judge) · Not comparable different variant or metric

No benchmark results recorded

Results appear when a tier 1–3 source publishes them; we never copy scores without a source.

Providers & Pricing1

All offers in the price terminal →
Current prices per 1M tokens
ProviderInput / 1MOutput / 1MCached inBatch in / outContextObservedSource
Z.ai APIz-ai/glm-5$0.60$1.92$0.12—198K4 h agoopenrouter.aiT2

USD per 1M tokens as published by each provider (USD). Rows are append-only: every change is kept in the history below.

Price history

Step lines per provider; amber markers are recorded changes. Click a marker or a row for the evidence behind that price.

Output price · USD / 1M tokens 1 provider

Output price history of GLM 5$0$0.50$1$1.5$2$2.5Sept 26Sept 26Sept 26Z.ai API: first observed → $1.92 · 11 Sept 2026
  • Z.ai API
  • Z.ai APIfirst observed $1.9211 Sept 2026

Input price · USD / 1M tokens 1 provider

Input price history of GLM 5$0$0.20$0.40$0.60$0.80Sept 26Sept 26Sept 26Z.ai API: first observed → $0.60 · 11 Sept 2026
  • Z.ai API
  • Z.ai APIfirst observed $0.6011 Sept 2026

Hardware fit37

Estimated

3 of 37 device × quantization combinations fit.

Run locally: your machine →
Estimated hardware fit
HardwareQuantizationDevice memoryEst. memoryFits
Apple M3 Ultra4bit—434.0 GB est.Yes
Mac Studio (Apple M5 Ultra)4bit—434.0 GB est.Yes
NVIDIA DGX B2004bit1,440 GB434.0 GB est.Yes
Apple M2 Ultra4bit—434.0 GB est.No
Apple M1 Ultra4bit—434.0 GB est.No
Apple M3 Max4bit—434.0 GB est.No
Apple M4 Max4bit—434.0 GB est.No
Mac Studio (Apple M5 Max)4bit—434.0 GB est.No
MacBook Pro (Apple M5 Max)4bit—434.0 GB est.No
Apple M2 Max4bit—434.0 GB est.No
Apple M1 Max4bit—434.0 GB est.No
Apple M4 Pro4bit—434.0 GB est.No
Mac mini (Apple M5 Pro)4bit—434.0 GB est.No
MacBook Pro (Apple M5 Pro)4bit—434.0 GB est.No
Apple M3 Pro4bit—434.0 GB est.No
Apple M1 Pro4bit—434.0 GB est.No
Apple M2 Pro4bit—434.0 GB est.No
Apple M44bit—434.0 GB est.No
iMac (Apple M4)4bit—434.0 GB est.No
Mac mini (Apple M6)4bit—434.0 GB est.No
MacBook Air (Apple M5)4bit—434.0 GB est.No
MacBook Pro (Apple M5)4bit—434.0 GB est.No
Apple M24bit—434.0 GB est.No
Apple M34bit—434.0 GB est.No
Apple M14bit—434.0 GB est.No
NVIDIA GeForce RTX 30904bit24 GB434.0 GB est.No
NVIDIA GeForce RTX 40904bit24 GB434.0 GB est.No
NVIDIA GeForce RTX 50904bit32 GB434.0 GB est.No
NVIDIA A100 80GB4bit80 GB434.0 GB est.No
NVIDIA H100 SXM4bit80 GB434.0 GB est.No
NVIDIA H100 NVL4bit94 GB434.0 GB est.No
NVIDIA DGX Spark4bit128 GB434.0 GB est.No
NVIDIA H2004bit141 GB434.0 GB est.No
NVIDIA H200 NVL4bit141 GB434.0 GB est.No
NVIDIA B2004bit180 GB434.0 GB est.No
AMD Instinct MI300X4bit192 GB434.0 GB est.No
AMD Instinct MI325X4bit256 GB434.0 GB est.No
Assumptions (6)
  • Estimated, not measured: weights = parameters × bytes/param × 1.15 runtime overhead.
  • bytes/param: 4bit = 0.5, 8bit = 1.0, fp16 = 2.0 (uniform quantization, no per-layer exceptions).
  • KV cache approximated at 0.5 GB per 8 192 tokens of context, independent of architecture (GQA/MLA models need less).
  • A model 'fits' when the estimate is at most the device memory minus 2 GB reserved for the OS and framework.
  • Mixture-of-experts models are estimated on total parameters (all experts must be resident); active parameters are ignored.
  • Device memory uses the largest configuration when several are listed (e.g. Apple silicon tiers).

