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ModelDeprecated

GLM 4.7

Z.ai (Zhipu AI)huggingface.co/zai-org/GLM-4.7

GLM-4.7 is Z.ai’s latest flagship model, featuring upgrades in two key areas: enhanced programming capabilities and more stable multi-step reasoning/execution. It demonstrates significant improvements in executing complex agent tasks while...

Open in Graph
data quality68

Updated 7 h ago · first seen 11 Sept 2026

model_01M294WW6VKR77267WTPF7FGEF

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 14 h agomedium

Status

Source:Artificial AnalysisT2observed 12 h agomedium

Model card
huggingface.co/zai-org/GLM-4.7

Source:Hugging Face Hub (public pages, model cards, papers)T2observed 14 h agomedium

Openrouter id

Source:OpenRouter public model & pricing listingT2observed 14 h agomedium

Architecture

Architecture

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

Model type

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

Parameters

Source:Hugging Face Hub (public pages, model cards, papers)T2observed 14 h agomedium

Weights dtype

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

File size

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

Library name

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

Pipeline tag

Source:Hugging Face Hub (public pages, model cards, papers)T2observed 14 h agomedium

Hugging Face repo

Source:OpenRouter public model & pricing listingT2observed 14 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 11 h agomedium

Max output

Source:OpenRouter public model & pricing listingT2observed 14 h agomedium

Languages

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

Benchmarks7

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-4.7$0.40$1.75$0.08—202.8K6 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 4.7$0$0.50$1$1.5$2$2.5Sept 26Sept 26Sept 26Sept 26Sept 26Sept 26Sept 26Sept 26Z.ai API: first observed → $1.75 · 11 Sept 2026
  • Z.ai API
  • Z.ai APIfirst observed $1.7511 Sept 2026

Input price · USD / 1M tokens 1 provider

Input price history of GLM 4.7$0$0.10$0.20$0.30$0.40$0.50Sept 26Sept 26Sept 26Sept 26Sept 26Sept 26Sept 26Sept 26Z.ai API: first observed → $0.40 · 11 Sept 2026
  • Z.ai API
  • Z.ai APIfirst observed $0.4011 Sept 2026

Hardware fit37

Estimated

4 of 37 device × quantization combinations fit.

Run locally: your machine →
Estimated hardware fit
HardwareQuantizationDevice memoryEst. memoryFits
Apple M3 Ultra4bit—206.5 GB est.Yes
Mac Studio (Apple M5 Ultra)4bit—206.5 GB est.Yes
AMD Instinct MI325X4bit256 GB206.5 GB est.Yes
NVIDIA DGX B2004bit1,440 GB206.5 GB est.Yes
Apple M2 Ultra4bit—206.5 GB est.No
Apple M1 Ultra4bit—206.5 GB est.No
Apple M3 Max4bit—206.5 GB est.No
Apple M4 Max4bit—206.5 GB est.No
Mac Studio (Apple M5 Max)4bit—206.5 GB est.No
MacBook Pro (Apple M5 Max)4bit—206.5 GB est.No
Apple M2 Max4bit—206.5 GB est.No
Apple M1 Max4bit—206.5 GB est.No
Apple M4 Pro4bit—206.5 GB est.No
Mac mini (Apple M5 Pro)4bit—206.5 GB est.No
MacBook Pro (Apple M5 Pro)4bit—206.5 GB est.No
Apple M3 Pro4bit—206.5 GB est.No
Apple M1 Pro4bit—206.5 GB est.No
Apple M2 Pro4bit—206.5 GB est.No
Apple M44bit—206.5 GB est.No
iMac (Apple M4)4bit—206.5 GB est.No
Mac mini (Apple M6)4bit—206.5 GB est.No
MacBook Air (Apple M5)4bit—206.5 GB est.No
MacBook Pro (Apple M5)4bit—206.5 GB est.No
Apple M24bit—206.5 GB est.No
Apple M34bit—206.5 GB est.No
Apple M14bit—206.5 GB est.No
NVIDIA GeForce RTX 30904bit24 GB206.5 GB est.No
NVIDIA GeForce RTX 40904bit24 GB206.5 GB est.No
NVIDIA GeForce RTX 50904bit32 GB206.5 GB est.No
NVIDIA A100 80GB4bit80 GB206.5 GB est.No
NVIDIA H100 SXM4bit80 GB206.5 GB est.No
NVIDIA H100 NVL4bit94 GB206.5 GB est.No
NVIDIA DGX Spark4bit128 GB206.5 GB est.No
NVIDIA H2004bit141 GB206.5 GB est.No
NVIDIA H200 NVL4bit141 GB206.5 GB est.No
NVIDIA B2004bit180 GB206.5 GB est.No
AMD Instinct MI300X4bit192 GB206.5 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).