Papers1

Timeline12

Full timeline →
  • Context window changedModelGLM 5Z.ai (Zhipu AI)

    GLM 5: context length changed from 200000 to 204800

    Context window200K tokens→204.8K tokensopenrouter
    openrouter.ai
  • Benchmark resultModelGLM 5Z.ai (Zhipu AI)

    GLM 5 scores 72.8% on SWE-bench Verified

    swebench_leaderboard
    swebench.com
  • Benchmark resultModelGLM 5Z.ai (Zhipu AI)

    GLM 5 scores 69.7% on SWE-bench Multilingual

    swebench_leaderboard
    swebench.com
  • Benchmark resultModelGLM 5Z.ai (Zhipu AI)

    GLM 5 scores 43.18% on Terminal-Bench

    artificial_analysis
    artificialanalysis.ai
  • Benchmark resultModelGLM 5Z.ai (Zhipu AI)

    GLM 5 scores 98.25% on τ²-bench

    artificial_analysis
    artificialanalysis.ai
  • Benchmark resultModelGLM 5Z.ai (Zhipu AI)

    GLM 5 scores 72.31% on IFBench

    artificial_analysis
    artificialanalysis.ai
  • Benchmark resultModelGLM 5Z.ai (Zhipu AI)

    GLM 5 scores 29.29% on Humanity's Last Exam

    artificial_analysis
    artificialanalysis.ai
  • Benchmark resultModelGLM 5Z.ai (Zhipu AI)

    GLM 5 scores 82.02% on GPQA

    artificial_analysis
    artificialanalysis.ai
  • Benchmark resultModelGLM 5Z.ai (Zhipu AI)

    GLM 5 scores 27.91 on Artificial Analysis Intelligence Index

    artificial_analysis
    artificialanalysis.ai
  • Context window changedModelGLM 5Z.ai (Zhipu AI)

    GLM 5: context length changed from 204800 to 200000

    Context window204.8K tokens→200K tokensartificial_analysis
    artificialanalysis.ai
  • New modelModelGLM 5Z.ai (Zhipu AI)

    New model: GLM 5 (Z.ai (Zhipu AI))

    openrouter
    openrouter.ai
  • Listed by providerModelGLM 5Z.ai (Zhipu AI)

    Z.ai API lists GLM 5 at $0.6 in / $1.92 out per 1M tokens

    openrouter
    openrouter.ai

Change history35

Temporal, append-only claims: a new observation closes the previous claim instead of overwriting it. Rewind the record with the as-of picker.

Viewing AI Atlas as of 12 Aug 2026 — attributes exactly as the atlas knew them on that day; later corrections are not shown.

Back to today →

GLM 5 was not yet in AI Atlas on 12 Aug 2026

First seen 11 Sept 2026. Nothing is inferred backwards: no attribute is shown for dates before the first observation.
35 claims · 33 properties

Release daterelease_date1

Claim history for Release date
ValueValid from → toStatusSourceConfidenceExtractor
11 Feb 2026 → currentcurrentOpenRouter public model & pricing listingT2mediumdeterministic

Statusstatus1

Claim history for Status
ValueValid from → toStatusSourceConfidenceExtractor
deprecated → currentcurrentArtificial AnalysisT2mediumdeterministic

Opennessopenness1

Claim history for Openness
ValueValid from → toStatusSourceConfidenceExtractor
open-weights → currentcurrentHugging Face Hub (public pages, model cards, papers)T2mediumdeterministic

Licenselicense1

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ValueValid from → toStatusSourceConfidenceExtractor
mit → currentcurrentHugging Face Hub (public pages, model cards, papers)T2mediumdeterministic

Architecturearchitecture1

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ValueValid from → toStatusSourceConfidenceExtractor
GlmMoeDsaForCausalLM → currentcurrentHugging Face Hub (public pages, model cards, papers)T2mediumdeterministic

Parametersparameter_count1

Claim history for Parameters
ValueValid from → toStatusSourceConfidenceExtractor
753.9B → currentcurrentHugging Face Hub (public pages, model cards, papers)T2mediumdeterministic

Context windowcontext_length3

Claim history for Context window
ValueValid from → toStatusSourceConfidenceExtractor
204.8K tokens → currentcurrentOpenRouter public model & pricing listingT2mediumdeterministic
200K tokens → supersededArtificial AnalysisT2mediumdeterministic
204.8K tokens → supersededOpenRouter public model & pricing listingT2mediumdeterministic

Max outputmax_output_tokens1

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ValueValid from → toStatusSourceConfidenceExtractor
128K tokens → currentcurrentOpenRouter public model & pricing listingT2mediumdeterministic

Modalitiesmodalities1

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ValueValid from → toStatusSourceConfidenceExtractor
text → currentcurrentOpenRouter public model & pricing listingT2mediumdeterministic

Input modalitiesmodalities_input1

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ValueValid from → toStatusSourceConfidenceExtractor
text → currentcurrentOpenRouter public model & pricing listingT2mediumdeterministic

Output modalitiesmodalities_output1

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ValueValid from → toStatusSourceConfidenceExtractor
text → currentcurrentOpenRouter public model & pricing listingT2mediumdeterministic

Languageslanguages1

Claim history for Languages
ValueValid from → toStatusSourceConfidenceExtractor
en, zh → currentcurrentHugging Face Hub (public pages, model cards, papers)T2mediumdeterministic

File sizefile_size_gb1

Claim history for File size
ValueValid from → toStatusSourceConfidenceExtractor
1507.7 GB → currentcurrentHugging Face Hub (public pages, model cards, papers)T2mediumdeterministic

Hugging Face repohf_repo1

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ValueValid from → toStatusSourceConfidenceExtractor
zai-org/GLM-5 → currentcurrentOpenRouter public model & pricing listingT2mediumdeterministic

Pipeline tagpipeline_tag1

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ValueValid from → toStatusSourceConfidenceExtractor
text-generation → currentcurrentHugging Face Hub (public pages, model cards, papers)T2mediumdeterministic

Model cardmodel_card_url1

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ValueValid from → toStatusSourceConfidenceExtractor
https://huggingface.co/zai-org/GLM-5 → currentcurrentHugging Face Hub (public pages, model cards, papers)T2mediumdeterministic

Downloadsmetric.downloads1

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ValueValid from → toStatusSourceConfidenceExtractor
60,650 → currentcurrentHugging Face Hub (public pages, model cards, papers)T2mediumdeterministic

Likesmetric.likes1

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ValueValid from → toStatusSourceConfidenceExtractor
2,119 → currentcurrentHugging Face Hub (public pages, model cards, papers)T2mediumdeterministic

Descriptiondescription1

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ValueValid from → toStatusSourceConfidenceExtractor
GLM-5 is Z.ai’s flagship open-source foundation model engineered for complex systems design and long-horizon agent workflows. Built for expert developers, it delivers production-grade performance on large-scale programming tasks, rivaling leading... → currentcurrentOpenRouter public model & pricing listingT2mediumdeterministic

Gatedgated1

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ValueValid from → toStatusSourceConfidenceExtractor
No → currentcurrentHugging Face Hub (public pages, model cards, papers)T2mediumdeterministic

Hf inference providershf_inference_providers1

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ValueValid from → toStatusSourceConfidenceExtractor
deepinfra, featherless-ai, novita, zai-org → currentcurrentHugging Face Hub (public pages, model cards, papers)T2mediumdeterministic

Last modifiedlast_modified1

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ValueValid from → toStatusSourceConfidenceExtractor
2026-08-11T07:36:34+00:00 → currentcurrentHugging Face Hub (public pages, model cards, papers)T2mediumdeterministic