Lineage

Open in Graph →
Explicit derived_from / fine_tuned_from / distilled_from relations stated by sources; artifacts collapsed by kind.
DESCENDANTS 2cerebras/GLM-4.7-REAP-218B-A3…218.4Bcerebras/GLM-4.7-REAP-218B-A32B — 218.4Bcerebras/GLM-4.7-REAP-268B-A3…268.8Bcerebras/GLM-4.7-REAP-268B-A32B — 268.8BGLM 4.7358.3B params · this modelGLM 4.7 — 358.3B params · this model

Papers1

Timeline11

Full timeline →
  • Context window changedModelGLM 4.7Z.ai (Zhipu AI)

    GLM 4.7: context length changed from 200000 to 204800

    Context window200K tokens→204.8K tokensopenrouter
    openrouter.ai
  • Benchmark resultModelGLM 4.7Z.ai (Zhipu AI)

    GLM 4.7 scores 31.82% on Terminal-Bench

    artificial_analysis
    artificialanalysis.ai
  • Benchmark resultModelGLM 4.7Z.ai (Zhipu AI)

    GLM 4.7 scores 45.32% on Terminal-Bench

    artificial_analysis
    artificialanalysis.ai
  • Benchmark resultModelGLM 4.7Z.ai (Zhipu AI)

    GLM 4.7 scores 95.91% on τ²-bench

    artificial_analysis
    artificialanalysis.ai
  • Benchmark resultModelGLM 4.7Z.ai (Zhipu AI)

    GLM 4.7 scores 67.89% on IFBench

    artificial_analysis
    artificialanalysis.ai
  • Benchmark resultModelGLM 4.7Z.ai (Zhipu AI)

    GLM 4.7 scores 27.39% on Humanity's Last Exam

    artificial_analysis
    artificialanalysis.ai
  • Benchmark resultModelGLM 4.7Z.ai (Zhipu AI)

    GLM 4.7 scores 85.86% on GPQA

    artificial_analysis
    artificialanalysis.ai
  • Benchmark resultModelGLM 4.7Z.ai (Zhipu AI)

    GLM 4.7 scores 22.24 on Artificial Analysis Intelligence Index

    artificial_analysis
    artificialanalysis.ai
  • Context window changedModelGLM 4.7Z.ai (Zhipu AI)

    GLM 4.7: context length changed from 204800 to 200000

    Context window204.8K tokens→200K tokensartificial_analysis
    artificialanalysis.ai
  • New modelModelGLM 4.7Z.ai (Zhipu AI)

    New model: GLM 4.7 (Z.ai (Zhipu AI))

    openrouter
    openrouter.ai
  • Listed by providerModelGLM 4.7Z.ai (Zhipu AI)

    Z.ai API lists GLM 4.7 at $0.4 in / $1.75 out per 1M tokens

    openrouter
    openrouter.ai

Change history31

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 1 Jul 2026 — attributes exactly as the atlas knew them on that day; later corrections are not shown.

Back to today →

GLM 4.7 was not yet in AI Atlas on 1 Jul 2026

First seen 11 Sept 2026. Nothing is inferred backwards: no attribute is shown for dates before the first observation.
31 claims · 31 properties

Release daterelease_date1

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ValueValid from → toStatusSourceConfidenceExtractor
22 Dec 2025 → currentcurrentOpenRouter public model & pricing listingT2mediumdeterministic

Opennessopenness1

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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
Glm4MoeForCausalLM → currentcurrentHugging Face Hub (public pages, model cards, papers)T2mediumdeterministic

Parametersparameter_count1

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ValueValid from → toStatusSourceConfidenceExtractor
358.3B → currentcurrentHugging Face Hub (public pages, model cards, papers)T2mediumdeterministic

Context windowcontext_length1

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ValueValid from → toStatusSourceConfidenceExtractor
204.8K tokens → currentcurrentOpenRouter public model & pricing listingT2mediumdeterministic

Max outputmax_output_tokens1

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ValueValid from → toStatusSourceConfidenceExtractor
131.1K 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

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

File sizefile_size_gb1

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

Hugging Face repohf_repo1

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ValueValid from → toStatusSourceConfidenceExtractor
zai-org/GLM-4.7 → 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-4.7 → currentcurrentHugging Face Hub (public pages, model cards, papers)T2mediumdeterministic

Downloadsmetric.downloads1

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ValueValid from → toStatusSourceConfidenceExtractor
75,904 → currentcurrentHugging Face Hub (public pages, model cards, papers)T2mediumdeterministic

Likesmetric.likes1

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ValueValid from → toStatusSourceConfidenceExtractor
2,054 → currentcurrentHugging Face Hub (public pages, model cards, papers)T2mediumdeterministic

Descriptiondescription1

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ValueValid from → toStatusSourceConfidenceExtractor
GLM-4.7 is Z.ai’s latest flagship model, featuring upgrades in two key areas: enhanced programming capabilities and more stable multi-step reasoning/execution. It demonstrates significant improvements in executing complex agent tasks while... → 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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baseten, 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
2026-01-29T08:05:58+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

Downloads all timemetric.downloads_all_time1

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777,581 → currentcurrentHugging Face Hub (public pages, model cards, papers)T2mediumdeterministic

Model typemodel_type1

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glm4_moe → currentcurrentHugging Face Hub (public pages, model cards, papers)T2mediumdeterministic

Openrouter idopenrouter_id1

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ValueValid from → toStatusSourceConfidenceExtractor
z-ai/glm-4.7 → currentcurrentOpenRouter public model & pricing listingT2mediumdeterministic

Reasoningreasoning1

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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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frequency_penalty, include_reasoning, logit_bias, max_tokens, min_p, presence_penalty, reasoning, repetition_penalty, response_format, seed, stop, structured_outputs, temperature, tool_choice, tools, top_a, top_k, top_p → currentcurrentOpenRouter public model & pricing listingT2mediumdeterministic

Tagstags1

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ValueValid from → toStatusSourceConfidenceExtractor
transformers, safetensors, glm4_moe, 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

7 h ago

Conflicts

None

Source documents 7

Source documents
SourceDocumentTypeTierLast observedSnapshots
OpenRouter public model & pricing listingopenrouter.ai/api/v1/models catalogueT2· Quality secondary6 h ago6
Hugging Face Hub (public pages, model cards, papers)huggingface.co/zai-org/GLM-4.7/raw/main/README.md model_cardT2· Quality secondary7 h ago1
Hugging Face Hub (public pages, model cards, papers)huggingface.co/zai-org/GLM-4.7 model_pageT2· Quality secondary8 h ago5
Hugging Face Hub (public pages, model cards, papers)huggingface.co/cerebras/GLM-4.7-REAP-268B-A32B model_pageT2· Quality secondary8 h ago5
Hugging Face Hub (public pages, model cards, papers)huggingface.co/cerebras/GLM-4.7-REAP-218B-A32B model_pageT2· Quality secondary8 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
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 →