Library namelibrary_name1

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ValueValid from → toStatusSourceConfidenceExtractor
transformers → currentcurrentHugging Face Hub (public pages, model cards, papers)T2mediumdeterministic

Aa median output tokens per secondmetric.aa_median_output_tokens_per_second1

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ValueValid from → toStatusSourceConfidenceExtractor
65.4 → currentcurrentArtificial AnalysisT2mediumdeterministic

Downloads all timemetric.downloads_all_time1

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ValueValid from → toStatusSourceConfidenceExtractor
1,341,187 → currentcurrentHugging Face Hub (public pages, model cards, papers)T2mediumdeterministic

Model typemodel_type1

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ValueValid from → toStatusSourceConfidenceExtractor
glm_moe_dsa → currentcurrentHugging Face Hub (public pages, model cards, papers)T2mediumdeterministic

Openrouter idopenrouter_id1

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ValueValid from → toStatusSourceConfidenceExtractor
z-ai/glm-5 → currentcurrentOpenRouter public model & pricing listingT2mediumdeterministic

Reasoningreasoning1

Claim history for Reasoning
ValueValid from → toStatusSourceConfidenceExtractor
Yes → currentcurrentOpenRouter public model & pricing listingT2mediumdeterministic

Structured outputstructured_output1

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ValueValid from → toStatusSourceConfidenceExtractor
Yes → currentcurrentOpenRouter public model & pricing listingT2mediumdeterministic

Supported parameterssupported_parameters1

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ValueValid from → toStatusSourceConfidenceExtractor
frequency_penalty, include_reasoning, logprobs, max_tokens, presence_penalty, reasoning, repetition_penalty, response_format, seed, stop, structured_outputs, temperature, tool_choice, tools, top_k, top_logprobs, top_p → currentcurrentOpenRouter public model & pricing listingT2mediumdeterministic

Tagstags1

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ValueValid from → toStatusSourceConfidenceExtractor
transformers, safetensors, glm_moe_dsa, text-generation, en, zh → currentcurrentHugging Face Hub (public pages, model cards, papers)T2mediumdeterministic

Tool callingtool_calling1

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ValueValid from → toStatusSourceConfidenceExtractor
Yes → currentcurrentOpenRouter public model & pricing listingT2mediumdeterministic

Weights dtypeweights_dtype1

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ValueValid from → toStatusSourceConfidenceExtractor
BF16, F32 → currentcurrentHugging Face Hub (public pages, model cards, papers)T2mediumdeterministic

Claims are temporal and append-only: a new observation closes the previous claim (valid_to) instead of overwriting it. Conflicting claims from different sources are kept side by side and flagged — never averaged. Methodology →

Provenance

Attributed facts

34

Source tiers

T234

Freshest observation

6 h ago

Conflicts

None

Source documents 6

Source documents
SourceDocumentTypeTierLast observedSnapshots
OpenRouter public model & pricing listingopenrouter.ai/api/v1/models catalogueT2· Quality secondary4 h ago7
Hugging Face Hub (public pages, model cards, papers)huggingface.co/zai-org/GLM-5/raw/main/README.md model_cardT2· Quality secondary6 h ago1
Hugging Face Hub (public pages, model cards, papers)huggingface.co/zai-org/GLM-5 model_pageT2· Quality secondary7 h ago5
Hugging Face Hub (public pages, model cards, papers)huggingface.co/models?author=zai-org&p=0&sort=downloads listingT2· Quality secondary8 h ago6
SWE-bench leaderboardsswebench.com/ leaderboardT2· Quality secondary12 h ago1
Artificial Analysisartificialanalysis.ai/leaderboards/models leaderboardT2· Quality secondary12 h ago1

Tier 1 = official/primary, 2 = quality secondary, 3 = community, 4 = unverified. Every snapshot is archived; see all sources and the methodology.

Data quality (68/100) measures how well AI Atlas knows this entity — completeness, primary-source ratio, freshness, conflicts — never how good the model is. Methodology →